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UMRs in Boulder Summer School - First Call for Applications
by kristine.stenzel＠colorado.edu 11 Dec '23

11 Dec '23

June 10-13, 2024, University of Colorado, Boulder Held in conjunction with the UMR Parsing Workshop, June 14, 2024 https://umr4nlp.github.io/web/UMRParsingWorkshop.html Impressive progress has been made in many aspects of natural language processing (NLP) in recent years. Most notably, the achievements of transformer-based large language models such as ChatGPT would seem to obviate the need for any type of semantic representation beyond what can be encoded as contextualized word embeddings of surface text. Advances have been particularly notable in areas where large training data sets exist, and it is advantageous to build an end-to-end training architecture without resorting to intermediate representations. For any truly interactive NLP applications, however, a more complete understanding of the information conveyed by each sentence is needed to advance the state of the art. Here, "understanding'' entails the use of some form of meaning representation. NLP techniques that can accurately capture the required elements of the meaning of each utterance in a formal representation are critical to making progress in these areas and have long been a central goal of the field. As with end-to-end NLP applications, the dominant approach for deriving meaning representations from raw textual data is through the use of machine learning and appropriate training data. This allows the development of systems that can assign appropriate meaning representations to previously unseen text. In this four-day course, instructors from the University of Colorado and Brandeis University will describe the framework of Uniform Meaning Representations (UMRs), a recent cross-lingual, multi-sentence incarnation of Abstract Meaning Representations (AMRs), that addresses these issues and comprises such a transformative representation. Incorporating Named Entity tagging, discourse relations, intra-sentential coreference, negation and modality, and the popular PropBank-style predicate argument structures with semantic role labels into a single directed acyclic graph structure, UMR builds on AMR and keeps the essential characteristics of AMR while making it cross-lingual and extending it to be a document-level representation. It also adds aspect, multi-sentence coreference and temporal relations, and scope. Each day will include lectures and hands-on practice. Topics to be covered June 10-13: 1. The basic structural representation of UMR and its application to multiple languages; 2. How UMR encodes different types of MWE (multi-word expressions), discourse and temporal relations, and TAM (tense-aspect-modality) information in multiple languages, and differences between AMR and UMR; 3. Going from IGT (interlinear glossed text) to UMR graphs semi-automatically; 4. Formal semantic interpretation of UMR incorporating a continuation-based semantics for scope phenomena involving modality, negation, and quantification; 5. Extension to UMR for encoding gesture in multimodal dialogue, Gesture AMR (GAMR), which aligns with speech-based UMR to account for situated grounding in dialogue. The fifth day of the summer school, June 14, will be co-located with a UMR Parsing Workshop, focusing on parsing algorithms that generate AMR and UMR representations over multiple languages. https://umr4nlp.github.io/web/UMRParsingWorkshop.html To apply, please complete this form by Jan. 30, 2024. https://www.colorado.edu/linguistics/umrs-boulder-summer-school-application Other important dates: ● Notification of acceptance: Feb. 20, 2024 ● Confirmation of participation: Mar. 1, 2024 ● Arrival in Boulder June 9, departure June 15, 2024. Participation will be fully funded (reasonable airfare, lodging, and meals). This summer school has been made possible by funding from NSF Collaborative Research: Building a Broad Infrastructure for Uniform Meaning Representations (Award # 2213805), with additional support from the University of Colorado Boulder and the CLEAR Center.

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UMR Parsing Workshop 2024 - First Call
by kristine.stenzel＠colorado.edu 11 Dec '23

11 Dec '23

UMR Parsing Workshop - First Call University of Colorado, Boulder June 14, 2024 This workshop will focus on developing parsers for Uniform Meaning Representations. The goal is to start from raw text from real-world settings that could be in any one of many typologically different languages, even low-resource languages for which there is little or no training data. This can be achieved by exploiting a common semantic annotation standard. This workshop has been made possible by funding for NSF Collaborative Research: Building a Broad Infrastructure for Uniform Meaning Representations (Award # 2213805), which is aimed at developing guidelines and annotation for cross-lingual Uniform Meaning Representations, based on the original Abstract Meaning Representation guidelines for English, but ensuring cross-linguistically consistent annotation and recoverability of the original raw texts. This workshop will overlap with the last day of the Colorado UMR Annotation Summer School. The workshop is open to everyone and will cover the fundamentals of UMR annotation and the differences between AMR and UMR. In addition to the talk from our invited speaker, there will be presentations on recent successful approaches to AMR parsing and how they can be applied to UMR parsing. We welcome submissions from anyone on related topics, such as: ● AMR or UMR parsing for any language ● AMR or UMR generation for any language ● Evaluation metrics for AMR or UMR parsing ● Bootstrapping of AMRs or UMRs from related semantic representations such as Propbanks ● Projections of English AMR onto other languages; ● Challenges of applying AMR annotation to languages other than English; ● Challenges of accurate multi-sentence coreference as a subtask of AMR parsing; ● Any other topic related to the parsing and generation of AMRs or UMRs. Important dates ● Workshop paper submissions due: March 30, 2024 ● Notification of acceptance: April 25, 2024 ● Camera-ready versions due: May 30, 2024 Submissions Submissions should report original and unpublished research on topics of interest to the workshop. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should emphasize obtained results rather than intended work and should clearly indicate the state of completion of the reported results. Submission is electronic, using the Workshop submission site in Easy Chair. https://easychair.org/my/conference?conf=umrpw2024 Submissions must adhere to the two-column format of ACL venues, using the Overleaf template taken from ACL 2023. https://www.overleaf.com/latex/templates/acl-2023-proceedings-template/qjdg… Initial submissions should be fully anonymous to ensure double-blind reviewing. Long papers must not exceed eight (8) pages of content; short papers must not exceed four (4) pages of content. References and appendices do not count against these limits. To ensure double-blind reviews, papers must not include the authors’ names and affiliations or self-references that reveal any author’s identity. Papers that do not conform to these requirements will be rejected without review.

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Call for Papers - 11th Inter-Varietal Applied Corpus Studies (IVACS) Biennial Conference - University of Cambridge - 16th & 17th July 2024
by Andrew Caines 11 Dec '23

11 Dec '23

Dear Colleagues, We are delighted to launch the Call for Paper for the *11th Inter-Varietal Applied Corpus Studies (IVACS) Biennial Conference *which will be hosted by the University of Cambridge, U.K., on Tuesday 16th and Wednesday 17th July 2024. Conference website: https://www.ivacs2024.com/ Abstract deadline 20th December, 2023. *Plenary Speakers* We are delighted that the following researchers will be giving plenary talks at the conference: - Dr Brian Clancy <https://www.mic.ul.ie/staff/276-brian-clancy> - Dr Geraldine Mark <https://profiles.cardiff.ac.uk/staff/markg2> Please spread the word! Best wishes, Anne and Andrew *Dr Andrew Caines, Conference Convenor, University of Cambridge* *Prof. Anne O'Keeffe, Inter-Varietal Applied Corpus Studies (IVACS) Network Director* *Call for Papers* *The 11th Inter-Varietal Applied Corpus Studies (IVACS) Biennial Conference* We are particularly interested in papers in but not limited to the following areas: Strand 1 – Corpus Methods and Innovations: Innovations in Corpus Design, Analysis and Annotation Tools; Critical Reflections on Corpus Methods; Advances in Quantitative and Qualitative Approaches to Analysing Corpora; Innovations in Statistics for CL. Strand 2 – Corpus Linguistics, Pragmatics and Discourse: Corpus Approaches to Discourse Analysis, Conversation Analysis, Critical Discourse Analysis; Corpus Pragmatics; CL and Real-World Contexts (e.g. Media Discourse, Classroom Discourse; Workplace Discourse). Strand 3 – Corpus Linguistics and Applied Linguistics: Learner Corpus Research; CL and Second Language Acquisition; Data-Driven Learning; CL for Materials Development; CL and Teacher Education; CL and Lexicography. Strand 4 – Corpus Linguistics, Literature, Texts and Register: CL and Register Studies; Corpus Stylistics; CL and Literary Linguistics; CL and Translation Studies; Forensic Linguistics. Strand 5 – Corpus Linguistics and Speech: CL Speech Technology; CL and Multimodality; Spoken Corpora; Corpus Phonology. Strand 6 – Corpus Linguistics and Sociolinguistics: CL and Language Change; Language Varieties and Variation; CL and Minority Language Studies. Strand 7 – Computational Linguistics and Corpora: The use of Corpora for Computational Linguistics research; Exploration and analyses of Corpora using Computational Linguistic methods; Data collection and annotation for Computational Linguistics. *Abstract Submission and Timeline* Full papers will involve a 20-minute presentation, plus 10 minutes for questions and discussion. Posters can present work in progress or summaries of completed studies, research projects or other innovations. Posters will be printed in portrait A0 size. Abstracts will be 300 words (not including reference list, if any). Note that the deadlines are 11.59 pm UTC -12h <https://www.timeanddate.com/time/zone/timezone/utc-12> (“anywhere on Earth”). Abstract deadline 20th December, 2023 Notification 31st January, 2024 Conference 16th-17th July, 2024 Submission of abstracts: OpenReview <https://openreview.net/group?id=IVACS/2024/Conference> *Seeking Reviewers* Would you have time to help us review the abstracts in January? Maximum 5 per person. Please sign up here <https://forms.gle/BkopQZ12esXMAnv36>

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Third call for papers: The 9th Workshop on Noisy and User-generated Text (WNUT 2024)
by rob van der goot 11 Dec '23

11 Dec '23

The WNUT Workshop will be collocated with EACL 2024 (Malta). The website for the workshop is at: http://noisy-text.github.io/ The WNUT workshop focuses on core NLP tasks (e.g., POS/NER tagging and translation; not computational social science) over user-generated text, such as that found on social media, web forums, online reviews, digital health records, or language learner essays. We seek submissions of long and short papers on original and unpublished work (same format and page limit as EACL main conference). All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally. There will be best paper awards for both short and long papers. Topics of interest include but are not limited to: * NLP of noisy text, e.g. POS, NER tagging, Parsing * Text normalization and error correction * Paraphrase identification and semantic similarity of short text or noisy text * Extracting user demographics, profiles, and major life events * Machine translation and Multilingual NLP over noisy text * Information extraction from noisy text, global and regional trend detection, and event extraction * Colloquial language, e.g. idiom detection * Domain adaptation to user-generated text * Detecting rumors, contradictory information, sarcasm and humor on social media * Sentiment analysis * Temporal aspects of user-generated content (resolving time expressions, concept drift, etc...) * Representing and mining language variation in user-generated content * Processing of automatically generated data * Robustness to Noise, both Natural and Adversarial [IMPORTANT DATES] * Submission Deadline: December 18, 2023 (anytime on earth; dual-submission allowed) * Acceptance Notification: January 20, 2024 * Camera-Ready Deadline: january 30, 2024 * Workshop Day: March 21/22, 2024 [INVITED SPEAKERS] * Su Lin Blodgett * Jennifer Foster [ORGANIZERS] * Tim Baldwin (University of Melbourne) * Wei Xu (Georgia Institute of Technology) * Alan Ritter (Georgia Institute of Technology) * Rob van der Goot (IT University of Copenhagen) * Max Müller-Eberstein (IT University of Copenhagen) [SUBMISSION] Submissions should conform to the ACL style guidelines. Long and short paper submissions must be anonymized. Please submit your papers via OpenReview: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/WNUT

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CAiSE'24 Ph.D. Award: First Call for Applications
by Announce 11 Dec '23

11 Dec '23

*** Ph.D. Award: First Call for Applications *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: 1st March, 2024 AoE ***) The deadline to apply for the CAiSE 2024 PhD Award is March 1st 2024. The conditions to apply are: • having participated as an author in a previous CAiSE Doctoral Consortium or at a main CAiSE Event: either the main conference, the CAiSE Forum, EMMSAD, or BPMDS; • having successfully defended the PhD thesis in the last two years (i.e., since January 2022). The application must be submitted electronically to the PhD Awards track of CAiSE 2024 via EasyChair <https://easychair.org/conferences/?conf=caise2024> . The application must be a single PDF file containing: • a short cover letter that includes the list of PhD committee members, • a support letter from the thesis advisor, • the candidate's defended PhD thesis, • the candidate’s CV. About the PhD Award The CAiSE PhD Award 2024 is granted annually to an outstanding recent PhD thesis in the field of Information Systems Engineering. The award is co-sponsored by the CAiSE Steering Committee and Springer. It consists of a certificate, free full registration (5 days) to the next two editions of the CAiSE conference, and a book voucher for a free selection worth EUR 500 from Springer’s printed books collection. In addition, the selected thesis will be recommended for publication as a monograph in the LNBIP series published by Springer, provided that Springer’s publication conditions are met. The PhD theses submitted for the award will be reviewed by a standing committee of senior members selected from the CAiSE Advisory Committee, the CAiSE Steering Committee, and the CAiSE Program Committee. Award Chair Professor Andreas L Opdahl, University of Bergen, Norway Key Dates • Submission of application: 1st March, 2024 (AoE) • Notification: 15th April, 2024 Past Recipents • 2023: Anna Bernasconi, PhD from Politecninco Milano (Italy), thesis title “Model, Integrate, Search... Repeat: a Sound Approach to Building Integrated Repositories of Genomic Data” (link to the forthcoming monograph: https://link.springer.com/book/9783031449062) • 2022: Volodymyr Leno, PhD from University of Melbourne (Australia), thesis title “Robotic Process Mining: Accelerating the adoption of Robotic Process Automation” (link to the thesis: https://minerva-access.unimelb.edu.au/bitstream/handle/ 11343/297274/98f9efca-4dd2-eb11-94dc-0050568d0279_manuscript.pdf) • 2021: Orlenys Lopez Pintado, PhD from University of Tartu (Estonia), thesis title “Collaborative Business Process Execution on the Block Chain: the Caterpillar System” (link to the thesis: https://dspace.ut.ee/items/1e09072c-5442-463a-b8c6-0425951cb90b) • 2020: Steven Mertens, PhD from Ghent University (Belgium), thesis title “Enabling process management for loosely framed knowledge-intensive processes” (link to the published monograph: https://www.springer.com/gp/book/9783030661922) • 2019: Giovanni Meroni, PhD from Politecnico di Milano (Italy), thesis title “Artifact-driven business process monitoring” (link to the published monograph: https://www.springer.com/gp/book/9783030324117) • 2018: Wei Wang, PhD from University of Queensland (Australia) thesis title “Integrated Modeling of Business Processes and Business Rules” (link to the published monograph: https://www.springer.com/gp/book/9783030118082) • 2017: Marcela Ruiz, PhD from the Universidad Politécnica de Valencia (Spain), thesis title “TraceME: A Traceability-Based Method for Conceptual Model Evolution” (link to the published monograph: https://www.springer.com/gp/book/9783319897158) • 2016: Le Minh Sang Tran, PhD from University of Trento (Italy), thesis title “Managing the Uncertainty of the Evolution of Requirements Models” (testimony of the 2016 CAiSE PhD Award winner: https://www.youtube.com/watch?v=q-vvlH66lC4)

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1st CFP - Third Workshop on Digital Humanities and Natural Language Processing
by Leonardo Zilio 11 Dec '23

11 Dec '23

* We apologize if you receive multiple copies of this CFP * For the online version of this Call, visit: https://easychair.org/cfp/3rdDHandNLP =============== 3rd DHandNLP Third Workshop on Digital Humanities and Natural Language Processing Co-located with PROPOR 2024 14-15 March 2024, Universidade de Santiago de Compostela, Galizia, Spain Website: https://sites.google.com/view/dhandnlp-propor Submission deadline: 20 January 2024 (23:59 GMT) Submission link: https://easychair.org/conferences/?conf=3rddhandnlp 3rd DHandNLP is a one-day workshop during PROPOR - 14-15 March 2024 *Workshop description* Digital humanities (DH) stand at the intersection of computing and the humanities, involving collaborative transdisciplinary research. While current DH practice already shows an impressive array of new digital tools and methods for the study of the humanities, we believe that natural language processing techniques and experience can significantly enhance the field, while DH can also bring new testbeds and problems for the NLP community. As shown in the previous workshops, there is an increasing set of researchers in the processing of Portuguese who are interested in this active collaboration, and we believe that we should cater for a forum which may join the two communities, DH and NLP, showcasing several different aspects allowed by this cross-fertilization. The 3rdDHandNLP welcomes papers stemming from humanities that deal with language, such as philosophy, history, geography, law, philology, linguistics, or literature, and that can benefit from a digital approach or enhanced with computational linguistics methods or techniques, be it by using large sets of (written or spoken) textual data or by developing applications for an increasingly digital world. We also welcome papers that use “traditional” DH tools or techniques, such as topic modeling, and papers that use standard NLP tools that were already applied in different DH contexts, such as named entity recognition, document clustering and classification, sentiment analysis, dialect/language identification and linked data. *Main workshop topics* - Digital philology, critical editions production and textual criticism - Lexicometrics, lexicology and lexicography - Visualization or sonification of large textual bodies in specific domains - Computational stylometry, authorship attribution and profiling - Distant reading of literature - Construction of historical thesauri Finally, we are especially interested in approaches that deal with historical material, involving not only historical linguistics but historical lexicology, corpus processing and their multilingual analysis. *SUBMISSION GUIDELINES* All papers must be anonymous, original and not simultaneously submitted to another journal or conference. They must strictly adhere to the submission templates of the main conference. We welcome submissions of: - Short papers, consisting of up to 4 pages of content, plus unlimited pages of references - Full papers, consisting of up to 8 pages of content, plus unlimited pages of references Kind regards, Maria José B. Finatto and Leonardo Zilio (on behalf of the organising committee)

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PROPOR24 Deadline extension + last call for demos.
by Iria de Dios Flores 11 Dec '23

11 Dec '23

The PROPOR 2024 demonstration program committee invites submissions for demonstrations. Following the spirit of previous PROPOR editions, the demonstration track aims at bringing together academia and industry, creating a forum where more than written or spoken descriptions of research are available. Thus, demos should allow attendees to try and test them during their presentation in a dedicated session that will provide a more informal and interactive setting. Products, systems, or tools are examples of acceptable demos. Both early-research prototypes and mature systems may also be considered. *Important dates:* Demos Submission: January 10 2024 Notification of acceptance or rejection: February 21 2024 Camera-ready demo paper: February 28 2024 Conference: March 14 and 15 2024 *Topics:* The areas of interest include all topics related to theoretical and applied issues of written and spoken Portuguese and Galician, such as, but not limited to, the same topics as for the conference paper submission: Natural language processing tasks (e.g. parsing, word sense disambiguation, coreference resolution) Natural language processing applications (e.g. question answering, subtitling, summarization, sentiment analysis) Natural language generation Information extraction and information retrieval Speech technologies (e.g. spoken language generation, speech and speaker recognition, spoken language understanding) Speech applications (e.g. spoken language interfaces, dialogue systems, speech-to-speech translation) Resources, standardization and evaluation (e.g. corpora, ontologies, lexicons, grammars) NLP-oriented linguistic description or theoretical analysis Distributional semantics and language modeling Portuguese language varieties and dialect processing (including the language varieties of Angola, Brazil, Cape Verde, East Timor, Galicia, Guinea-Bissau, Macau, Mozambique, Portugal, São Tomé, and Principe) Multilingual studies, methods, applications, and resources including Portuguese/Galician The systems may be of the following kinds: Natural Language Processing systems or system components Application systems using language technology components Software tools for computational linguistics research Software for demonstration or evaluation Development tools *Submissions:* Submissions should consist of a non-anonymous brief description document of up to three pages of content, including references. Developers must outline the main characteristics of their system/product/tool, provide sufficient details to allow its evaluation, and give information on how they plan to demonstrate it. Developers are encouraged to focus their description on the relevance of the computational processing component of Portuguese or Galician in the proposed system. Submissions should be written in English. At submission time, only PDF format is accepted. For the final versions, authors of accepted papers will be given one extra content page to take the reviews into account. Authors of accepted papers will be requested to send the source files for the production of the proceedings. Submissions must be sent via EasyChair ( https://easychair.org/my/conference?conf=propor2024) — please select the track: PROPOR2024 Demo Paper. All submitted papers must conform to the official ACL style guidelines. ACL provides style files for LaTeX and Microsoft Word that meet these requirements. They can be found at: LaTeX styelesheet: https://github.com/acl-org/acl-style-files/tree/master/latex MS Word stylesheet: https://github.com/acl-org/acl-style-files/tree/master/word Publication: Accepted demo papers are expected to be published by ACL as a volume in ACL Anthology (https://aclanthology.org/) as part of the PROPOR 2024 proceedings. They will be available online. To ensure publication, at least one author of each accepted paper must complete an adequate registration for PROPOR 2024 by the early registration deadline. *Presentation format:* Accepted demos will be presented at a designated demo session with an optional accompanying poster. Developers should make sure they could run their demos properly. Thus, it is the authors’ responsibility to provide the necessary technical conditions (i.e. equipment) for the demo at the conference. Note that the local organizers will not provide any hardware or software. Free high-speed Internet access will be available. There will be a best demo award for the best-presented project. Further details on the date, time, and instructions of the demonstration session(s) will be determined and provided at a later date. *Demo chairs:* Marlo Souza (Universidade Federal da Bahia, Brazil) Iria de-Dios-Flores (Universidade de Santiago de Compostela, Spain) -- *Iria de-Dios-Flores (PhD)* *https://sites.google.com/view/iriadediosflores/ <https://sites.google.com/view/iriadediosflores/>*

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1st CfP: Workshop on Reference, Framing, and Perspective
by pia.sommerauer＠live.com 11 Dec '23

11 Dec '23

We are very pleased to share our first call for papers for our workshop on Reference, Framing, and Perspective co-located with LREC-COLING 2024. * Workshop website: https://cltl.github.io/reference-framing-perspective/ * When: Saturday, May 25th, 20204 * Where: Torino, Italy (co-located with LREC-COLING 2024) * Deadline for submissions: February (details tba) * Paper submission link: tba * Deadline for camera-ready papers: beginning of April 2024 (details tba) When something happens in the world, we have access to an unlimited range of ways (from lexical choices to specific syntactic structures) to refer to the same real-world event. Variations in reference may convey radically different perspectives. This process of making reference to something by adopting a specific perspective is also known as framing. Although previous work in is this area is present (see Ali and Hassan (2022)’s survey for an overview), there is a lack of unitary framework and only few targeted datasets (Chen et al., 2019) and tools based on Large Language Models exist (Minnema et al., 2022). In this workshop, we propose to adopt Frame Semantics (Fillmore, 1968, 1985, 2006) as a unifying theoretical framework and analysis method to understand the choices made in linguistic references to events. The semantic frames (expressed by predicates and roles) we choose give rise to our understanding, or framing, of an event. We aim to bring together different research communities interested in lexical and syntactic variation, referential grounding, frame semantics, and perspectives. We believe that there is significant overlap within the goals and interests of these communities, but not the necessary common ground to enable collaborative work. Shared dataset: To facilitate discussion among participants and to make this a real working workshop, we make available a shared corpus. The corpus is composed of news articles reporting on the 2020/2021 Eurovision Song Contest (canceled in 2020 and held in 2021) that took place in Rotterdam (the Netherlands). The news articles have been collected using the structured data-to-text approach (Vossen et al., 2018). At this point, the corpus contains texts in English and Dutch. We are extending it to a range of other European languages. We invite participants to submit short and targeted analyses using the data (extended abstracts to be discussed in a hands-on data session). Participants are also free to use the data in regular contributions. More information about the corpus will be released soon. Regular contributions: We aim to lay the groundwork for such efforts. We invite contributions (regular long papers of 8 pages or short papers of 4 pages) targeting any of the following - non-exhaustive - list of topics: * Theoretical models of framing and perspective * Annotation frameworks for framing and perspectives * Computational models of framing and perspective * Approaches for creating and analyzing referentially grounded datasets (containing different perspectives, written at different points in time, written in different languages) * Approaches for and analyses of texts about contested and divisive events triggering different opinions and perspectives * Analyses of and methods for analyzing (diachronic) lexical variation and framing * Language resources for reference, frames, and perspectives * Approaches and tools to compare claims of sources * Frames as expressions of bias in the representation of social groups * User interface for the visualization of multiple perspectives Extended abstracts: We invite extended abstracts (1,500 words maximum) about small analyses or experiments conducted on our Shared Data. The abstracts will be non-archival and discussed in a dedicated data session. Invited speakers: Maria Antoniak Vered Shwartz Organizers: Pia Sommerauer, Tommaso Caselli, Malvina Nissim, Levi Remijnse, Piek Vossen

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Third Call for Papers: The 18th Linguistic Annotation Workshop
by Sophie Henning 10 Dec '23

10 Dec '23

***Third Call for Papers*** **Overview** - Submission of long and short papers: December 18, 2023 (no deadline extension possible) - Submission page: https://softconf.com/eacl2024/LAW-XVIII/ - Website: https://sigann.github.io/LAW-XVIII-2024/ **Workshop Description** LAW-XVIII will be the 18th annual meeting endorsed by the ACL Special Interest Group for Annotation (SIGANN). It will take place in March 2024 at EACL in St. Julians, Malta. Linguistic annotation of natural language corpora is the backbone of supervised methods in both statistical and neural natural language processing. Annotated corpora are also a major supporting source of information for unsupervised methods, multitask learning, and evaluation of both NLP tools and theories about language within and outside of linguistics. The LAW-XVIII will provide a forum for presentation and discussion of innovative research on all aspects of linguistic annotation, including creation/evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, semi-supervised “human in the loop” methods of annotation, crowd-sourcing approaches, and more. The LAW will also provide a forum for annotation researchers to work towards standardization, best practices, and interoperability of annotation information and software. In line with the EACL main conference, LAW will be hybrid, allowing both in-person and virtual presentations. **Special Theme** The special theme of LAW-XVIII is “Annotation in the Age of Large Language Models (LLMs).” In addition to LAW’s general topics, we specifically invite submissions on the following topics: - Comparison of linguistically annotated datasets vs. datasets created using large language models. Potential topics include: - Comparison of models that have been trained on the respective datasets - Impact of data size of manually annotated resources already available prior to dataset creation with LLMs - Is synthetic dataset creation a viable option for non-standard domains, e.g., the medical domain, where expert knowledge is required? - Non-performance-related considerations of manual vs. synthetic dataset creation (e.g., explainability) - Impact and prevention of test dataset contamination in LLM training - Usefulness of LLMs for linguistic research (in relation to annotation). - Any other topics related to the special theme. **Submissions** We accept both direct submissions and commitments from ACL Rolling Review (ARR). We welcome submissions of long and short papers, posters, and demonstrations relating to the special theme or any aspect of linguistic annotation, including: - Annotation procedures - Innovative automated and manual strategies for annotation - Machine learning and knowledge-based methods for automation of corpus annotation - Creation, maintenance, and interactive exploration of annotation structures and annotated data - Annotation evaluation - Inter-annotator agreement and other evaluation metrics and strategies - Qualitative evaluation of linguistic representations - Innovative means to evaluate annotation quality - Annotation access and use - Representation formats/structures for annotations of different phenomena, especially annotations at multiple levels, and means to explore/manipulate them - Linguistic considerations for merging annotations of distinct phenomena - Annotation schemes, guidelines and standards - New and innovative annotation schemes, comparison of annotation schemes - Methodologies and resources for annotation scheme development - Best practices for annotation procedures and/or development and documentation of annotation schemes - Interoperability of annotation formats and/or frameworks among different systems as well as different tasks, frameworks, modalities, and languages - Results from the application and evaluation of standards for linguistic annotation - Annotation software and frameworks - Development, evaluation and/or innovative use of annotation software frameworks Submissions should report original and unpublished research on topics of interest to the workshop. We also invite substantiated position papers, in particular with regard to our special theme. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should emphasize obtained results rather than intended work, and should indicate clearly the state of completion of the reported results. A paper accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Long/short paper submissions must use the official ACL style templates. Long papers must not exceed eight (8) pages of content. Short papers and demonstration papers must not exceed four (4) pages of content. References do not count against these limits. Note: The supplementary material does not count towards page limit and should not be included in the paper, but should be submitted separately using the appropriate field on the submission website. All submissions must be in PDF format. Reviewing of papers will be double-blind. Therefore, the paper must not include the authors' names and affiliations or self-references that reveal the authors’ identity--e.g., "We previously showed (Smith, 1991) ..." should be replaced with citations such as "Smith (1991) previously showed ...". Papers that do not conform to these requirements will be rejected without review. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop co-chairs ( law-xviii-2024(a)googlegroups.com). Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason. We follow previous and current ACL policy to establish an anonymity period (from submission to author notification) during which non-anonymous posting of preprints is not allowed. Also included in that policy are instructions to reviewers to not rate papers down for not citing recent preprints. Authors are asked to cite published versions of papers instead of preprint versions when possible. Papers can be submitted at https://softconf.com/eacl2024/LAW-XVIII/. If you have any questions, please feel free to contact the program co-chairs via e-mail or check the workshop website ( https://sigann.github.io/LAW-XVIII-2024/) for updates. **Dates** (All submission deadlines are 11:59 p.m. UTC-12:00 “anywhere on Earth” and will not be extended) Anonymity period starts: November 18, 2023 Submission of long and short papers: December 18, 2023 ARR Commitment deadline: January 17, 2024 Notification of acceptance: January 20, 2024 Camera-ready papers due: January 30, 2024 Workshop: March 21 or 22, 2024 **Workshop Organizers** Manfred Stede (Program Co-Chair) Sophie Henning (Program Co-Chair) Amir Zeldes (ACL SIGANN President) Ines Rehbein (ACL SIGANN Secretary)

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First CFP: 2nd Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia (EURALI)
by Atul K. Ojha 09 Dec '23

09 Dec '23

Apologies for cross-posting. ------------------------- 2nd Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia (EURALI) @ LREC-COLING 2024 Date: 20-25 May, 2024 Venue: Lingotto Conference Centre - Torino (Italia) Main website: https://sites.google.com/view/eurali/ <https://sites.google.com/view/eurali/> LREC-COLING 2024 website: https://lrec-coling-2024.org/ —————————————————————————————————— Workshop overview and objectives This workshop will focus on the development of language technology resources and tools for indigenous, endangered and lesser-resourced languages on the Eurasian continent. In a media-centric world where language technology allows people to break cultural and language barriers, it is important that speakers of endangered and indigenous languages can be empowered to use this technology to continue to share their knowledge and culture with the world. With the hope of bridging this gap, the goal of this workshop is to increase visibility and promote research for lesser-resourced and underrepresented languages in Europe and Asia. Through collaboration between NLP researchers, language experts and linguists working for the benefit of endangered languages in these communities, we aim to create language technology resources that will help to preserve and revive these languages for future generations. Furthermore, the workshop aims to promote the emergence of new methods that benefit linguists, for instance for automation of analysis and validation processes, field linguists, the facilitation of data collection and analysis processes, and computational linguists by developing new techniques necessary for linguistic analysis, development of supervised or weakly supervised methods for the analysis of poorly written or undocumented languages. The main objective of the workshop is to create basic resources and develop tools for Eurasiatic languages, including but not limited to the following topics: - identifying languages and variants spoken in these regions - creation of language resources and applications, e.g. sentiment analysis, named entity recognition, and syntactic parsing - standardization for endangered languages - automatic identification and classification of lexical variation and language varieties - adaptation of fundamental NLP tools for these languages, e.g., morphological analysis, taggers and parsers - reusability of language resources in NLP applications, e.g. machine translation, and POS tagging - machine translation between closely related languages evaluation of language resources and tools when applied to lesser-resourced languages in the same language families - corpora, resources, and tools for closely related languages - linguistic and textual similarities among languages in Eurasia - digitalization of endangered languages - challenges in the creation of language resources and tools from linguistic perspectives (which includes any perspective formal theory) Submissions We are seeking submissions under the following category: Full papers: 8 pages+unlimited reference Short papers (work in progress): 4 pages+unlimited reference Posters (innovative ideas/proposals, a research idea of students): 4 pages+unlimited reference Demo (of working online/standalone systems): 2 pages Papers must describe original, completed or in progress, and unpublished work. The accepted papers will be given up for full/short paper and poster in the workshop proceedings and will be presented as an oral presentation or poster. Papers should be formatted according to the LREC-COLING style sheet ( https://lrec-coling-2024.org/authors-kit/), which is provided on the LREC-COLING 2024 website(https://lrec-coling-2024.org/). Please submit papers in PDF format to the START account (the submission link will be available soon). For further information on this initiative, please refer to the https://sites.google.com/view/eurali/. Important Dates (tentative) February 23, 2024: Paper submissions due March 22, 2024: Paper notification of acceptance May 20-25, 2024: Workshop Workshop Chair: Atul Kr. Ojha, Sina Ahmadi, Chao-Hong Liu, Potamu Research Ltd, Dublin (Ireland) John P. McCrae, University of Galway, Galway (Ireland) Theodorus Fransen, Università Cattolica del Sacro Cuore, Milan (Italy) Silvie Cinkovà, Charles University, Prague (Czech Republic) Programme Committee (to be updated): Abigail Walsh*, Dublin City University, Dublin (Ireland) Agata Savary, University of Paris-Saclay, Paris-Saclay (France) A. Seza Doğruöz, Ghent University, Ghent (Belgium) Alina Karakanta, University of Leiden, Leiden (Netherlands) Alina Wróblewska, Institute of Computer Science, Jana Kazimierza, Warszawa (Poland) Akanksha Bansal, Panlingua, Delhi (India) Anabela Barreiro*, INESC-ID, Lisboa (Portugal) Atul Kr. Ojha, University of Galway, Galway (Ireland) & Panlingua, (India) Bharathi Raja Chakravarthi, University of Galway, Galway (Ireland) Bogdan Babych, Heidelberg University, Heidelberg (Germany) Chao-Hong Liu, Potamu Research Ltd, Dublin (Ireland) Daan van Esch, Google, Amsterdam (Netherlands) Daniel Zeman, Charles University, Prague (Czech Republic) Deepak Alok, IIT-Delhi, Delhi (India) Dorothee Beermann, Norwegian University of Science and Technology, Trøndelag (Norway) Esha Banerjee, J.P. Morgan, Bengaluru (India) Ekaterina Vylomova, University of Melbourne, Melbourne (Australia) George Rehm, GmbH, Berlin (Germany) Jamal Abdul Nasir, University of Galway, Galway (Ireland) Joakim Nivre, Uppsala University, (Sweden) John P. McCrae, University of Galway, (Ireland) Jonathan Washington, Swarthmore College, Swarthmore (USA) Joseph Mariani, LIMSI-CNRS, Pairs (France) Kaja Dobrovoljc, University of Ljubljana, Ljubljana (Slovenia) Katharina Kann*, University of Colorado at Boulder, USA Kevin Patrick Scannell, Cadhan Aonair, LLC, Missouri (USA) Khalid Choukri, ELDA/ELRA, Paris (France) Marie-Catherine de Marneffe, UCLouvainCollège Léon Durpiez, (Belgium) Massimo Monaglia, University of Florence, (Italy) Nicoletta Calzolari, CNR-ILC, (Italy) Olesea Caftanatov, Vladimir Andrunachievici Institute of Mathematics and Computer Science, Chişinău (Moldova) Richard Sproat, Google, Tokyo (Japan) Rico Sennrich, University of Zurich, Zurich (Switzerland) Ritesh Kumar, Agra University, Agra (India) Saliha Muradoglu, Australian National University, Canberra (Australia) Silvie Cinkovà, Charles University, Prague (Czech Republic) Sina Ahmadi, George Mason University, (USA) Stella Markantonatou, Athena RC, Athens (Greece) Sourabrata Mukherjee, Charles University, Prague (Czech Republic) Sunipa Dev, Google, Washington (USA) Theodorus Fransen, Università Cattolica del Sacro Cuore, Milan (Italy) Valentin Malykh, MTS AI / ITMO University Verginica Barbu Mititelu, Research Institute for Artificial Intelligence, Bucharest (Romania) Voula Giouli, Institute for Language and Speech Processing, Athens (Greece)

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First CfP: First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024)
by t.ranasinghe＠aston.ac.uk 08 Dec '23

08 Dec '23

First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) Lancaster University, Lancaster, United Kingdom 29-30 July 2024 https://www.nlpaics.com First Call for Papers Recent advances in Natural Language Processing (NLP), Deep Learning and Large Language Models (LLMs) have resulted in improved performance of applications. . In particular, there has been a growing interest in employing AI methods in different Cyber Security applications. In today's digital world, Cyber Security has emerged as a heightened priority for both individual users and organisations. As the volume of online information grows exponentially, traditional security approaches often struggle to identify and prevent evolving security threats. The inadequacy of conventional security frameworks highlights the need for innovative solutions that can effectively navigate the complex digital landscape for ensuring robust security. NLP and AI in Cyber Security have vast potential to significantly enhance threat detection and mitigation by fostering the development of advanced security systems for autonomous identification, assessment, and response to security threats in real-time. Recognising this challenge and the capabilities of NLP and AI approaches to fortify Cyber Security systems, the First International Conference on Natural Language Processing (NLP) and Artificial Intelligence (AI) for Cyber Security (NLPAICS’2024) serves as a gathering place for researchers in NLP and AI methods for Cyber Security. We invite contributions that present the latest NLP and AI solutions for mitigating risks in processing digital information. Conference topics The conference invites submissions on a broad range of topics related to the employment of NLP and AI (and in general, language studies and models) for Cyber Security including but not limited to: Societal and Human Security and Safety • Content Legitimacy and Quality o Detection and mitigation of hate speech and offensive language o Fake news, deepfakes, misinformation and disinformation o Detection of machine generated language in multimodal context (text, speech and gesture) o Trust and credibility of online information • User Security and Safety o Cyberbullying and identification of internet offenders o Monitoring extremist fora o Suicide prevention o Clickbait and scam detection o Fake profile detection in online social networks • Technical Measures and Solutions o Social engineering identification, phishing detection o NLP for risk assessment o Controlled languages for safe messages o Prevention of malicious use of ai models o Forensic linguistics • Human Factors in Cyber Security Speech Technology and Multimodal Investigations for Cyber Security • Voice-based security: Analysis of voice recordings or transcripts for security threats • Detection of machine generated language in multimodal context (text, speech and gesture) • NLP and biometrics in multimodal context Data and Software Security • Cryptography • Digital forensics • Malware detection, obfuscation • Models for documentation • NLP for data privacy and leakage prevention (DLP) • Addressing dataset “poisoning” attacks Human-Centric Security and Support • Natural language understanding for chatbots: NLP-powered chatbots for user support and security incident reporting • User behaviour analysis: analysing user-generated text data (e.g., chat logs and emails) to detect insider threats or unusual behaviour • Human supervision of technology for Cyber Security Anomaly Detection and Threat Intelligence • Text-Based Anomaly Detection o Identification of unusual or suspicious patterns in logs, incident reports or other textual data o Detecting deviations from normal behaviour in system logs or network traffic • Threat Intelligence Analysis o Processing and analysing threat intelligence reports, news, articles and blogs on latest Cyber Security threats o Extracting key information and indicators of compromise (IoCs) from unstructured text Systems and Infrastructure Security • Systems Security o Anti-reverse engineering for protecting privacy and anonymity o Identification and mitigation of side-channel attacks o Authentication and access control o Enterprise-level mitigation o NLP for software vulnerability detection • Malware Detection through Code Analysis o Analysing code and scripts for malware o Detection using NLP to identify patterns indicative of malicious code Financial Cyber Security • Financial fraud detection • Financial risk detection • Algorithmic trading security • Secure online banking • Risk management in finance • Financial text analytics Ethics, Bias, and Legislation in Cyber Security • Ethical and Legal Issues o Digital privacy and identity management o The ethics of NLP and speech technology o Explainability of NLP and speech technology tools o Legislation against malicious use of AI o Regulatory issues • Bias and Security o Bias in Large Language Models (LLMs) o Bias in security related datasets and annotations Datasets and resources for Cyber Security Applications Specialised Security Applications and Open Topics • Intelligence applications • Emerging and innovative applications in Cyber Security Submissions and Publication NLPAICS welcomes high-quality submissions in English, which can take two forms: • Regular long papers: These can be up to eight (8) pages long, presenting substantial, original, completed, and unpublished work. • Short papers: These can be up to four (4) pages long and are suitable for describing small, focused contributions, negative results, system demonstrations, etc. Note that the page limits mentioned above exclude additional pages for references, ethical considerations, conflict-of-interest statements, as well as data and code availability statements. Papers must be anonymised to support double-blind reviewing. Please submit your work as pdf using the following link: https://softconf.com/n/nlpaics2024/ Submission templates can be accessed here: LaTeX Overleaf, LaTeX , MS Office Accepted papers, including both long and short papers, will be published as part of the same e-proceedings to be uploaded on ACL Anthology. Important dates • Submissions due: 5 April 2024 • Reviewing process: 25 April-31 May 2024 • Notification of acceptance: 5 June 2024 • Camera-ready due: 20 June 2024 • Conference: 29-30 July 2024 Venue The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) will take place at Lancaster University and is organised by the Lancaster University UCREL NLP research group. Organisation • Conference Chair o Ruslan Mitkov (Lancaster University) • Conference Programme Chairs o Cengiz Acartürk (Jagiellonian University) o Matthew Bradbury (Lancaster University) o Mo El-Haj (Lancaster University) o Paul Rayson (Lancaster University) • Sponsorship Chair o Saad Ezzini (Lancaster University) • Publicity Chair o Tharindu Ranasinghe (Aston University) • Publication Chair o Ignatius Ezeani (Lancaster University) Contact For further information please refer to the conference website (nlpaics.com) for regular updates. General queries can be emailed to info(a)nlpaics.com

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First CfP: Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD 2024)
by Kilian Evang 08 Dec '23

08 Dec '23

First CfP: Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD 2024) Co-located with LREC-COLING 2024 Torino, Italy and online May 25, 2024 Workshop Webpage: https://multiword.org/mweud2024/ We are pleased to announce that the multiword expressions (MWE) and Universal Dependencies (UD) research communities are joining forces in 2024 to organize a joint workshop. This is a timely collaboration because the two communities clearly have overlapping interests. For instance, while UD has several dependency relations that can be used to annotate MWEs, both annotation guidelines (i.e. is syntactic irregularity and inflexibility or semantic non-compositionality the leading criterion?) and annotation practice (both across treebanks for a single language and across languages) for these relations can be improved (Schneider and Zeldes, 2021). The PARSEME MWE-annotated corpora for 26 languages build on UD annotated corpora (Savary et al., 2023). Both communities share an interest in developing guidelines, data-sets, and tools that can be applied to a wide range of typologically diverse languages, raising fundamental questions about tokenization, lemmatization, and morphological decomposition of tokens. Proposals for harmonizing annotation practices between what has been achieved in PARSEME and UD and expanding PARSEME MWE annotation to non-verbal MWEs are also central to the recently started UniDive COST action (CA21167) <https://unidive.lisn.upsaclay.fr/doku.php?id=start>. The workshop invites submissions of original research on MWE, UD, and the interplay of both. In particular, the following topics are especially relevant: - Sensitivity of LLMs to MWE and syntactic dependencies. Studies along the lines of Manning et al. (2020) (UD), Nedumpozhimana and Kelleher (2021), Garcia et al. (2021), Fakharian and Cook (2021), Moreau et al. (2018) (MWE), and others on the question to what extent LLMs make use of syntactic dependencies or are capable of detecting MWEs and capturing their semantics. - Applicability of UD and MWE annotation and discovery for low-resource and typologically diverse languages and language varieties. Both UD and PARSEME aim at universal applicability across a wide range of languages. Much theoretical, computational, and empirical work concentrates on high-resource languages however. Applying these frameworks to typologically diverse languages may lead one to reconsider the notion of token, word, and morphological segmentation, and to reassess the notion of MWE for languages that feature compounding or incorporation (Baldwin et al., 2021; Haspelmath, 2023). - Case studies. Studies on the consistency, coverage or universal applicability of MWE annotation in the UD or PARSEME frameworks, as well as studies on automatic detection and interpretation of MWEs in corpora. - MWE and UD processing to enhance end-user applications. MWEs have gained particular attention in end-user applications, including MT (Zaninello and Birch, 2020; Han et al., 2021), simplification (Kochmar et al., 2020), language learning and assessment (Paquot et al., 2019; Christiansen and Arnon, 2017), social media mining (Maisto et al., 2017), and abusive language detection (Zampieri et al., 2020; Caselli et al., 2020). We believe that it is crucial to extend and deepen these first attempts to integrate and evaluate MWE technology in these and further end-user applications. - Testing developed systems on the latest dataset versions. Authors are also encouraged to submit papers that test the developed systems using the recent UD 2.13 and/or PARSEME 1.3 releases. Organizational Details - The workshop is sponsored by ACL-SIGLEX <https://siglex.org/> and UniDive <https://unidive.lisn.upsaclay.fr/doku.php?id=start>. - UniDive members with accepted papers may be eligible for travel reimbursement. - If you are based in an underrepresented country or work on low-resource languages and have an accepted paper, you may be eligible for an ACL-SIGLEX travel grant of up to 500 USD. - The workshop follows LREC-COLING’s hybrid online/onsite format. - Workshop proceedings will be published in the ACL Anthology. - The workshop follows the ACL anti-harassment policy <https://www.aclweb.org/adminwiki/index.php/Anti-Harassment_Policy>. Submission Instructions The workshop invites two types of submissions: - archival submissions that present substantially original research in both long paper format (8 pages + references) and short paper format (4 pages + references) - non-archival submissions of abstracts describing relevant research presented/published elsewhere which will not be included in the MWE-UD proceedings. Papers should be submitted via the workshop’s START submission page (link will be provided once available). Please choose the appropriate submission format (archival/non-archival). Submissions must follow the LREC-COLING 2024 stylesheet <https://lrec-coling-2024.org/authors-kit/>. When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC-COLING authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones) Archival papers with existing reviews from ACL Rolling Review will also be considered. A paper may not be simultaneously under review through ARR and MWE-UD. A paper that has or will receive reviews through ARR may not be submitted for review to MWE-UD. Important Dates (Tentative) Paper submission: Feb 25, 2024 ARR paper commitment: Mar 25, 2024 Notification of acceptance: Apr 1, 2024 Camera ready papers due: Apr 8, 2024 Workshop: May 25, 2024 All deadlines are at 23:59 UTC-12 (Anywhere on Earth). Organizing Committee Archna Bhatia, Gosse Bouma, Kilian Evang, Marcos Garcia, Voula Giouli, Lifeng Han, Joakim Nivre. For any inquiries contact the Organizing Committee at mweud2024-organizers(a)uni-duesseldorf.de.

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Paris Graduate School of Linguistics: masters programme
by Jonathan Ginzburg 08 Dec '23

08 Dec '23

Paris Graduate school of Linguistics offers 12 Masters specialties. Application for September 2024 is open https://mobility.smarts-up.fr/ Choose one or our master specialties and apply for a 10 000 euros /year grant https://paris-gsl.org/applying <https://paris-gsl.org/> Deadline: January 19th 2024 (5 pm Paris time) Please circulate this information Anne Abeillé Professor Head of Paris Graduate School of Linguistics https://paris-gsl.org/ Université Paris Cité

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Emerging Researcher: Data Analyst (British Council)
by Felice, Mariano (Exams) 08 Dec '23

08 Dec '23

An opportunity to join the Assessment Research Group at the British Council as Emerging Researcher: Data Analyst. Full details and link to application here: https://careers.britishcouncil.org/job/London-Emerging-Researcher-Data-Anal… For any enquiries, please contact Dr Karen Dunn at Karen.Dunn(a)britishcouncil.org<mailto:Karen.Dunn@britishcouncil.org>. Deadline for applications is 8th January. The British Council is the United Kingdom's international organisation for cultural relations and educational opportunities. A registered charity: 209131 (England and Wales) SC037733 (Scotland). This message is for the use of the intended recipient(s) only and may contain confidential information. If you have received this message in error, please notify the sender and delete it. The British Council accepts no liability for loss or damage caused by viruses and other malware and you are advised to carry out a virus and malware check on any attachments contained in this message.

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Job posting: Research Fellow in NLP for Clinical Linguistics
by Gloria Gagliardi 08 Dec '23

08 Dec '23

**With apologies for cross-posting** The Clinical Linguistics@LLiS Group at the University of Bologna, Italy, invites applications for a research position in NLP for Clinical Linguistics. The research activities will be carried out within the ReMind project - an ecological, cost-effective AI platform for early detection of prodromal stages of cognitive impairment, founded by MUR with the PRIN 2022 grant (CUP J53D23008380006), under the supervision of Prof. Gloria Gagliardi. We are looking for a proactive team member with a master’s degree or a PhD in Computer Science/Computational Linguistics. The candidate should have a strong background in corpus linguistics, machine learning and Natural Language Processing and good programming skills (i.e., Python). What we offer: - Duration: 18 months - Salary: 22.293,68 EUR/year (gross), around 1650 EUR/month (net) - Flexible working hours and home office arrangements For further information please contact Gloria Gagliardi (gloria.gagliardi(a)unibo.it). Interested? Apply here: https://bandi.unibo.it/ricerca/assegni-ricerca?id_bando=66888

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Postdoctoral position in natural language processing, Univ. Lorraine, Nancy, France
by Mathieu Constant 07 Dec '23

07 Dec '23

The Research unit ATILF (Computer Processing and Analysis of the French Language) offers a postdoctoral position in natural language processing (NLP). Topic: Discovery of multiword expressions, their meaning and their linguistic properties in texts using large language models Location: ATILF, Nancy, France Starting date: from February 2024 Duration: 12 months (possibility to extend the duration for one more year) Supervisors: Mathieu Constant (Univ. Lorraine, France) and Agata Savary (Univ. Paris-Saclay, France) Salary: depends on experience after PhD and salary grids, from 3070 (<2-year experience) to 4465 euros (>7-year-experience) before tax Application deadline: 14th December 2023 (extended deadline) Subject. The term « multiword expression » refers to a combination of multiple lexical items that displays irregular composition possibly on different linguistic levels (morphology, syntax, semantics, …). They include a large variety of phenomena such as idioms (run around in circles), support verb constructions (take a walk), nominal compounds (dry run), complex function units (in spite of). They have been the subject of extensive research work in the NLP community over the last 50 years. The goal of this post-doc position is to investigate new methods for discovering multiword expressions, their meaning and their linguistic properties in texts, in order to enrich an induced semantic lexicon with new multiword entries, definitions, argumental structure, and other properties. The emergence of Large Language Models (LLM) opens new promising perspectives for multiword expressions, not only regarding their semantic compositionality but also their linguistic characterization. The methods will be primarily experimented on French, but other languages are also possible. Context. The position is part of the SELEXINI project (https://selexini.lis-lab.fr <https://selexini.lis-lab.fr/>, 2022-2026) funded by the French National Research Agency (ANR). The goal of the SELEXINI project is to develop next-generation lexicon induction methods for natural language processing. The induced lexicons will not only cluster word usages according to their senses, but also contain multiword expressions, argumental structure, generated definitions, etc, combining the power of large pre-trained language models and existing lexical resources to address the lack of interpretability and diversity in current language technology. The hired researcher will be fully integrated in the project team. Requirements. Applicants should hold a PhD thesis in computer science, in applied mathematics, in natural language processing, or in computational linguistics. Applications from PhD students planning their defense by December 31st, 2023 are also welcome. The hired post-doc researcher should have the following skills: expertise in deep learning for NLP and notably large language models excellent programming skills good linguistic skills good knowledge of French would be a plus team spirit Application. The applicants should submit a cover letter, a CV including their publications, a list of references for recommendation, a transcript of Master grades, on the following official web site: https://emploi.cnrs.fr/Offres/CDD/UMR7118-SABMAR-017/Default.aspx?Lang=EN <https://emploi.cnrs.fr/Offres/CDD/UMR7118-SABMAR-017/Default.aspx?Lang=EN>. The applications should be submitted not later than December 14.

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ELRA Catalogue of Language Resources - Update
by info＠elda.org 07 Dec '23

07 Dec '23

[Apologies for multiple postings] We are happy to announce that 3 new monolingual lexicons are now available in our catalogue. DiaLEX – Egyptian (DiaLEX-EA) <https://catalog.elra.info/en-us/repository/browse/ELRA-L0206/> ISLRN: 697-328-151-668-9 <http://www.islrn.org/resources/697-328-151-668-9> A comprehensive full-form lexicon of Egyptian Arabic general vocabulary (DiaLEX-EA) including 78 million entries for 31,000 lemmas with all inflected forms, enclitics, proclitics, case endings, declensions, and conjugated forms. Each entry is accompanied by a full and accurate diacriticization (vocalization) as well as an extensive coverage of variants. The lexicon is ideally suited to support natural language processing applications for Egyptian Arabic, especially morphological analysis and speech technology. Quantity and size: 75,204,644 lines / 11,217 MB (11.0 GB) DiaLEX – Emirati (DiaLEX-UA) <https://catalog.elra.info/en-us/repository/browse/ELRA-L0207/> ISLRN: 836-793-503-213-8 <http://www.islrn.org/resources/836-793-503-213-8> A comprehensive full-form lexicon of Emirati Arabic general vocabulary (DiaLEX-UA) including 28 million entries for 29,000 lemmas with all inflected forms, enclitics, proclitics, case endings, declensions, and conjugated forms. Each entry is accompanied by a full and accurate diacriticization (vocalization) as well as an extensive coverage of variants. The lexicon is ideally suited to support natural language processing applications for Emirati Arabic, especially morphological analysis and speech technology. Quantity and size: 24,976,871 lines / 3,841 MB (3.8 GB) DiaLEX – Saudi Arabian Hijazi (DiaLEX-HA) <https://catalog.elra.info/en-us/repository/browse/ELRA-L0208/> ISLRN: 849-157-479-216-3 <http://www.islrn.org/resources/849-157-479-216-3> A comprehensive full-form lexicon of Hijazi Arabic general vocabulary (DiaLEX-HA) including 21 million entries for 30,000 lemmas with all inflected forms, enclitics, proclitics, case endings, declensions, and conjugated forms. Each entry is accompanied by a full and accurate diacriticization (vocalization) as well as an extensive coverage of variants. The lexicon is ideally suited to support natural language processing applications for Hijazi Arabic, especially morphological analysis and speech technology. Quantity and size: 20,247,655 lines / 2,835 MB (2.8 GB) For more information on the catalogue or if you would like to enquire about having your resources distributed by ELRA, please contact us <mailto:contact@elda.org>. _________________________________________ Visit the ELRA Catalogue of Language Resources <http://catalog.elra.info> Visit the Universal Catalogue <http://universal.elra.info> Archives <http://www.elra.info/en/catalogues/language-resources-announcements> of ELRA Language Resources Catalogue Updates

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Announcement: Release of BabelNet 5.3
by Roberto Navigli 07 Dec '23

07 Dec '23

Release of BabelNet 5.3 https://babelnet.org We are proud to announce the release of a new version of BabelNet <https://babelnet.org/> and its programmatic *Java and Python API*, developed jointly by the Sapienza NLP Group <http://nlp.uniroma1.it> of *Sapienza University of Rome* under the supervision of prof. Roberto Navigli <https://www.diag.uniroma1.it/navigli/> and Babelscape <http://babelscape.com/>, *a deep-tech multilingual NLP company* providing innovative solutions for natural language understanding. BabelNet -- winner of the *prominent paper award 2017* from the Artificial Intelligence Journal and the META prize 2015, and covered in media such as The Guardian <https://www.theguardian.com/news/2018/feb/23/oxford-english-dictionary-can-…> and Time Magazine <http://wwwusers.di.uniroma1.it/~navigli/img/Redefining_the_modern_dictionar…> -- is today's *most far-reaching multilingual lexical-semantic knowledge graph* which, according to need, can be used as an *encyclopedic dictionary*, or a *semantic network* or a huge *knowledge base/ontology* e.g. to be integrated into *deep learning solutions*. It has been used by more than *1000 universities and research institutions*, enabling multilinguality in several fields of AI and NLP, such as multilingual semantic search, Word Sense Disambiguation and Entity Linking, Semantic Role Labeling, image tagging and semantically-enhanced multimodality. BabelNet was created by means of the seamless integration and interlinking of the largest multilingual Web encyclopedia - i.e., Wikipedia - with the most popular computational lexicon of English - i.e., WordNet, and other lexical-semantic resources such as Wikidata, Wiktionary, OmegaWiki, dozens of wordnets (including Open English WordNet), GeoNames, and ImageNet. The BabelNet model is centered around *multilingual synsets*, i.e., concepts and named entities lexicalized in many languages, and connected with large amounts of semantic relations. *Version 5.3* ships with the following features: - *80 new languages* for a grand total of *600 languages*; - *23 million synsets* covered; - *Lemma casing updated in 24 languages*; - *Wikipedia and Wikidata updated* thanks to BabelNet live (November 2023 dump); - *Open English WordNet* has been updated to version 2023; - *Images* associated with synsets have been updated; - *Wiktionary* has been *updated* and *20k new concepts* have been integrated (November 2023 dump); - *Significantly improved cross-lingual resource mapping*, ensuring more accurate and contextually relevant lexicalizations and translations; - *General data cleanup* (glosses, senses, Named Entity vs. Concept labels); - *Wikipedia multilingual labels updated.* More statistics are available at: babelnet.org/statistics. Kind regards, The BabelNet group -- ============================================== Roberto Navigli* - Professor* Department of Computer, Control and Management Engineering Sapienza University of Rome Via Ariosto, 25 00185 Roma Italy Phone: +39 06 77274109 Home Page: https://www.diag.uniroma1.it/navigli/ Sapienza NLP Group: http://nlp.uniroma1.it Co-founder of Babelscape <https://babelscape.com> ==============================================

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Third CFP-Fourth Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI-2024) at EACL 2024-reg
by Bharathi Raja Asoka Chakravarthi 06 Dec '23

06 Dec '23

Apologies for cross posting *Fourth Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI-2024) at EACL 2024* *Website link: https://sites.google.com/view/lt-edi-2024/ <https://sites.google.com/view/lt-edi-2024/>* Equality, Diversity and Inclusion (EDI) is an important agenda across every field throughout the world. Language as a major part of communication should be inclusive and treat everyone with equality. Today’s large internet community uses language technology (LT) and has a direct impact on people across the globe. EDI is crucial to ensure everyone is valued and included, so it is necessary to build LT that serves this purpose. Recent results have shown that big data and deep learning are entrenching existing biases and that some algorithms are even naturally biased due to problems such as ‘regression to the mode’. Our focus is on creating LT that will be more inclusive of gender, racial, sexual orientation, persons with disability. The workshop will focus on creating speech and language technology to address EDI not only in English, but also in less resourced languages. The broader objective of LT-EDI-2024 will be - To investigate challenges related to speech and language resource creation for EDI. - To promote research in inclusive LT. - To adopt and adapt appropriate LT models to suit EDI. - To provide opportunities for researchers from the LT community around the world to collaborate with other researchers to identify and propose possible solutions for the challenges of EDI. Our workshop theme focuses on being more inclusive and providing a platform for researchers to create LT of a more inclusive nature. We hope that through these engagements we can develop LT tools to be more inclusive of everyone, including marginalized people. *Call for Papers:* Our main theme in this workshop is equality, diversity, and inclusivity in LT. We invite researchers and practitioners to submit papers reporting on these issues and datasets to avoid these issues. We also encourage qualitative studies related to these issues and how to avoid them. LT-EDI- 2024 welcomes theoretical and practical paper submissions on any languages that contribute to research in Equality, Diversity and Inclusion. We will particularly encourage studies that address either practical application or improving resources. *Topics of interest include, but are not limited to:* - Data set development to include EDI - Gender inclusivity in LT - LGBTQ+ inclusivity in LT - Racial inclusivity in LT - Persons with disability inclusivity in LT - Speech and language recognition for minority groups - Unconscious bias and how to avoid them in natural language processing, machine learning and other LT technologies. - Tackling rumours and fake news about gender, racial, and LGBTQ+ minorities. - Tackling discrimination against gender, racial, and LGBTQ+ minorities. Submissions: At LTEDI we accept the following submission types: - Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to 8 pages of content, plus unlimited pages for references and appendices. Upon acceptance, long papers will be given one additional page of content (i.e. up to 9 pages) in the proceedings so that reviewers’ comments can be taken into account. - Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages. Short papers may consist of up to 4 pages of content, plus unlimited references and appendices. Upon acceptance, short papers will be given one additional page of content (i.e. up to 5 pages) in the proceedings so that reviewers’ comments can be taken into account. - Poster and demo submissions should be no longer than 4 pages (plus unlimited number of pages for references and ethics/broader impact statement). More information on submission can be found at https://sites.google.com/view/lt-edi-2024/submission For electronic submission of all papers, please use: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/LTEDI *Important Dates* - Workshop paper due: December 12, 2023 - Direct Submission deadline (pre-reviewed ARR & main conference) January 17, 2024 - Notification of acceptance: January 15, 2024 - Camera-ready papers due: January 25 2024 - Workshop dates: March 21-22, 2024 with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://www.universityofgalway.ie/our-research/people/computer-science/bhar… <https://www.universityofgalway.ie/our-research/people/computer-science/bhar…>

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ILLC-NLP 2024 - First Workshop on NLP for Indigenous Languages of Lusophone Countries
by Aline Paes 06 Dec '23

06 Dec '23

With great enthusiasm, we announce the first edition of the *Natural Language Processing (NLP) Workshop for Indigenous Languages of Lusophone Countries*. The workshop aims to explore, discuss, and enhance the development of resources, methods, and applications of NLP for indigenous languages, especially those spoken or that have influenced languages spoken in countries where Portuguese is currently the official language. We hope to contribute to the preservation and promotion of these languages. The workshop will be held in conjunction with PROPOR 2024. *Workshop Date: 13 or 14 March 2024, in Santiago de Compostela.* *Paper Submission: 5 January 2024 AoE.* *More information: *https://sites.google.com/view/illc-nlp-2024/home This event aims to expand knowledge and research in NLP for underrepresented languages. We encourage the participation of everyone who shares an interest in preserving and enriching the linguistic and cultural heritage of indigenous languages in a broad sense. This way, we welcome the submission of works including languages from all Portuguese-speaking nations, like those of African origin in Angola, Mozambique, and the Atlantic islands, as well as minority languages in Portugal. Please help us spread the word about this event by sharing this call with your contacts and institutions. Your participation and support are crucial for the success of this workshop. We are excited to see your contributions and active participation. Sincerely, Aline Paes, Aline Villavicencio, Claudio Pinhanez, Edward Gow-Smith, Paulo Rodrigo Cavalin (Workshop organisers) ------------------------------------------------------------------------------------------------- *Profa. Dra. Aline Paes (she/her)* *Associate professor - Computer Science (Artificial Intelligence)* Institute of Computing / Universidade Federal Fluminense (IC/UFF) Member of CE-PLN <https://sites.google.com/view/ce-pln/inicio> and BPLN <https://brasileiraspln.com/> CNPq PQ-2 and FAPERJ JCNE __________________________________________________________ url: www.ic.uff.br/~alinepaes Av Gal Milton Tavares de Souza, S/N, Computing Building, Office 504 São Domingos, Niterói, RJ, Brazil. ZIP 24210-346 ------------------------------------------------------------------------------------------------- ****Please do not feel any pressure to respond out of your own regular working hours. Remember that this is supposed to be an asynchronous tool***

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Comparable CLASSLA web corpora of South Slavic languages
by Taja Kuzman 06 Dec '23

06 Dec '23

** *Dear all,* ***The CLASSLA Knowledge centre for South Slavic languages <https://www.clarin.si/info/k-centre/>is delighted to announce the release of comparable web corpora for all official South Slavic languages, namely Slovenian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_sl>(1.8 billion words), Croatian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_hr>(2.2 billion words), Bosnian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_bs>(802 million words), Montenegrin <https://www.clarin.si/ske/#concordance?corpname=classlaweb_cnr>(151 million words), Serbian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_sr>(2.3 billion words), Macedonian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_mk>(479 million words) and Bulgarian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_bg>(3.3 billion words), all these corpora summing up to almost 11 billion words! The linguistic annotation was performed with the state-of-the-art CLASSLA-Stanza <https://pypi.org/project/classla/>toolkit, which you can now try out also through the CLASSLA annotator web interface <https://clarin.si/oznacevalnik/eng>! Additionally, each of the 26 million documents in these seven corpora is annotated with the X-GENRE multilingual genre classifier <https://huggingface.co/classla/xlm-roberta-base-multilingual-text-genre-cla…>, enabling creation of subcorpora based on genre information. Interestingly, while the corpora were developed with the same pipeline, the genre distribution across corpora is rather varying. If you are interested in more details on the sizes, genre distributions and additional insights, we warmly invite you to read our blog post <https://www.clarin.si/info/k-centre/comparable-classla-web-corpora-of-south…>.* **** Best regards, Nikola Ljubešić, Taja Kuzman and many other CLASSLAers

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36th International Conference on Advanced Information Systems Engineering
by Announce 06 Dec '23

06 Dec '23

*** First Call for Workshop Papers *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: 26th February, 2024 AoE ***) CAiSE is a well-established, highly visible conference series on Advanced Information Systems (IS) Engineering. It covers all relevant topics in the area, including methodologies and approaches for IS engineering, innovative platforms, architectures and technologies, and engineering of specific kinds of IS. CAiSE conferences also have the tradition of hosting workshops in related fields. Workshops are intended to focus on particular topics and provide ample room for discussions of new ideas and developments. CAiSE'24, the 36th edition of the CAiSE series, will host the following workshops. For more information including important dates for each workshop, please visit the workshops' web sites. CAiSE'24 Workshops • 3rd International Workshop on Agile Methods for Information Systems Engineering (Agil-ISE) https://agilise.github.io/2024/index.html • International Workshop on Blockchain for Information Systems (BC4IS24) and Blockchain for Trusted Data Sharing (B4TDS) https://pros.unicam.it/bc4isb4tds/ • 2nd International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems (HybridAIMS) https://hybridaims.com/ • 2nd Workshop on Knowledge Graphs for Semantics-driven Systems Engineering https://www.omilab.org/activities/events/caise2024_kg4sdse/ • 16th International Workshop on Enterprise & Organizational Modeling and Simulation (EOMAS 2024) https://eomas2024.fel.cvut.cz/ • Digital Transformation with Business Process Mining (DigPro2024) https://digpro.iiita.ac.in/ IMPORTANT DATES • Paper Submission Deadline: 26th February, 2024 (AoE) • Notification of Acceptance: 27th March, 2024 • Camera-ready Deadline: 5th April, 2024 • Author Registration Deadline: 5th April, 2024 Workshop Chairs • João Paulo A. Almeida, Federal University of Espírito Santo, Brazil • Claudio di Ciccio, Sapienza University of Rome, Italy • Christos Kalloniatis, University of the Aegean, Greece

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5th HPLT & NLPL Winter School on Large Language Models: Creation, Customization, Evaluation, and Use
by Stephan Oepen 05 Dec '23

05 Dec '23

Dear colleagues: We invite participants to a three-day winter school on large-scale neural NLP research – with special emphasis on language modeling for non-English languages – using massive Web data. The school will provide lectures and space for discussion by, among others, Afra Alishahi (Tilburg University), Desmond Elliot (University of Copenhagen), Aurélie Névéol (LISN, CNRS), and a few more international experts. The winter school is organized as a collaboration between the Horizon Europe project High-Performance Language Technologies (HPLT) and the Nordic Language Processing Laboratory (NLPL). The event will be held ‘in real life’ on February 4–6, 2024, in Norway. For additional information, please see: http://wiki.nlpl.eu/Community/training There is no participant fee for the winter school, and HPLT will provide free bus transfer between the Oslo airport and the conference hotel (about two hours north of Oslo, with skiing facilities just outside the door). Participants will need to cover their own travel to Oslo and accommodation at the hotel (NOK 3745 for two nights in a single room, including all meals and conference facilities). We kindly invite expressions of interest in participation in the winter school. Please register through the on-line form linked up from the above overview page. We will process requests for participation on a first-come, first-served basis, with an eye toward regional balance. Participation will be confirmed in three batches, one on December 8, another one on December 15, and finally after the closing date for registration, which is Thursday, December 22, 2023. Welcome to Skeikampen in February 2024! Andrey Kutuzov & Stephan Oepen (for the organizing team)

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21st International Conference on Software and Systems Reuse (ICSR 2024): Third Call for Papers
by Announce 05 Dec '23

05 Dec '23

*** Third Call for Papers *** 21st International Conference on Software and Systems Reuse (ICSR 2024) June 10-12, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/icsr2024/ (*** Submission Deadline: 12th February, 2024 AoE ***) The International Conference on Software and Systems Reuse (ICSR) is a biannual conference in the field of software reuse research and technology. ICSR is a premier event aiming to present the most recent advances and breakthroughs in the area of software reuse and to promote an intensive and continuous exchange among researchers and practitioners. The guiding theme of this edition is Sustainable Software Reuse. We invite submissions on new and innovative research results and industrial experience reports dealing with all aspects of software reuse within the context of the modern software development landscape. Topics include but are not limited to the following. 1 Technical aspects of reuse, including • Reuse in/for Quality Assurance (QA) techniques, testing, verification, etc. • Domain ontologies and Model-Driven Development • Variability management and software product lines • Context-aware and Dynamic Reuse • Reuse in and for Machine Learning • Domain-specific languages (DSLs) • New language abstractions for software reuse • Generative Development • COTS-based development and reuse of open source assets • Retrieval and recommendation of reusable assets • Reuse of non-code artefacts • Architecture-centric reuse approaches • Service-oriented architectures and microservices • Software composition and modularization • Sustainability and software reuse • Economic models of reuse • Benefit and risk analysis, scoping • Legal and managerial aspects of reuse • Reuse adoption and transition to software reuse • Lightweight reuse approaches • Reuse in agile projects • Technical debt and software reuse 2 Software reuse in industry and in emerging domains • Reuse success stories • Reuse failures, and lessons learned • Reuse obstacles and success factors • Return on Investment (ROI) studies • Reuse in hot topic domains (Artificial Intelligence, Internet of Things, Virtualization, Network functions, Quantum Computing, etc.) We welcome research (16 pages) and industry papers (12 pages) following the Springer Lecture Notes in Computer Science format. Submissions will be handled via EasyChair (https://easychair.org/my/conference?conf=icsr2024). Submissions will be **double-blindly** reviewed, meaning that authors should: • Omit all authors’ names and affiliations from the title page • Do not include the acknowledgement section, if you have any, in the submitted paper • Refer to your own work in the third person • Use anonymous GitHub, Zenondo, FigShare or equivalent to provide access to artefacts without disclosing your identity Both research and industry papers will be reviewed by members of the same program committee (check the website for details). Proceedings will be published by Springer in their Lecture Notes for Computer Science (LNCS) series. An award will be given to the best research and the best industry papers. The authors of selected papers from the conference will be invited to submit an extended version (containing at least 30% new material) to a special issue in the Journal of Systems and Software (Elsevier). More details will follow. IMPORTANT DATES • Abstract submission: February 12, 2024, AoE • Full paper submission: February 19, 2024, AoE • Notification: April 8, 2024, AoE • Camera Ready: April 15, 2024, AoE • Author Registration: April 15, 2024 AoE ORGANISATION Steering Committee • Eduardo Almeida, Federal University of Bahia, Brazil • Goetz Botterweck, Lero, University of Limerick, Ireland • Rafael Capilla, Rey Juan Carlos University, Spain • John Favaro, Trust-IT, Italy • William B. Frakes, IEEE TCSE committee on software reuse, USA • Martin L. Griss, Carnegie Mellon University, USA • Oliver Hummel, University of Applied Sciences, Germany • Hafedh Mili, Université du Québec à Montréal, Canada • Nan Niu, University of Cincinnati, USA • George Angelos Papadopoulos, University of Cyprus, Cyprus • Claudia M.L. Werner, Federal University of Rio de Janeiro, Brazil General Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Co-Chairs • Achilleas Achilleos, Frederick University, Cyprus • Lidia Fuentes, University of Malaga, Spain

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Postdoctoral position in NLP at the University of Edinburgh
by Mirella Lapata 05 Dec '23

05 Dec '23

The School of Informatics, University of Edinburgh invites applications for a Research Associate position in natural language processing and machine learning. The research project is flexible; the areas of interest include, among others, multimodal natural language understanding and generation, long-form and retrieval-augmented text generation, semantic parsing, and addressing general limitations of modern NLP methods (e.g., improving generalization and interpretability). The postdoctoral researcher will be supervised by Mirella Lapata<https://homepages.inf.ed.ac.uk/mlap/> and funded by UKRI (the UK Research and Innovation National funding agency) and will join the Edinburgh NLP group (https://edinburghnlp.inf.ed.ac.uk/), one of the largest and most active NLP research groups in the world (see http://csrankings.org/#/index?nlp&world <http://csrankings.org/#/index?nlp&world> ). There are many collaborative opportunities, both within the NLP group as well as across the School of Informatics (which includes faculty working on machine learning, computer vision, speech processing, and social computing). Knowledge, skills and experience: - Ph.D. degree (or about to obtain one) - A strong background in AI, machine learning and/or natural language processing - Publications at top venues in NLP or/and ML - Strong programming skills - Experience with modern deep learning frameworks (e.g., PyTorch) - Strong communication, presentation, and writing skills, and excellent command of English Employment conditions: Grade 7, salary range: £37,099 - £44,263 Full time, Fixed term, 24 months Application deadline: 04/01/2024, 17:00 (UK time) For informal enquiries please contact: Mirella Lapata<https://homepages.inf.ed.ac.uk/mlap/> Please ensure a CV and supporting statement is provided in your application. The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. More information: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1… The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th' ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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[CfP] The Sixth International and Interdisciplinary Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT) will be held in Amsterdam, the Netherlands, on 2-4 May 2024.
by Johannes B. Gruber 05 Dec '23

05 Dec '23

Dear colleagues, COMPTEXT is an international community of quantitative text analysis and computational social science scholars in political science, international relations and beyond. COMPTEXT 2024 in Amsterdam follows in the footsteps of previous conferences in Budapest (2018), Tokyo (2019) and Innsbruck (online, 2020), Dublin (2022), and Glasgow (2023). COMPTEXT conferences offer ample opportunities to network with computational scholars, to exchange technological knowledge of computational methods, and to obtain useful feedback on ongoing research. For COMPTEXT 2024 in Amsterdam we are seeking paper submissions that: - rely on image, video, text or other digital trace data to study social and political phenomena broadly construed - propose or evaluate new computational methods or tools - seek to make contributions at the intersection of social science and computer science We accept both substantive and methodological papers for presentation: substantive papers may be on any studies in social sciences or humanities that utilize computational methods; methodological papers may describe new computational methods, tools and approaches. Note that conference proceeding will not be published, as the conference format follows social science practices. In keeping with our tradition, ahead of the conference a series of methods training tutorials will be held for registered participants. Courses will be offered for both beginner and advanced level participants. *Submission of Paper Abstracts:* Abstracts of max. 250 words and three substantive and/or methods-related keywords, should be submitted by *Wednesday 20 December 2023*. Notifications of acceptance will be sent by *16 February, 2024*. The registration deadline is *15 March, 2024*. Please submit your paper at https://forms.gle/VrzhEzJEcTNdM3RN9 Please be advised that a conference fee will be charged for participants with accepted papers. The COMPTEXT 2024 Organising Committee consists of: - Mariken A.C.G. van der Velden (Vrije Universiteit Amsterdam) - Roan Buma (Vrije Universiteit Amsterdam) - Alona O. Dolinsky (Vrije Universiteit Amsterdam) - Johannes Gruber (Universiteit van Amsterdam) - Kasper Welbers (Vrije Universiteit Amsterdam) - Miklós Sebők (Centre for Social Sciences, Budapest) *Equality, Diversion, and Inclusion:* COMPTEXT is committed to creating an inclusive conference where diversity is celebrated, and everyone is afforded equality of opportunity. We welcome applications from everyone, including those who identify with any of the protected characteristics that are set out in VU’s Equality, Diversity and Inclusion policy (https://vu.nl/en/about-vu/more-about/diversity). We especially encourage scholars from traditionally underrepresented groups, female scholars, and early-career researchers to apply. For more information, please visit our website: http://www.comptextconference.org/ Questions related to COMPTEXT Amsterdam 2024 should be directed to comptext2024(a)gmail.com. Best regards, The Organizers

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ECAI-2024: Call for Papers, Tutorial Proposals and Workshop Proposals
by luis.magdalena＠gmail.com 05 Dec '23

05 Dec '23

The 27th European Conference on Artificial Intelligence (ECAI-2024) will be held in the beautiful city of Santiago de Compostela during 19-24 October 2024. Join us to mark the 50th birthday since the first AI conference was held in Europe back in 1974. We invite all members of the international AI research community to submit their best work to ECAI. We furthermore invite proposals for workshops and tutorials to be held during the first two days of the conference. Proposals from all subfields of AI, and organisers and presenters of all levels of seniority are welcome. The deadlines are as follows: Workshop proposals: Monday, 15 January 2024 Tutorial proposals: Thursday, 15 February 2024 Papers: Thursday, 25 April 2024 (abstract deadline one week earlier) Demos: Thursday, 9 May 2024 Consult the ECAI-2024 website for the full Calls: Call for Workshop Proposals: https://www.ecai2024.eu/calls/workshops Call for Tutorial Proposals: https://www.ecai2024.eu/calls/tutorials Call for Papers: https://www.ecai2024.eu/calls/main-track Call for Demos: https://www.ecai2024.eu/calls/demos Calls for the Doctoral Consortium and our sister conference on Prestigious Applications of Intelligent Systems (PAIS) will get published soon, so please stay tuned. -- Luis Magdalena Publicity Chair of the European Conference on Artificial Intelligence (ECAI-2024)

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Edge Hill Corpus Research Group, 14 December 2023
by Costas Gabrielatos 05 Dec '23

05 Dec '23

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Thursday 14 December 2023, 2:00-3:30 pm (UK time). Topics: Discourse-Oriented Corpus Studies, Collocation Networks Speakers: Dan Malone<https://independent.academia.edu/DanielMalone14> (Edge Hill University, UK) & Hanna Schmück<https://hannaschmueck.github.io/> (Lancaster University, UK) Title: A pack of lone wolves? Exploring the nexus between the lone-wolf terrorist, Al-Qaeda, and ISIS in the British Press Registration (free) closes on Tuesday 13 December, 1pm. You can register here: https://store.edgehill.ac.uk/conferences-and-events/faculty-of-arts-and-sci… Abstract Following recent events in Belgium and Israel, the lone-wolf terrorist re-emerged in media reportage, with President Joe Biden<https://edition.cnn.com/2011/09/11/tv/biden-does-not-rule-out-possibility-o…> and former GCHQ Director Sir David Omand<https://inews.co.uk/news/uk-facing-heightened-threat-from-lone-wolf-terror-…> expressing concerns over potential attacks in the USA and UK. Days later, Belgian Prime Minister Alexander De Croo described the neutralised Brussels shooter as "probably a lone wolf,"<https://www.theguardian.com/world/2023/oct/17/killing-of-two-swedes-in-brus…> thus aiming to downplay the risk of subsequent incidents. Together, these instances exemplify that by shaping a "reality" (Entman, 2004), (in)security discourses can amplify or downplay a terrorist threat, in turn reflecting and/or influencing public perception and potentially guiding policy responses. Historically, the lone wolf has been associated with different movements, ranging from the propaganda of the deed in the 19th Century to the leaderless resistance of white-supremacist groups in the 1980s and 90s. More recently, it is within the domain of Islamist terrorism, often dominated by Al-Qaeda and ISIS, where the lone wolf has become increasingly associated, especially in the British press. In this joint presentation, we discuss the analytical approaches and results from our analysis of discourses surrounding the lone-wolf terrorist, al Qaeda, and ISIS in three diachronic sub-corpora of the Lone Wolf Corpus (Malone, 2020), a compilation of British Press articles from 2000 to 2019. In a unique methodological combination, we employed large-scale collocation networks and topical clustering to examine shifting discourses through collocational clusters, and applied a corpus-based critical discourse analysis to examine representations of the Al-Qaeda-ISIS nexus. Hanna introduces the methodology employed to generate topical clusters and discusses collocational changes and constants in emerging discourses surrounding the lone-wolf terrorist. The resulting patterns present a discursive shift from clusters related to causative factors (e.g., a mental health subcluster), towards the internationalisation and institutionalisation of lone-wolf terrorism, and finally to response management in the form of sentencing and punitive actions (e.g., a court proceedings/prison subcluster). Reporting on his corpus-based critical discourse analysis, Daniel presents the emergent representations surrounding co-occurrences of the node AL QAEDA with ISIS. These discourses were categorised into four modes of representation of presented relationship-types: Convergence, Association, Dissociation, and Divergence. These modes contributed to surrounding (in)security discourses that at times equate, promote and/or relegate different entities in a continual reshuffling of the threat hierarchy; a process termed here enmity reimagining. References Entman, R. (2004). Projections of Power: Framing News, Public Opinion, and U.S. Foreign Policy. The University of Chicago Press: London. Malone, D. (2020). Developing a complex query to build a specialised corpus: Reducing the issue of polysemous query terms. Corpora and Discourse International Conference 2020. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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New online language resource: coanzse.org
by Steven Coats 05 Dec '23

05 Dec '23

To:corpora@list.elra.info Tue 1/3/2023 9:38 PM Dear Corpora list subscribers, I'm pleased to announce the availability of CoANZSE Audio v0.2, the searchable online version of the Corpus of Australian and New Zealand Spoken English. The resource provides access to 195.5m words of part-of-speech-tagged transcripts from 478 Australian and New Zealand locations, as well as to over 18 million FLAC audio and forced alignment files in Praat's TextGrid format. Access to the corpus is freely available for research and educational purposes at https://coanzse.org<https://coanzse.org/> via login through CLARIN/eduGAIN-affiliated service providers or a clarin.eu account. With kind regards, Steven Coats University Lecturer English, Faculty of Humanities University of Oulu P.O. Box 8000, FI-90014 University of Oulu Finland https://cc.oulu.fi/~scoats

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CfP: Special issue of the TAL journal: Scholarly Document Processing
by Florian Boudin 05 Dec '23

05 Dec '23

Special issue of the TAL journal: Scholarly Document Processing https://tal-65-2.sciencesconf.org/ ** Deadline for submission: March, 15th 2024 ** ** Guest Editors ** Florian Boudin, JFLI/LS2N, Nantes University Akiko Aizawa, National Institute of Informatics ** Context ** The body of scholarly literature is steadily and rapidly expanding. In arXiv alone, the number of scientific articles submitted in 2022 exceeded 185,000, averaging nearly 500 submissions per day. In the face of this exponential growth, researchers and institutions are continually challenged to keep pace with the sheer volume of new knowledge being created. Automated methods for analyzing and interpreting scientific papers are therefore urgently needed to assist researchers in navigating through the expanding volume of scientific information, enabling more efficient and targeted acquisition of new knowledge across various fields. More precisely, the development of methods capable of extracting reliable, valuable and verifiable information from scientific papers is crucial for many downstream tasks including retrieval, recommendation, summarization, question-answering and document understanding. The uniqueness of scientific papers, marked by intricate technical language, discipline-specific terminology, a distinct structural organization and the inclusion of complex elements such as equations, tables, and figures, poses a significant challenge for existing natural language processing and information retrieval methods. Furthermore, these methods should also account for additional features provided at the collection level (e.g., citation networks) or embedded in rich paper metadata (e.g., authors, keywords, publication venues), each introducing its own set of challenges. This special issue of the TAL journal is dedicated to papers describing work that address these challenges, and more broadly to papers describing research on *natural language processing and information retrieval of scholarly and scientific documents*. Relevant topics for this issue include, but are not limited to, the following areas (in alphabetical order): - Bibliometrics, scientometrics - Citation analysis and recommendation - Claim verification - Datasets, tools and resources - Information extraction, NER - Large Language Models (LLMs) - Plagiarism detection - Question-answering - Retrieval and recommendation - Scientific document analysis - Scientific writing assistance - Text simplification - Summarization and generation ** Important dates ** • Submission deadline: 15 March 2024 • Notification to the authors after first review: May 2024 • Notification to the authors after second review: September 2024 • Publication : December 2024 ** Submission format ** The length of the papers must be between 20 and 25 pages. Style sheets are available on the journal's website ([https://www.atala.org/content/instruction-authors-style-files-0](https://ww…). Authors are invited to submit their paper on this platform: [https://tal-65-2.sciencesconf.org/](https://tal-65-2.sciencesconf.org/) To do so, authors will need to first create an account by clicking on "Create account" (Créer un compte) next to the “Login" (Connexion) button at the top of this page. To submit a paper, authors can connect to their account and upload their submission in "My Space" > "My submissions”. The articles can be written in English or in French. The TAL journal has a double-blind review process. It is necessary to anonymize the article, the name of the file, and to avoid self-references. Each article is evaluated by three reviewers, two external reviewers and a member of the editorial board of the journal TAL. ** TAL Journal ** TAL (Traitement Automatique des Langues / Natural Language Processing) is an international journal published by ATALA (French Association for Natural Language Processing, [http://www.atala.org](http://www.atala.org)) since 1959 with the support of CNRS (National Centre for Scientific Research). It has moved to an electronic mode of publication, with printing on demand. The TAL journal is open-access. Paper submission, publication and access are free of charge. Papers published in the TAL journal will be made available on the ATALA website and on ACL Anthology.

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PhD opportunity at King's College London
by Barbara McGillivray 04 Dec '23

04 Dec '23

(Apologies for cross-posting) A fully funded PhD position is now available at King’s College London on the project “‘Lost for words’: semantic search in the Find Case Law service of The National Archives”, a Collaborative Doctoral Award received by King’s College London in collaboration with The National Archives and funded by the London Arts & Humanities Partnership (LAHP). This interdisciplinary project is an exciting opportunity to work in natural language processing (particularly computational semantics and information retrieval) applied to legal texts and digital humanities. About the project: Access to case law is vital for safeguarding the constitutional right of access to justice. It enables members of the public to understand their position when facing litigation and to scrutinise court judgements. Since April 2022, UK court and tribunal decisions are preserved by The National Archives’ Find Case Law service as freely accessible online public records. This project seeks to improve Find Case Law by enhancing it with meaning-sensitive (semantic) search functionality. It will study how individuals without legal training use language to navigate court judgments and it will develop tools to facilitate this navigation. In most digital cultural heritage catalogues, while we can search for words within the metadata describing their records, we cannot search for records based on the meaning of words contained within these records, for example the different words to refer to “knife crime”. Therefore, users’ access to collection is determined by their ability to articulate their information need precisely. Recent advances in natural language processing unlock new possibilities for querying documents via state-of-the-art semantic search. Incorporating such search capabilities in the Find Case Law collection is crucial for democratising access to digital collections, helping expose the social impact of how the law is written. Skills required  Essential:   · Experience with Natural Language Processing research and applied work, including developing new tools.   · Interest in working with UK case law for improving access to justice  Desirable:   · Background in law or legal research.  · Experience working with digital archives   · Knowledge of User experience (UX) research   · Knowledge of lexical semantics.   · Experience with semantic search.   · Experience with NLP applied to legal texts.     About application process: Applicants will need to submit an application for a PhD in Digital Humanities at King’s (https://tinyurl.com/ycxekhzv ) and an application for the LAHP (https://www.lahp.ac.uk/prospective-students/collaborative-doctoral-awards-p…). Both applications need to be submitted by 26 January 2024 at 5pm. Application Deadline: 26-Jan-2024 Web Address for Applications: https://lahp.flexigrant.com/login.aspx?ReturnUrl=https%3a%2f%2flahp.flexigr… For queries specific to the project, please contact the project’s lead supervisor Barbara McGillivray on barbara.mcgillivray(a)kcl.ac.uk<mailto:barbara.mcgillivray@kcl.ac.uk>   Barbara McGillivray | @BarbaraMcGilli<https://twitter.com/BarbaraMcGilli> Lecturer in Digital Humanities and Cultural Computation and lead of MA programme in Digital Humanities Group lead of the Computational Humanities Research Group<https://www.kcl.ac.uk/research/computational-humanities-research-group> Room 3.28, Department of Digital Humanities, King’s College London, Strand Campus, Strand, London, WC2R 2LS Group lead of the Computational Humanities Research Group at King’s College London<https://www.kcl.ac.uk/research/computational-humanities-research-group> Turing Fellow<https://www.turing.ac.uk/people/researchers/barbara-mcgillivray>, The Alan Turing Institute Editor-in-chief of Journal of Open Humanities Data<https://openhumanitiesdata.metajnl.com/>

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The Anthony C. Clarke Award for the 2023 EAMT Best Thesis: Call for Thesis
by Carol Scarton 04 Dec '23

04 Dec '23

******************************************************* The Anthony C. Clarke Award for the 2023 EAMT Best Thesis Deadline: 08/02/2024 Notification: 08/03/2024 Website: https://eamt.org/2023/12/03/the-anthony-c-clarke-award-for-the-2023-eamt-be… ******************************************************* The European Association for Machine Translation (EAMT, http://www.eamt.org) is an organization that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology. The EAMT invites entries for its twelfth EAMT Best Thesis Award for a PhD or equivalent thesis on a topic related to machine translation. Previous year winners can be found at https://eamt.org/best-thesis-award/. ** Eligibility ** Researchers who - have completed a PhD (or equivalent) thesis on a relevant topic in a European, African or Middle Eastern institution within calendar year 2023, - have not previously won another international award for that thesis, and, - are members of the EAMT at the time of submission, are invited to submit their theses to the EAMT for consideration. ** Panel ** The submissions will be judged by a panel of experts who will be specifically appointed, based on the EAMT 2024 program committee, and which will be ratified by the Executive Board of the EAMT. ** Selection criteria ** Each thesis will be judged according to how challenging the problem was, to how relevant the results are for machine translation as a field, and to the strength of their impact in terms of scientific publications. ** Scope ** The scope of the thesis does not need to be confined to a technical area, and applications are also invited from students who carried out their research into commercial and management aspects of machine translation. Possible areas of research include: - development of machine translation or advanced computer-assisted translation: methods, software or resources - machine translation for less-resourced languages - the use of these systems in professional environments (freelance translators, translation agencies, localisation, etc.) - the increasing impact of machine translation on non-professional Internet users and its impact in communications, social networking, etc. - spoken language translation - the integration of machine translation and translation memory systems - the integration of machine translation software in larger IT applications - the evaluation of machine translation systems in real tasks such as those above - the cross-fertilisation between machine translation and other language technologies ** Prize ** The winner will be announced on the 8th of March 2024 and will receive a prize of €500, together with an inscribed certificate. The recipient of the award will be required to briefly present their research at EAMT 2024 to be held from 24th June to 27th June 2024 in Sheffield, UK ( https://eamt2024.sheffield.ac.uk/). In order to facilitate this, the EAMT will waive the winner's registration costs, and will make available a travel bursary of €200 to enable the recipient of the award to attend the said conference. The prize includes complimentary membership in the EAMT for 2025. ** Submission ** Candidates will submit, using OpenReview ( https://openreview.net/group?id=EAMT.org/2024/Thesis_Award) a single PDF file containing: - a 2-page summary of your thesis in English, containing: ---- your full contact details, ---- the name and contact details of your supervisor(s), ---- the main aspects of your work, namely goal/objectives, methodology and results. - a copy of your CV in English (at most one page, plus a complete list of publications directly related to the thesis) - an electronic copy of your thesis - optionally, an appendix with any other relevant information on the thesis By submitting their work, authors - agree that, in case they are granted the award, any subsequently published version of the thesis should carry the citation "The Anthony C. Clarke Award for the 2023 EAMT Best Thesis" and - acknowledge the right of the EAMT to publicize the granting of the award. For this year's Best Thesis Award we are requiring candidates to be an individual EAMT member at the time of submission. For EAMT memberships, please visit: https://eamt.org/101-2/. ** Closing date ** Submission deadline: February 8, 2024, 23:59 CEST. Award notification: March 8, 2024. -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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EAMT 2024: 1st Call for Workshop Proposals
by Carol Scarton 04 Dec '23

04 Dec '23

******************************************************* EAMT 2024: The 25th Annual Conference of The European Association for Machine Translation 24 - 27 June 2024 Sheffield, UK https://eamt2024.sheffield.ac.uk/ @eamt2024 (X account) Workshop proposal deadline: 31 January 2024 Workshop date: 27 June 2024 More information: https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers ******************************************************* *** Overview *** The European Association for Machine Translation (EAMT) invites proposals for workshops to be held in conjunction with the EAMT 2024 conference taking place in Sheffield, UK, from 24 to 27 June 2024, with workshops held on 27 June. We solicit proposals in all areas of machine translation. EAMT workshops are intended to provide the opportunity for MT-related communities of interest to spend focused time together advancing the state of thinking or the state of practice in their area of interest or endeavour. Workshops are generally scheduled as full-day events. Every effort will be made to accept or reject (with reason) workshop proposals as soon as possible after they are received by the organising committee so that the workshop organisers have adequate time to prepare the workshop. *** Submission information *** Proposals should be submitted as PDF documents. Note that submissions should be ready to be turned into a Call for Papers to the workshop within one week of notification. The proposals should be at most two pages for the main proposal and at most two additional pages for information about the organisers, programme committee, and references. Thus, the whole proposal should not be more than four pages long. The two pages for the main proposal must include: - A title and authors, affiliations, and contact information. - A title and a brief description of the workshop topic and content. - A list of speakers and alternates whom you intend to invite to present at the workshop. - An estimate of the number of attendees. - A description of any shared tasks associated with the workshop (if any), and an estimate of the number of participants. - A description of special requirements and technical needs. - If the workshop has been held before, a note specifying where previous workshops were held, how many submissions the workshop received, how many papers were accepted (also specify if they were not regular papers, e.g., shared task system description papers), and how many attendees the workshop attracted. - An outline of the intended workshop timeline with details about the following items: ---- First call for workshop papers: some date ---- Second call for workshop papers: some date ---- Workshop paper due: some date ---- Notification of acceptance: some date ---- Camera-ready papers due: some date Workshops are expected to follow the timelines below, so please make sure the dates above fit into the schedule: - 1st Call: no later than 14 March - 2nd Call: no later than 04 April - Deadline: 15 April (no later than 20 April) - Acceptance: no later than 20 May - Camera ready: no later than 27 May - Proceedings deadline: 12 June - Workshops: 27 June The two pages for information about the organisers, program committee, and references must include the following: - The names, affiliations, and email addresses of the organisers, with a brief description (2-5 sentences) of their research interests, areas of expertise, and experience in organising workshops and related events. - A list of Programme Committee members, with an indication of which members have already agreed. - References Submissions should be formatted according to the templates specified below. Anonymisation is not required. Submissions should be no longer than 4 pages, and submitted as PDF files to OpenReview: https://openreview.net/group?id=EAMT.org/2024/Workshops_Track. *** Templates for writing your proposal *** There templates available in the following formats (check our website -- https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers): - LaTeX - Cloneable Overleaf template - Word - Libre Office/Open Office - PDF Please also use these templates for camera-ready workshop contributions to comply with the format requirements for the workshop proceedings to be published in the ACL Anthology. *** Evaluation criteria *** The workshop proposals will be evaluated according to their originality and impact, and the quality of the organising team and Programme Committee. *** Organiser Responsibilities *** The organisers of the accepted proposals will be responsible for publicising and running the workshop, including reviewing submissions, producing the camera-ready workshop proceedings in the ACL Anthology format, as well as organising the schedule with local EAMT organisers. For every accepted workshop, we offer one free registration for the EAMT 2024 conference to one workshop organiser. *** Important dates *** - Proposal submission deadline: 31 January 2024 - Notification of acceptance: rolling basis (no later than 28/02/2024) All deadlines are 23:59 CEST *** Workshop Co-Chairs*** Mary Nurminen (Tampere University) Diptesh Kanojia (University of Surrey) *** Local organising committee *** Carolina Scarton (University of Sheffield) Charlotte Prescott (ZOO Digital) Chris Bayliss (ZOO Digital) Chris Oakley (ZOO Digital) Xingyi Song (University of Sheffield) -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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EAMT 2024: 1st Call for Tutorial Proposals
by Carol Scarton 04 Dec '23

04 Dec '23

******************************************************* EAMT 2024: The 25th Annual Conference of The European Association for Machine Translation 24 - 27 June 2024 Sheffield, UK https://eamt2024.sheffield.ac.uk/ @eamt2024 (X account) Tutorial proposal deadline: 08 March 2024 Tutorial date: 27 June 2024 More information: https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers ******************************************************* *** Overview *** The European Association for Machine Translation (EAMT) invites proposals for tutorials to be held in conjunction with the EAMT 2024 conference taking place in Sheffield, UK, from 24 to 27 June, with tutorials held on 27 June. We seek proposals in all areas of machine translation (see the call for papers of the main conference for the focus areas of EAMT 2024). The aim of a tutorial is primarily to help the audience develop an understanding of particular technical, applied, and business matters related to research, development, and use of MT and translation technology. Presentations of particular technological solutions or systems are welcome, provided that they serve as illustrations of broader scientific considerations. We recommend that the tutorial covers work by the presenters as well as by other researchers. The submission should explain that this breadth is ensured. Tutorials should not be “self-invited talks”. *** Submission Details *** Proposals should not exceed 4 pages of content (plus unlimited pages for references), should be in PDF format, and should contain the following: - A title and authors, affiliations, and contact information. - A brief description of the tutorial content and its relevance to the machine translation community. - Short description of the target audience and any expected prerequisite background the audience should be aware of. - An outline of the tutorial structure content and how it will be covered in a three-hour slot (half-day). In exceptional cases, six-hour tutorial slots (full day) are available. These time limits do not include coffee breaks, e.g., a three-hour tutorial, in fact, occupies a 3.5-hour slot, and a six-hour tutorial occupies a 7-hour slot. - Diversity considerations, e.g. use of multilingual data, indications of how the described methods scale up to various languages or domains, participation of both senior and junior instructors, demographic and geographical diversity of the instructors, plans for how to diversify audience participation, etc. - Reading list. Work that you expect the audience to read before the tutorial can be indicated by an asterisk. Recommended papers should provide the breadth of authorship and include work by other authors, and work from other disciplines is welcome if relevant. - For each tutorial presenter, a one-paragraph statement of their research interests and areas of expertise for the tutorial topic, as well as experience in instructing an international audience. An estimate of the audience size for the tutorial. If the same or a similar tutorial has been given before, include information on where any previous version of the tutorial was given and how many attendees the tutorial attracted. - A description of special requirements for technical equipment. Tutorial proposals should be submitted as PDF files to OpenReview: https://openreview.net/group?id=EAMT.org/2024/Tutorials_Track. Submissions should be formatted according to the templates specified below. Anonymisation is not required. Submissions should be no longer than 4 pages (excluding references). *** Templates for writing your proposal *** There templates available in the following formats (check our website -- https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers): - LaTeX - Cloneable Overleaf template - Word - Libre Office/Open Office - PDF *** Evaluation Criteria *** Each tutorial proposal will be evaluated according to its clarity and preparedness, novelty or timely character of the topic, and instructors’ experience. ** Tutorial Instructor Responsibilities *** Accepted tutorial presenters will be notified by 8 April 2024. They must then provide abstracts of their tutorials for inclusion in the conference registration material by the specific conference deadlines. The description should be in two formats: (a) an ASCII version that can be included in email announcements and published on the conference website, and (b) a PDF version for inclusion in the electronic proceedings (detailed instructions will be provided). Tutorial speakers must provide tutorial materials by 15 May 2024. The final submitted tutorial materials must minimally include copies of the course slides and a bibliography for the material covered in the tutorial. For each tutorial being held at EAMT 2024, we offer free registration to the conference for one tutor only. *** Important Dates *** - Submission deadline for tutorial proposals: 8 March 2024 - Notification of acceptance: 8 April 2024 - Tutorial slides + abstract + bibliography + any other materials: 15 May 2024 All deadlines are at 23:59 CEST. *** Workshop Co-Chairs *** Mary Nurminen (Tampere University) Diptesh Kanojia (University of Surrey) *** Local organising committee *** Carolina Scarton (University of Sheffield) Charlotte Prescott (ZOO Digital) Chris Bayliss (ZOO Digital) Chris Oakley (ZOO Digital) Xingyi Song (University of Sheffield) -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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EAMT 2024: 1st Call for Papers
by Carol Scarton 04 Dec '23

04 Dec '23

******************************************************* EAMT 2024: The 25th Annual Conference of The European Association for Machine Translation 24 - 27 June 2024 Sheffield, UK https://eamt2024.sheffield.ac.uk/ @eamt2024 (X account) Paper submission deadline: 08 March 2024 More information: https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers ******************************************************* ******************************************************* EAMT 2024 1st Call for Papers ******************************************************* The European Association for Machine Translation (EAMT) invites everyone interested in machine translation (MT) and translation-related tools and resources ― developers, researchers, users, translation and localization professionals and managers ― to participate in this conference. Driven by the state of the art, the research community will demonstrate their cutting-edge research and results. Professional MTusers will provide insights into successful MT implementation of MT in business scenarios as well as implementation scenarios involving large corporations, governments, or NGOs. Translation scholars and translation practitioners are also invited to share their first-hand MT experience, which will be addressed during a special track. Note that papers that have been archived in arXiv can be accepted for submission provided that they have not already been published elsewhere. EAMT 2024 has four tracks, namely Research: Technical, Research: Translators & Users, Implementations & Case Studies, and Products & Projects. *** Research: technical *** Submissions (up to 10 pages, plus unlimited pages for references and appendices) are invited for reports of significant research results in any aspect of MT and related areas. Such reports should include a substantial evaluation component, or have a strong theoretical and/or methodological contribution where results and in-depth evaluations may not be appropriate. Papers are welcome on all topics in the areas of MT and translation-related technologies, including, but not limited to: - Deep-learning approaches for MT and MT evaluation - Advances in classical MT paradigms: statistical, rule-based, and hybrid approaches - Comparison of various MT approaches - Technologies for MT deployment: quality estimation, domain adaptation, etc. - Resources and evaluation - MT in special settings: low resources, massive resources, high volume, low computing resources - MT applications: translation/localization aids, speech translation, multimodal MT, MT for user generated content (blogs, social networks), MT in computer-aided language learning, etc. - Linguistic resources for MT: corpora, terminologies, dictionaries, etc. - MT evaluation techniques, metrics, and evaluation results - Human factors in MT and user interfaces - Related multilingual technologies: natural language generation, information retrieval, text categorization, text summarization, information extraction, optical character recognition, etc. Papers should describe original work. They should emphasise completed work rather than intended work, and should indicate clearly the state of completion of the reported results. Where appropriate, concrete evaluation results should be included. Papers should be anonymized, prepared according to the templates specified below, and be no longer than 10 pages (plus unlimited pages for references and appendices). Submit the paper as a PDF to OpenReview: https://openreview.net/group?id=EAMT.org/2024/Technical_Track. Submissions that do not conform to the required styles may be rejected without review. **Track co-chairs Rachel Bawden (Inria, Paris) Víctor M Sánchez-Cartagena (University of Alicante) *** Research: translators & users *** Submissions (up to 10 pages, plus unlimited pages for references and appendices) are invited for academic research on all topics related to how professional translators and other types of MT users interact with, are affected by, or conceptualise MT. Papers should report significant research results with a strong theoretical and/or methodological contribution. Topics for the track include, but are not limited to: - The impact of MT and post-editing: including studies on processes, effort, strategies, usability, productivity, pricing, workflows, and post-editese - Human factors and psycho-social aspects of MT adoption (ergonomics, motivation, and social impact on the profession, relationship between user profiles and MT adoption) - Emerging areas for MT & post-editing: e.g. audiovisual, game localisation, literary texts, creative texts, social media, health care communication, crisis translation - MT and ethics - The impact of using translators’ metadata and user activity data for monitoring their work - The evaluation and reception of different modalities of translation: human translation, post-edited, raw MT - MT and interpreting - Human evaluations of MT output - MT for gisting and the impact of MT on users: use cases, expectations, perceptions, trust, views on acceptability - MT and usability - MT and education/language learning - MT in the translation/interpreting classroom Papers should describe original work. They should emphasise completed work rather than intended work, and should indicate clearly the state of completion of the reported results. Papers should be anonymized, prepared according to the templates specified below, and be no longer than 10 pages (plus unlimited pages for references and appendices). Submit the paper as a PDF to OpenReview: https://openreview.net/group?id=EAMT.org/2024/Research_Translators_Users_Tr…. Submissions that do not conform to the required styles may be rejected without review. ** Track co-chairs Patrick Cadwell (DCU) Ekaterina Lapshinova-Koltunski (University of Hildesheim) *** Implementations & case studies *** Submissions (approximately 4–6 pages) are invited for reports on case studies and implementation experience with MT in organisations of all types, including small businesses, large corporations, governments, NGOs, or language service providers. We also invite translation practitioners to share their views and observations based on their day-to-day experience working with MT in a variety of environments. Topics for the track include, but are not limited to: - Integrating or optimising MT and computer-assisted translation in translation production workflows (translation memory/MT thresholds, mixing online and offline tools, using interactive MT, dealing with MT confidence scores) - Managing change when implementing and using MT (e.g. switching between multiple MT systems, limiting degradations when updating or upgrading an MT system) - Implementing open-source MT (e.g. strategies to get support, reports on taking pilot results into full deployment, examples of advanced customization sought and obtained thanks to the open-source paradigm, collaboration within open-source MT projects) - Evaluating MT in a real-world setting (e.g. error detection strategies employed, metrics used, productivity or translation quality gains achieved) - Ethical and confidentiality issues when using MT, especially MT in the cloud - Using MT in social networking or real-time communication (e.g. enterprise support chat, multilingual content for social media) - MT and usability - Implementing MT to process multilingual content for assimilation purposes (e.g. cross-lingual information retrieval, MT for e-discovery or spam detection, MT for highly dynamic content) - MT in literary, audiovisual, game localization and creative texts - Impact of MT and post-editing on translation practices and the profession: processes, effort, compensation, - Psycho-social aspects of MT adoption (ergonomics, motivation, and social impact on the profession) - Error analysis and post-editing strategies (including automatic post-editing and automation strategies) - The use of translators’ metadata and user activity data in MT development - Freelance translators’ independent use of MT - MT and interpreting Papers should highlight real-world use scenarios, solutions, and problems in addition to describing MT integration processes and project settings. Where solutions do not seem to exist, suggestions for MT researchers and developers should be clearly emphasized. For papers on implementations and case studies produced by academics, we require co-authorship with the actual organizations working with MT implementations. Papers (approximately 4–6 pages, with a maximum of 10 pages -- plus unlimited pages for references) should be formatted according to the templates specified below and submitted as PDF files to Open Review: https://openreview.net/group?id=EAMT.org/2024/Implementations_Case_Studies_…. Anonymization is not required in the Implementations & Case Studies track submissions. Submissions that do not conform to the required styles may be rejected without review. ** Track co-chairs Vera Cabarrão (Unbabel) Konstantinos Chatzitheodorou (Strategic Agenda) *** Products & Projects *** Submissions (2 pages, including references) are invited on either of the subtracks (Products or Projects). - Products: Tools for MT, computer-aided translation, and other translation technologies (including commercial products and free/open-source software). Descriptions should include information about product availability and licensing, an indication of cost if applicable, basic functionality, (optionally) a comparison with other products, and a description of the technologies used. The authors should be ready to present the tools in the form of demos or posters during the conference. - Projects: Research projects, funded through grants obtained in competitive public or private calls related to MT. Descriptions should contain: project title and acronym, funding agency, project reference, duration, list of partner institutions or companies in the consortium if there is one, project objectives, and a summary of partial results available or final results if the project has ended. The authors should be ready to present the projects in the form of posters during the conference. This follows on from the successful ‘project villages’ held at the last EAMT conferences. There will be a poster boaster session for this track, in which authors will have 120 seconds to attract attendees to their posters or demos with a two-slide presentation. Submissions should be formatted according to the templates specified below. Anonymization is not required. Submissions should be no longer than 2 pages (including references), and submitted as PDF files to OpenReview: https://openreview.net/group?id=EAMT.org/2024/Products_Projects_Track. Track chair Helena Moniz (University of Lisbon (FLUL), INESC-ID) *** Templates for writing your proposal *** There templates available in the following formats (check our website -- https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers): - LaTeX - Cloneable Overleaf template - Word - Libre Office/Open Office - PDF *** Important deadlines *** - Deadline for paper submission: 8 March 2024 - Notification to authors: 8 April 2024 - Camera ready deadline: 22 April 2024 - Author Registration: 8 May 2024 All deadlines are at 23:59 CEST. *** Local organising committee *** Carolina Scarton (University of Sheffield) Charlotte Prescott (ZOO Digital) Chris Bayliss (ZOO Digital) Chris Oakley (ZOO Digital) Xingyi Song (University of Sheffield) -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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TT job: Assistant/Associate Professors in Cultural Heritage Informatics, University of Arizona
by heather froehlich 04 Dec '23

04 Dec '23

Dear all, (with apologies for cross-posting) The University of Arizona’s School of Information invites applications for *Assistant/Associate Professors in Cultural Heritage Informatics.* These are tenure-line hires in our iSchool, a place for the interdisciplinary study of information. The iSchool is particularly focused on preparing students for living, thinking, and working in the digital age. Students are trained to become specialists in information management, data analysis, artificial intelligence, librarianship, social media marketing, and much more. The iSchool has highly ranked on-campus and online degree programs, with a normal teaching load of two graduate courses per semester for tenure track/tenured faculty. We intend to hire *multiple* tenure-track Assistant or Associate Professors with records of research in creative and critical application of information and computing technology in cultural heritage to begin in mid-August, 2024. We are especially interested in candidates who are well-versed in qualitative and quantitative methodologies as well as those with interest in academic leadership roles (e.g. program supervision, student advising) who bring a record of working on inter- or trans-disciplinary funded grant teams. We invite applicants from a range of disciplines, including but not limited to library and information science, cultural heritage studies, archival studies, digital humanities, Indigenous studies, geography and development, and more. Our intent is to recruit scholars with research agendas that overlap with existing areas of strength in the iSchool regardless of disciplinary background. We are especially interested in candidates with any of the following expertise: • Curation and management of cultural heritage data and artifacts • Digital preservation infrastructures, systems, or tools • Digital Humanities, and data-intensive cultural heritage environments • Archives, access, and preservation with historically marginalized communities • Collaborative research with/in marginalized communities and/or critical cultural studies • Computational techniques in analyzing archival and/or museum collections • Convergence of libraries, archives, and museums through information technologies such as digitization, digital imaging, access systems, aggregation, linked data, and/or related areas. More details/apply here: https://arizona.csod.com/ux/ats/careersite/4/home/requisition/18291?c=arizo… I am not affiliated with this search but I am happy to discuss life in Tucson, moving into library-affiliated landscapes, etc. I will add that there's tons of interest across UofA in computing and cultural informatics to get tapped into, and our iSchool students are particularly interested in digital scholarship! Thank you, Heather Froehlich -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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SCI-CHAT 2024: Second call for Participation & Papers for Workshop on Simulation of Conversational Intelligence in Chat
by Gerasimos Lampouras 04 Dec '23

04 Dec '23

tl;dr: - submission deadline for research track paper via Softconf: December 18th 2023 - submission deadline for research track submissions already reviewed via ARR: January 17th 2024 - submission deadline for shard task systems: January 20th 2024 - submission deadline for shard task system descriptions via SoftConf: January 26th 2024 https://sites.google.com/view/dialogue-evaluation/ Call for Papers The aim of this workshop is to bring together experts working in the area of open-domain dialogue. In this speedily advancing research area many challenges still exist, such as learning information from conversations, engaging in realistic and convincing simulation of human intelligence, reasoning, and so on. SCI-CHAT follows previous workshops on open domain dialogue, but with a focus on the simulation of intelligent conversation, including the ability to follow a challenging topic over a multi-turn conversation, the ability to posit questions, refuting and reasoning with live human evaluation employed as the primary mechanism for evaluating models. The workshop will include a research track and shared task: SCI-CHAT's research track aims to explore recent advances and challenges in open-domain dialogue research. Researchers working on all aspects of open-domain dialogue are invited to submit papers on recent advances, resources, tools, analysis, evaluation, and challenges on the broad theme of open-domain dialogues. The topics of the workshop include but are not limited to the following: - Intelligent conversation, chit-chat, open-domain dialogue; - Automatic and human evaluation of open-domain dialogue; - Limitations, risks and safety in open-domain dialogue; - Instruction-tuned and instruction-enabled models; - Any other topic of interest to the dialogue community. SCI-CHAT's shared task will focus on simulating intelligent conversations; participants will be asked to submit (access to the APIs of) automated dialogue agents with the aim of carrying out nuanced conversations over multiple dialogue turns. Participating systems will be interactively evaluated in a live human evaluation. All data acquired within the context of the shared task will be made public, providing an important resource for improving metrics and systems in this research area. Submission guidelines: Authors are invited to submit their unpublished work that represents novel research through either direct submission or ARR commitment. Papers should consist of up to 8 pages of content, plus unlimited pages for references and appendix. Authors should make use of the EACL Latex Template <https://2023.eacl.org/calls/styles/> alongside supplementary materials, including technical appendices, links to source code, datasets, and multimedia appendices. Papers can also be submitted as non-archival, so that their content can be reused for other venues by adding "(NON-ARCHIVAL)" to the title of their submission. Previously published work can also be submitted as non-archival in the same way, with the additional requirement to state such on the first page. - Direct paper submissions must be submitted through SoftCon submission link: https://softconf.com/eacl2024/SCI-CHAT-2024/ <https://softconf.com/eacl2024/SCI-CHAT-2024/> Multiple submissions of the same paper to more EACL workshops are forbidden. All papers will be double-blind peer-reviewed, by at least 2 program committee members. As such, all submissions, including the main paper and its supplementary materials, should be fully anonymized. For more information on formatting and anonymity guidelines, please refer to EACL guidelines <https://eacl.org/index.html>. Organizers - Yvette Graham (Trinity College Dublin, Ireland) - Qun Liu (Huawei Noah's Ark Lab, China) - Gerasimos Lampouras (Huawei Noah's Ark Lab,UK) - Ignacio Iacobacci (Huawei Noah's Ark Lab, UK) - Sinead Madden (Trinity College Dublin, Ireland) - Haider Khalid (Trinity College Dublin, Ireland) - Rameez Qureshi (Trinity College Dublin, Ireland) Important Dates Regarding Research Track: - Research paper via Softconf: December 18th 2023 - Pre-reviewed ARR commitment deadline: January 17th 2024 - Notification of research paper acceptance: January 20th, 2024 - Camera-ready papers due: January 30th 2024 Regarding Shared Task: - Release of training and development data: November 9th 2023 - Release of baseline systems: November 9th 2023 - Preliminary System submission deadline: January 13th 2024 (optional - if you want help testing your API, please submit early) - System submission (API) deadline: January 20th 2024 - System description paper via SoftConf: January 26th 2024 - Camera-ready papers due: January 30th 2024 Overview of results at one-day workshop: March 21 or 22, 2024 CONTACT: sci-chat(a)adaptcentre.ie

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job posting - PhD student information extraction & NLP
by Laura Kallmeyer 04 Dec '23

04 Dec '23

PhD student– Information Extraction & Natural Language Processing Starting now / at the soonest possible date, the Data & Knowledge Engineering group at Heinrich-Heine-University (HHU, Düsseldorf), affiliated with Knowledge Technologies for Social Sciences (KTS, https://www.gesis.org/en/kts) at GESIS (Cologne) and the Computational Linguistics department at HHU ( https://www.ling.hhu.de/bereiche-des-institutes/abteilung-fuer-computerling…) are looking for a *PhD student– Information Extraction & Natural Language Processing* (Salary group 13 TV-L, working time 75%-100%, initially limited to 36 months with the possibility of further extension) In the context of the research project "NewOrder", we are investigating scientific online discourse in news & social media, in an interdisciplinary consortium involving researchers from Computer Science, Psychology, Political and Communication Science. Our research will be concerned with novel Natural Language Processing (NLP) methods for the analysis of scientific online discourse (e.g. on Twitter) addressing challenges arising from its informal nature and heterogeneity. For instance, references to scientific works (e.g. publications, studies, datasets), scientists or scientific organisations are often provided in informal and ambiguous ways. Other challenges include the dynamically evolving vocabulary posing challenges for reuse and adaptation of both pretrained language models as well as NLP models finetuned towards specific downstream tasks. Hence, detecting and disambiguating informal science discourse and associated claims remains a challenging problem. Your tasks will be: ******************* * Research in fields such as NLP, Machine Learning, Language Modeling and Representation learning, specifically with the aim to extract structured information from online discourse data * Develop NLP methods for (i) the detection, disambiguation and classification of sources of science-related information on social media, (ii) assessing the quality and credibility of sources and claims and (iii) investigating implicit language cues for cognitive states and source characteristics/traits * Writing, publishing and presenting project results * Collaboration with team members and project partners in an interdisciplinary consortium Your profile: ************** * University degree (diploma/MSc) in Computational Linguistics, Computer Science or related fields * Research interests in NLP, machine learning, data mining, large language models * Hands-on experience with Python and handling big datasets, ideally experience with Big Data Frameworks (e.g. Spark/Hadoop) * Knowledge of ML-Frameworks such as TensorFlow and PyTorch * Ability to communicate fluently in English mandatory, basic knowledge of the German language desirable What we offer: *************** * Flexible working hours and home office arrangements * A fast growing and international working environment with a lot of creative scientific freedom * Access to unique research data, (social) web archives and behavioral data * Support of collaborations with international research labs and experts through an extensive international exchange programme The PhD research will be supervised by Prof. Dr. Stefan Dietze (Scientific Director of KTS at GESIS and Professor for Data & Knowledge Engineering at HHU) & Prof. Dr. Laura Kallmeyer (Chair of Computational Linguistics department at HHU). For further information please contact Stefan Dietze (stefan.dietze(a)hhu.de) and/or Laura Kallmeyer (kallmeyer(a)phil.uni-duesseldorf.de). Interested? ************* Please apply by sending your complete application documents as a single PDF file to stefan.dietze(a)hhu.de by 20 December 2023. -- Prof. Dr. Laura Kallmeyer Institut für Linguistik Heinrich-Heine Universität Duesseldorf Universitaetsstr. 1 D-40225 Duesseldorf, Germany https://user.phil.hhu.de/kallmeyer/ Phone +49 (0)211 8113899

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NLP Fully Funded PhD position at Ulster University, UK
by muskaan singh 03 Dec '23

03 Dec '23

Hi all, I have two fully funded position for 3 years in Social Network Analysis https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1577710 Speech and Language Disorder, https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1577271 If you're interested, please feel free to contact me for more details or apply on the link provided. Thanks, Muskaan Singh

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Fully funded PhD positions in NLP/AI
by Somnath Banerjee 03 Dec '23

03 Dec '23

Dear all, Applications are invited for a fully funded PhD (4-year) on Natural language processing (NLP) and social computing. POSITIONS: Presently, I am looking to recruit 2 PhD students to start their PhD as members of the TARTUNLP Group, Institute of Computer Science<https://cs.ut.ee/en>, at the University of Tartu. The University of Tartu is one of the oldest universities (founded in 1632) in Northern and Eastern Europe. As of 2023, the University of Tartu belongs to the top 1% of the world's universities. Here, 13,000 students and 3000 staff members study and work in a diverse range of fields connected by the power of curiosity. SCOPE (but not limited to): - Content analysis on Social Media (Named Entity Recognition, Sentiment analysis, etc.) - Information Disorder on Social Media (Fake news, Cyberbullying, Hate Speech, misinformation, etc.) - Disaster Management Using Social Media - Explainable AI in NLP - LLM BENEFITS: - Scholarship approximately 2000 Euro/month gross amount. - Health insurance cover. - Travel grant for attending conferences and workshops, etc. HOW TO APPLY: - Send your latest CV to somnath.banerjee(a)ut.ee with the subject line "PhD position 2024". Your CV must include: - final year undergraduate/graduate project (brief description: max 150 words) - pursued relevant subjects at undergraduate and/or Master level (if any) - relevant work experience (if any) - publications (if any) - The name and email contacts of academic referees(optional) **Do not send academic certificates, motivation letters, letters of recommendation, etc. Upon initial selection based on CVs, additional documents will be asked for further processing. NOTE: - Master-level students who are in their final semester also can apply. - Applications will be considered until the position is filled. However, you are encouraged to apply early as the processing of the applications will start soon after receiving them. For queries: Feel free to reach out with questions or comments by contacting somnath.banerjee(a)ut.ee with the subject line "PhD positions queries". Kind regards, Somnath Banerjee Assistant Professor, Chair of Natural Language Processing, Institute of Computer Science, University of Tartu, webpage: http://www.ut.ee/~somnath/

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SEPLN – CEDI 2024: 40th INTERNATIONAL CONFERENCE OF THE SPANISH SOCIETY FOR NATURAL LANGUAGE PROCESSING - VII CONGRESO ESPAÑOL DE INFORMÁTICA
by rafael＠dlsi.ua.es 01 Dec '23

01 Dec '23

SEPLN – CEDI 2024: 40th INTERNATIONAL CONFERENCE OF THE SPANISH SOCIETY FOR NATURAL LANGUAGE PROCESSING - VII CONGRESO ESPAÑOL DE INFORMÁTICA A Coruña, Spain June 20, 2024 The Spanish Society for Natural Language Processing (SEPLN) is pleased to invite you to participate in the Special SEPLN – CEDI Seminar 2024. The Seminar will take place on 20 June 2024 in A Coruña (Spain) co-located with the VII Congreso Español de Informática. The SEPLN-CEDI 2024 Seminar intends to be an appropriate forum for helping new professionals to become active members in this field. In this respect, its main aim is to give the possibility to present real NLP applications (demos) and R&D projects. Topics of interest Topics related to NLP, including but not limited to: Linguistic, mathematical and psycholinguistic models of language. Machine learning in NLP. Computational lexicography and terminology. Corpus linguistics. Development of linguistic resources and tools. Morphological and syntactic analysis. Semantics, pragmatics and discourse. Word sense disambiguation. Monolingual and multilingual text generation. Machine translation. Knowledge and common sense. Multimodality. Spoken language processing. Dialogue systems and interactive systems / Conversational assistants. Multimedia indexing and retrieval. Monolingual and multilingual information extraction and retrieval. Question answering systems. Evaluation of NLP systems. Automatic textual content analysis. Sentiment analysis and argument mining. Plagiarism detection. Negation and speculation processing. Text mining in social media. Text summarization. Text simplification. NLP in the biomedical domain. NLP-based generation of teaching resources. NLP for languages with limited resources. NLP industrial applications. Low-resource NLP tasks, data augmentation. Ethics and NLP. Interpretability and Analysis of Models for NLP. Structure of the Conference The SEPLN-CEDI 2024 Seminar will be a one-day event and will include sessions to present ongoing research projects and prototype or product demos related to the topics of the conference. Paper types and author guidelines The SEPLN-CEDI 2024 Seinar will accept two kinds of papers: (1) research project summaries and (2) system demonstration papers. Research project summaries. They are summaries of ongoing research projects. This kind of papers must include the following information: Project title. Author name, affiliation and contact information. The review of this kind of paper is not blind review. Funding institutions. Research Groups participating in the project. Language: English. We will not accept research project summaries in Spanish or other languages. An abstract of a maximum of 150 words and a list of keywords. Minimum length: 5 A4-size pages. Maximum length: 6 A4-size pages (including references). In the submission platform you have to choose “Projects and Demos” as main topic. System demonstration papers. These papers must be related to NLP applications, and they must describe the technical details and the NLP components used or developed. The paper must be written in English, the minimum length of the paper must be 5 A4-size pages and the maximum length is 6 A4-size pages of content with the references included. In the submission platform you have to choose “Projects and Demos” as main topic. The research project summaries and the system demonstration papers will be published in CEUR Workshop Proceedings platform, which is widely known by the computer science research community. Accordingly, the paper format must be in accordance with the CEUR template. We have adapted the CEUR Latex Template to SEPLN 2023 and you can download it (Latex, Word). Submission Information. The papers must be submitted by February 16th, 2024. All submissions must be in PDF format and submitted electronically using the MyReview system available. Submitted papers will be subjected to a blind review by at least three members of the SEPLN advisory council. Camera ready - the final version of the paper should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper. Preprint policy – The CEUR proceedings allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper is “under review” in the CEUR Proceedings. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper. Important dates Deadline for the submission of projects and demos: Febraury 16th, 2024. Notification of acceptance: March 16th, 2024. Deadline Authors Registration: April 8th, 2024 Camera Ready: May 8th, 2024. Conference: June 20th, 2024. Organizing Committee Rafael Muñoz Guillena University of Alicante (Spain). Elena Lloret Pastor University of Alicante (Spain). Eugenio Martínez Cámara University of Granada (Spain). Alba Bonet University of Alicante (Spain) Robiert Sepúlveda University of Alicante (Spain) Alvaro Rodrigo Yuste UNED (Spain) Contact All information related to the conference can be found at: https://seplncedi2024.gplsi.es For all general enquiries, please contact: seplncedi2024(a)googlegroups.com ------------------------------------------------------------------------- Rafael Muñoz Guillena Universidad de Alicante -------------------------------------------------------------------------

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Call for applications (all areas of linguistics): funded training school, ‘Language in the Human-Machine Era’, Hradec Králové, Czech Republic, 27–31 May 2024 (deadline Tuesday 19 Dec 2023 12:00 CET)
by Rui Sousa Silva 01 Dec '23

01 Dec '23

‘Language in the Human-Machine Era’ (https://lithme.eu/) welcomes everyone interested in the impact of new and emerging language technologies that integrate with human senses. Whether you are a tech developer who wants to learn more about linguistics, or a linguist who wants to know more about tech, we want to hear from you! You can find out more about our themes of interest from our published forecast report (https://doi.org/10.17011/jyx/reports/20210518/1) and our animations (https://lithme.eu/animations). Funding is available to people in European countries and in countries neighbouring Europe (see https://www.cost.eu/about/strategy/cost-global-networking/). Self-funded applicants from any country are also welcome, with no registration fee. LITHME’s overall aim is to prepare for imminent changes in the way we use technology to communicate. From immersive augmented reality to super-intelligent chatbots, in the near future we will be communicating in very different ways. This will present significant challenges for all areas of linguistics and language research; meanwhile, developers need insights from linguistic research to improve the technologies themselves. So we must all adapt. Our fully funded training school is open to any eligible researcher or practitioner who is interested in exploring these timely topics. We welcome experienced developers, but no technological expertise is required, only an interest in exploring the possible effects of these near-future advances in language technology. More information about eligibility, and the online application form, can be found at https://lithme.eu/training-school-2024/<https://lithme.eu/training-school/>. The deadline for applications is Tuesday 19 Dec 2023, 12:00 CET. Please forward this email on to anyone who may be interested, and please repost the announcement here: https://twitter.com/LgHumanMachine/status/1724750085907484672 https://bsky.app/profile/lghumanmachine.bsky.social/post/3ke7xbuozl22k We hope to see you in Hradec Králové! Best wishes, Rui Sousa-Silva (on behalf of the training school organising committee) Rui Sousa Silva Faculdade de Letras, Universidade do Porto Faculty of Arts and Humanities, University of Porto www.linguisticaforense.pt | https://s.up.pt/qjur

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Second CfP: The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
by Stan Szpakowicz 01 Dec '23

01 Dec '23

*LaTeCH-CLfL 2024: The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature * to be held in March 2024 in conjunction with EACL 2024 <https://2024.eacl.org/> in St Julian’s, Malta. https://sighum.wordpress.com/latech-clfl-2024/ Second Call for Papers (with apologies for cross-posting) Organisers: Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Stan Szpakowicz LaTeCH-CLfL 2024 is the eighth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual meetings. The SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational Linguistics for Literature (CLfL) took place in 2012-2016. The first seven joint workshops (LaTeCH-CLfL) were held in 2017-2023. *Topics and content* In the Humanities, Social Sciences, Cultural Heritage and literary communities, there is increasing interest in, and demand for, NLP methods for semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of both primary and secondary data. This is even true of primarily non-textual collections, given that text is also the pervasive medium for metadata. Such applications pose new challenges for NLP research: noisy, non-standard textual or multi-modal input, historical languages, vague research concepts, multilingual parts within one document, and so no. Digital resources often have insufficient coverage; resource-intensive methods require (semi-)automatic processing tools and domain adaptation, or intense manual effort (e.g., annotation). Literary texts bring their own problems, because navigating this form of creative expression requires more than the typical information-seeking tools. Examples of advanced tasks include the study of literature of a certain period, author or sub-genre, recognition of certain literary devices, or quantitative analysis of poetry. NLP methods applied in this context not only need to achieve high performance, but are often applied as a first step in research or scholarly workflow. That is why it is crucial to interpret model results properly; model interpretability might be more important than raw performance scores, depending on the context. More generally, there is a growing interest in computational models whose results can be used or interpreted in meaningful ways. It is, therefore, of mutual benefit that NLP experts, data specialists and Digital Humanities researchers who work in and across their domains get involved in the Computational Linguistics community and present their fundamental or applied research results. It has already been demonstrated how cross-disciplinary exchange not only supports work in the Humanities, Social Sciences, and Cultural Heritage communities but also promotes work in the Computational Linguistics community to build richer and more effective tools and models. Topics of interest include, but are not limited to, the following: • adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature; • automatic error detection and cleaning of textual data; • complex annotation schemas, tools and interfaces; • creation (fully- or semi-automatic) of semantic resources; • creation and analysis of social networks of literary characters; • discourse and narrative analysis/modelling, notably in literature; • emotion analysis for the humanities and for literature; • generation of literary narrative, dialogue or poetry; • identification and analysis of literary genres; • interpretability of large language models output for DH-related tasks (explainable AI); • linking and retrieving information from different sources, media, and domains; • low-resource and historical language processing; • modelling dialogue literary style for generation; • modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage; • profiling and authorship attribution; • search for scientific and/or scholarly literature; • work with linguistic variation and non-standard or historical use of language. *Information for authors* We invite papers on original, unpublished work in the topic areas of the workshop. In addition to long papers, we will consider short papers and system descriptions (demos). We also welcome position papers. • Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. • A short paper / demo presenting work in progress, or the description of a system, and may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings. • A position paper — clearly marked as such — should not exceed eight (8) pages including references. All submissions are to use the EACL stylesheets (for LaTeX / Overleaf and MS Word); there will be a link soon (we hope) but last year's https://2023.eacl.org/calls/styles is a good guess. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL2024 submission website on the SoftConf pages at https://softconf.com/eacl2024/LaTeCH-CLfL-2024/. Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Self-references should be kept to a reasonable minimum, and anonymous citations cannot be used. We will make an exception for demo papers: the review may be single-blind. Accepted papers will be published in the workshop proceedings available as usual in the ACL Anthology. *Important dates* (still tentative) Workshop paper due: December 18, 2023 Notification of acceptance: January 20, 2024 Camera-ready papers due: January 30 2024 Workshop date: March 21 or 22, 2024 *More on the organizers* Yuri Bizzoni, Center for Humanities Computing / School for Communication and Culture, Århus University Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University Anna Kazantseva, National Research Council Canada Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa *Contact* latech-clfl(a)googlegroups.com

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1st International Workshop on Open Web Search: Call for Participation
by maik.froebe＠uni-jena.de 30 Nov '23

30 Nov '23

We invite you to participate in the ECIR 2024 Workshop on Open Web Search. Since much of the web search technology stack is closed source, and many even basic pieces of technology for building a scalable web search engine are missing, the WOWS workshop aims to promote, discuss, and develop an open web search ecosystem. The workshop encourages submissions of scientific papers and implementations of retrieval components. For the practical part of submitting (parts of) retrieval pipelines, we offer mentoring of (early-stage) participants (e.g., bachelor/master students). Learn more at https://opensearchfoundation.org/wows2024 ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- Now open: Pre-Registration to coordinate implementation efforts at https://www.tira.io/t/pre-registration January 24, 2024: Early Bird Submission deadline February 14, 2024: Submission deadline March 13, 2024: Peer review notification March 20, 2024: Camera-ready papers submission March 28, 2024: Workshop (co-located with ECIR 2024 in Glasgow) Best regards, WOWS team

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Call for Shared Tasks Proposals - the 11th Workshop on Argument Mining (ACL 2024, Bangkok, Thailand)
by Yamen Ajjour 30 Nov '23

30 Nov '23

CALL FOR SHARED TASK PROPOSALS We cordially invite submissions of shared tasks as part of ArgMining 2024, the “11th Workshop on Argument Mining”. The workshop will be co-located with ACL 2024 (to be held in Bangkok, Thailand). Argument mining (also known as “argumentation mining”) is a gradually maturing research area within computational linguistics. It involves the automatic identification of argumentative structures in free text, as well as argument quality assessment, argument persuasiveness, and the synthesis of argumentative texts. To advance research on specific aspects of argument mining, previous editions of the ArgMining workshop series have promoted shared tasks, including key point analysis for quantitative summarization of arguments (see https://2021.argmining.org/), the validity and novelty of arguments (see https://argmining-org.github.io/2022/), multimodal argument mining and pragmatic tagging of peer reviews (see https://argmining-org.github.io/2023). Following the success of previous workshops, ArgMining 2024 plans to share one or more unsolved problems to be investigated by the community. Proposals for shared tasks should include: * a title and a brief description of the task * a description of the datasets that will be used in the task and their readiness, and a proposed plan for data collection and annotation * previous work on the datasets, including publications (if any) * a few lines regarding evaluation of the submitted systems * a brief introduction of the task organizers Shared task organizers will have the opportunity to publish a task overview paper in the workshop proceedings. Please submit your shared task proposal via email to argmining.org [at] gmail.com. The submission deadline is January 5, 2024, and task organizers will be notified of proposal acceptance on January 19, 2024. While exact dates are not yet available, we assume the following tentative schedule: * End of February - Training data release * Mid of April - Test data release, evaluation start * End of April - Evaluation end * Mid of May - Results announcement * End of May - Paper submission due * End of June - Camera-ready version due * Mid of August - ArgMining 2024 workshop (ACL) The timeline will be finalized with the shared task organizers. ORGANIZERS: Yamen Ajjour, Leibniz University Hannover Roy Bar-Haim, IBM Research Roxanne El Baff, German Aerospace Center (DLR) and Bauhaus-Universität Zhexiong Liu, University of Pittsburgh Gabriella Skitalinskaya, Leibniz University Hannover

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[IberLEF 2024] Call for Task Proposals
by Salud María Jiménez Zafra 30 Nov '23

30 Nov '23

================================= IberLEF 2024 -- Call for Task Proposals ================================= The goal of IberLEF is to encourage the research community to organize competitive text processing, understanding and generation tasks, with the aim of defining new research challenges and advancing the state of the art in Natural Language Processing challenges involving at least one of the following Iberian languages: Spanish, Portuguese, Catalan, Basque or Galician. Researchers and practitioners from all areas of Natural Language Processing and related communities are invited to submit task proposals that fit IberLEF goals by December 22, 2023. Proposals must be submitted (as a pdf file) to iberlef(a)googlegroups.com, and should include the following fields: - Title of the task. - Description of the task, highlighting: - Relevance and novelty of the task, and the challenges involved. - Evaluation measures, and other relevant methodological aspects. - Expected target community, and actual or potential industrial takeup. - Related evaluation activities, if any. - Previous editions of the task, if any. If it has been organized previously, what the roadmap is and what the novelties for 2024 are. - Linguistic resources to be gathered, created and/or reused. Please include as many details on data gathering, selection and annotation procedures as possible: sources and representativity, training/validation/test sizes, harvesting procedures, profile of annotators (experts, linguists, crowdworkers, etc.), multiple annotation policy, IPR issues, baselines, etc. - Tentative schedule (note that camera-ready versions of the proceedings must be ready by July 11, 2024). - Organization committee: full name and affiliation of the organizers, with a succinct description of their research interests, areas of expertise and experience organizing similar events. - Funding, if available. - Contact person. - Any other relevant issues. Task organizers duties Note that organizers of accepted tasks are expected to: - Set up the evaluation exercise according to the submitted proposal. - Promote the task within the target research community. - Manage the submission and scientific evaluation of the system description papers of the corresponding systems submitted by the participants. The accepted papers will be published in the IberLEF proceedings. - Prepare and submit an overview of the evaluation exercise. - Present the results of the task at IberLEF 2024. Task selection procedure Each submitted proposal will be reviewed by members of the IberLEF steering and program committee, and decisions will be sent back to the task organizers by January 26, 2024. Proceedings IberLEF 2024 Proceedings including the description of the participating systems will be published at CEUR-WS.org. Task Overviews will be published in the SEPLN journal (http://www.sepln.org/en/journal, indexed in Clarivate ESCI (JCI: 0.21), CiteScore (Scopus): 2,9 and SJR: 0,421) in its September 2024 issue. Task Organizers are expected to send the camera ready task and system description papers for their task to IberLEF organizers by July 11, 2024. Important dates - Task proposals due: December 22, 2023. - Notification of acceptance: January 26, 2024. - Camera ready submissions due: July 11, 2024. - IberLEF Workshop: September 2024. IberLEF general chairs: Salud María Jiménez Zafra, SINAI, Universidad de Jaén (Spain) Luis Chiruzzo, Universidad de la República (Uruguay) Francisco Rangel, Symanto Research (Spain) Website https://sites.google.com/view/iberlef-2024 Contact E-mail: iberlef(a)googlegroups.com ================================= [image: Universidad de Jaén] <http://www.uja.es/> *Salud María Jiménez Zafra* sjzafra(a)ujaen.es Universidad de Jaén Grupo de Investigación SINAI <http://sinai.ujaen.es/> | Departamento de Informática EPS Jaén, Edificio A3, Despacho 219 Campus Las Lagunillas s/n 23071 - Jaén | +34 953212992 [image: Universidad de Jaén] <http://www.uja.es/>

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): Last Mile for Paper Submission
by Announce 30 Nov '23

30 Nov '23

*** Last Mile for Paper Submission *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: Abstract: December 1, 2023 AoE; Paper: December 8, 2023 AoE ***) The CAiSE’24 organization calls for full papers with a special emphasis on the theme of Information Systems in the Age of Artificial Intelligence. Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing various industries, and its significance in Information Systems cannot be overstated. AI-powered systems have the potential to streamline operations, enhance decision-making processes, and drive innovation across organizations. From data analysis to automated processes, AI is reshaping the way we leverage information in the digital age. The relevance of AI in IS extends beyond internal operations. AI-powered predictive analytics enables organizations to forecast trends, anticipate customer needs, and optimize resource allocation. This empowers businesses to adapt swiftly to changing market dynamics, gain a competitive edge, and make proactive decisions. AI algorithms can also detect anomalies and patterns that indicate potential security breaches, contributing to robust cybersecurity measures in information systems. However, while acknowledging the benefits, it is essential to consider the ethical implications of AI in information systems. Ensuring data privacy, addressing bias in algorithms, and maintaining transparency are vital aspects that need to be carefully managed and regulated to foster trust and accountability. In addition to offering an exciting scientific program, CAiSE’24 will feature a best paper award, a journal special issue, and a PhD-thesis award: • Best Paper Award‚ prize EUR 1000 (sponsored by Springer) • A small selection of best papers will be invited to submit enhanced versions for consideration in a special issue of Elsevier Information Systems journal dedicated to this conference. • PhD-Thesis Award • Best PhD thesis of a past CAiSE Doctoral Consortium author (co-sponsored by the CAiSE Steering Committee and Springer) Papers should be submitted in PDF format. Submissions must conform to Springer‚ LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. See the guidelines here: https://www.springer.com/comp/lncs/authors.html . The results described must be unpublished and must not be under review elsewhere. Three to five keywords characterizing the paper should be listed at the end of the abstract. Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one additional program board member. The selected papers will be discussed among the paper reviewers online and during the program board meeting. As the review process is not blind, please indicate your name and affiliation on your submission. Accepted papers will be presented at CAiSE’24 and published in the Springer Lecture Notes in Computer Science (LNCS) conference proceedings. We invite three types of original and scientific papers. The type of submission must be indicated in the submission system. Each contribution should explicitly address the engineering or the operation of information systems, clearly identify the information systems problem addressed, the expected impact of the contribution to information system engineering or operation, and the research method used. We strongly advise authors to clearly emphasize these aspects in their paper, including the abstract. Technical papers describe original solutions (theoretical, methodological or conceptual) in the field of IS Engineering. A technical paper should clearly describe the situation or problem tackled, the relevant state of the art, the position or solution suggested and its potential‚ as well as demonstrate the benefits of the contribution through a rigorous evaluation. Empirical papers evaluate existing problem situations including problems encountered in practice, or validate proposed solutions with scientific means, i.e., by empirical studies, experiments, case studies, experience reports, simulations, etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research method must be sound and appropriate. Exploratory papers describe completely new research positions or approaches, in order to face a generic situation arising because of new ICT tools, new kinds of activities, or new IS challenges. They must precisely describe the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness in addressing the identified situation. The topics of contribution include but are not limited to: • Novel Approaches to IS Engineering ◦ Artificial Intelligence and Machine Learning ◦ Robotic Process Automation (RPA) ◦ Big Data, Data Science and Analytics ◦ Blockchain applications in IS ◦ Simulation and Digital Twins  ◦ IS for collaboration and social computing  ◦ Virtual reality / Augmented Reality ◦ Context-aware, autonomous and adaptive IS • Models, Methods and Techniques in IS Engineering ◦ Ontologies and Ontology Engineering ◦ Conceptual modeling, languages and design ◦ Requirements engineering ◦ Process modeling, analysis and improvement ◦ Process automation, mining and monitoring ◦ Models and methods for evolution and reuse ◦ Domain and method engineering ◦ Product lines, variability and configuration management ◦ Compliance and alignment handling ◦ Active and interactive models ◦ Quality of IS models for analysis and design ◦ Visualization techniques in IS ◦ Decision models and business intelligence ◦ Knowledge graphs ◦ Human-centered techniques • Architectures and Platforms for IS Engineering ◦ Distributed, mobile and open architecture ◦ Big Data architectures ◦ Cloud- and edge-based IS engineering ◦ Service oriented and multi-agent IS engineering ◦ Multi-platform IS engineering ◦ Cyber-physical systems and Internet of Things (IoT) ◦ Workflow and Process Aware Information Systems (PAIS) ◦ Handling of real time data streams ◦ Content management and semantic Web ◦ Crowdsourcing platforms ◦ Conversational agents (chatbots) ◦ Microservices design and deployment • Domain-specific and Multi-aspect IS Engineering ◦ IT governance ◦ eGovernment ◦ Autonomous and smart systems (smart city management, smart vehicles, etc.) ◦ IS for healthcare ◦ Educational Systems and Learning Analytics ◦ Value and supply chain management ◦ Industry 4.0 ◦ Sustainability and social responsibility management ◦ Privacy, security, trust, and safety management ◦ IS in the post-COVID world Submit your paper using the Easy Chair link: https://easychair.org/conferences/?conf=caise2024 . IMPORTANT DATES • Abstract Submission: 1st December 2023 (AoE, extended and firm) • Paper Submission: 8th December 2023 (AoE, extended and firm) • Notification of Acceptance: 23rd February 2024 • Camera-ready Papers: 5th April 2024 • Author registration: 5th April 2024 ORGANISATION General Chairs • Haris Mouratidis, University of Essex, UK • Pnina Soffer, University of Haifa, Israel Local Organizing and Finance Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Giancarlo Guizzardi, University of Twente, The Netherlands • Flavia Maria Santoro, University of the State of Rio de Janeiro, Brazil Other Committee Members https://cyprusconferences.org/caise2024/committees/

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SEPLN: Deadline extension from 1st to 15th December
by aitziber.atucha＠ehu.eus 29 Nov '23

29 Nov '23

[Spanish version below] Please consider contributing and/or forwarding to appropriate colleagues and groups. *******We apologize for the multiple copies of this e-mail****** SEPLN: CFP Deadline extension from 1st to 15th December for the issue 72 of the Journal Procesamiento del Lenguaje Natural http://www.sepln.org/en/journal http://www.sepln.org/en/journal/author-guidelines Introduction The aim of the journal Procesamiento del Lenguaje Natural is to provide a forum for the publication of scientific-technical articles in the field of Natural Language Processing (NLP), for both the national and international scientific community. The articles must be unpublished and cannot be simultaneously submitted for publication in other journals or conference proceedings. The journal also aims to promote the development of areas related to NLP, disseminate research carried out, identify future guidelines for basic research, and present software applications in this field. Every year the Sociedad Española de Procesamiento del Lenguaje Natural (SEPLN) (Spanish Society for the Natural Language Processing) publishes two issues of the journal, including original articles, presentations of R&D projects, book reviews and summaries of PhD theses. The scientific quality of the Journal is supported by the 2022 JCR index (JCI: 0.31, Q4-Linguistics - ESCI), the SCImago Journal Ranking (2022 SJR: 0.421, Q3-Computer Science Applications, Q1-Linguistics and Language), the Scopus Index (2022 CiteScore: 2.9, Q3-Computer Science Applications, Q1-Linguistics and Language) and the index SNIP (Source Normalized Impact per Paper) with 0.93 points. More information at: http://www.sepln.org/en/journal/quality. Topics Linguistic, mathematical and psycholinguistic models of language Machine learning in NLP Computational lexicography and terminology Corpus linguistics Development of linguistic resources and tools Grammars and formalisms for morphological and syntactic analysis Semantics, pragmatics and discourse Word sense disambiguation Monolingual and multilingual text generation Machine translation Knowledge and common sense Multimodality Speech synthesis and recognition Dialogue systems and interactive systems/ Conversational assistants Audio indexing and retrieval Monolingual and multilingual information extraction and retrieval Question answering systems Evaluation of NLP systems Automatic textual content analysis Sentiment analysis, opinion mining and argument mining Plagiarism detection Negation and speculation processing Text mining in blogosphere and social networks Text summarization Text simplification Image retrieval NLP in biomedical domain NLP-based generation of teaching resources NLP for languages with limited resources NLP industrial applications Low-resource NLP tasks, data augmentation Submission Information The proposal must be submitted by December 15th, 2023 and must meet certain format and style requirements. All submissions must be in PDF format and submitted electronically using the Myreview system available at: http://myreview.sepln.org/myreview-sepln72 Submitted papers will be subjected to a blind review by at least three members of the program committee. Categories of papers Regular papers with original contributions. Summary of PhD thesis. Information for Authors The proposals can be written in Spanish or English and should be at most 10 A4-size pages of content, plus unlimited pages for references, and 4 pages maximum for summaries of PhD theses. The papers must include the following sections: The title of the communication (in English and Spanish). An abstract in English and Spanish (maximum 150 words). A list of keywords or related topics (in English and Spanish). The documents must not include headers or footers. As reviewing will be blind, the paper should not include the authors’ names and affiliation. Furthermore, self-references that reveal the author’s identity should be avoided. The articles should only include the title, the abstract, the keywords and the proposal. We recommend using the LaTeX and Word templates that can be downloaded from the SEPLN web (author guidelines have been updated): http://www.sepln.org/index.php/en/journal/author-guidelines Note on camera ready The final version of the paper (camera ready) should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper. Preprint policy The Journal allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper it is “under review” in the Journal Procesamiento del Lenguaje Natural. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper. Important dates Submission deadline: 15th December 2023 Notification of acceptance: 5th February 2024 Camera ready: 12th February 2024 Publication: March 2024 Contact person: Aitziber Atutxa (aitziber.atucha(a)ehu.eus) Editorial Committee of the Procesamiento del Lenguaje Natural -------------------------------------------------------------------------------------------------------------------- ***********Disculpen si reciben varias copias de este mensaje ************ Por favor, si lo considera oportuno, distribuya este llamamiento entre sus colegas. SEPLN: Extensión de entrega del 1 al 15 de Diciembre de artículos para la revista Procesamiento del Lenguaje Natural nº 72. http://www.sepln.org/la-revista http://www.sepln.org/la-revista/informacion-para-autores Objetivos de la revista La revista Procesamiento del Lenguaje Natural es un foro de publicación de artículos científico-técnicos en el ámbito del Procesamiento del Lenguaje Natural (PLN), tanto para la comunidad científica nacional como internacional. Los artículos tienen que ser inéditos y no haber sido postulados para ser publicados simultáneamente en otras revistas o actas de congresos. La revista quiere potenciar el desarrollo de las diferentes áreas relacionadas con el PLN, mejorar la divulgación de las investigaciones que se llevan a cabo, identificar las futuras directrices de la investigación básica y mostrar las posibilidades reales de aplicación en este campo. Anualmente la SEPLN (Sociedad Española para el Procesamiento del Lenguaje Natural) publica dos números de la revista, que incluyen artículos originales, presentaciones de proyectos, reseñas bibliográficas y resúmenes de tesis doctorales. La calidad científica de la Revista está respaldada por el índice del JCR 2022 (JCI: 0,31, Q4-Linguistics - ESCI), el índice SCImago Journal Ranking (SJR: 0,421, Q3-Computer Science Applications, Q1-Linguistics and Language), el índice de Scopus (CiteScore: 2,9, Q3-Computer Science Applications, Q1-Linguistics and Language) y el índice SNIP (Source Normalized Impact per Paper) con 0,93 puntos. Más información en http://www.sepln.org/la-revista/calidad. Áreas temáticas Modelos de lenguaje matemáticos y psicolingüísticos Aprendizaje automático en PLN Lexicografía y terminología computacional Lingüística de corpus Desarrollo de recursos y herramientas lingüísticas Gramáticas y formalismos para análisis morfológico y sintáctico Semántica, pragmática y discurso Resolución de ambigüedad léxico-semántica Generación de texto monolingüe y multilingüe Traducción automática Multimodalidad Reconocimiento y síntesis de habla Sistemas de diálogo/ asistentes conversacionales Auto-indexación Recuperación y extracción de información monolingüe y multilingüe Sistemas de búsqueda de respuestas Evaluación de sistemas de PLN Análisis automático de contenido textual Análisis de sentimiento y minería de opiniones Detección de plagio Procesamiento de la negación y la especulación Minería de texto en la blogosfera y las redes sociales Resumen automático de texto Simplificación de texto Recuperación de imágenes Conocimiento y sentido común PLN en el ámbito biomédico Generación de recursos didácticos basada en PLN PLN para lenguas con recursos limitados Aplicaciones industriales del PLN Tratamiento del Lenguaje Hablado Envío de trabajos Las propuestas de trabajos (artículos y resúmenes de tesis) podrán ser enviadas hasta la fecha límite del 15 de diciembre de 2023. El envío y la revisión de las propuestas se realizarán exclusivamente en formato PDF y se gestionarán a través del sistema Myreview: http://myreview.sepln.org/myreview-sepln72. La evaluación de los trabajos pasará por un proceso de revisión ciego realizado como mínimo por tres miembros del consejo asesor de la SEPLN. Tipos de trabajos Artículos sobre contribuciones originales. Reseñas de tesis doctorales. Instrucciones para los Autores Los trabajos pueden estar escritos en español o en inglés y su longitud máxima será de 10 páginas de contenido más un número ilimitado de páginas de referencias para los artículos científicos, y de un máximo de 4 páginas para los resúmenes de tesis. Las propuestas deben contener los siguientes apartados: El título del artículo (en español e inglés). Un resumen en español y un abstract en inglés de un máximo de 150 palabras. Un listado de temas relacionados o palabras clave (en español e inglés). Los documentos no podrán incluir cabeceras ni pies de página. Como la fase de revisión de los trabajos es ciega, en los artículos que se envíen no se debe incluir ninguna referencia a los autores ni referencias propias que revelen la identidad de los mismos. Todas las contribuciones deben contener únicamente el título, el resumen, las palabras claves y la propuesta. En el caso de los resúmenes de tesis, el anonimato no es necesario. Los trabajos deben seguir el formato de las revistas de la SEPLN disponible en la siguiente dirección: http://www.sepln.org/la-revista/informacion-para-autores Las guías se han actualizado, por favor, utilicen las que están disponibles en la página web de la revista. Nota sobre la versión final La versión final del trabajo (camera ready) debe enviarse con un documento en el que se explique cómo se han implementado las sugerencias de los revisores. Dicho documento se tendrá en cuenta para aceptar o rechazar el trabajo en cuestión. Política de prepublicación La revista permite publicar una versión no revisada de los artículos en plataformas de prepublicación (plataformas de artículos no evaluados como ArXiv). Sin embargo, durante el periodo de revisión se debe indicar que el artículo está “en revisión” en la revista Procesamiento del Lenguaje Natural. Si el artículo es aceptado, se debe actualizar la publicación en la plataforma de prepublicación con el DOI, nombre de la revista y la información bibliográfica del artículo. Fechas importantes Envío de trabajos: 15 de diciembre de 2023 Notificación de aceptación o rechazo: 5 de febrero de 2024 Versión final: 12 de febrero de 2024 Publicación: Marzo de 2024 Persona de contacto:Aitziber Atutxa (aitziber.atucha(a)ehu.eus) Consejo de redacción de la revista Procesamiento del Lenguaje Natural.

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NBME Summer Internships in Psychometrics and Data Science
by Christopher Runyon 28 Nov '23

28 Nov '23

NBME (National Board of Medical Examiners) Summer 2024 Internships in Psychometrics and Data Science June 3 - July 26, 2024 NBME invites applications for multiple full-time internship positions, all fully remote, for the Summer of 2024 (June 3 - July 26, 2024). Interns will interact with NBME staff and other graduate students and present completed projects or work-in-progress to NBME staff. The expected deliverables from the summer internship project are an internal research presentation, a conference submission/presentation (ACL, AERA, NCME, AAMC, etc.), and/or a paper submitted for publication. The application deadline is Wednesday, January 31, 2024, at midnight PST. More details can be found here: https://nbme.applicantpro.com/jobs/3142558<https://urldefense.com/v3/__https:/nbme.applicantpro.com/jobs/3142558__;!!P…>. Compensation The pay is $45 an hour. Total stipend for full-time interns (35 hours per week) is $12,600. In addition, NBME will provide up to $1000 toward attending a conference for interns; this is not conditional on presenting at the conference. If you have any questions or need additional information, please contact Chris Runyon: CRunyon(a)nbme.org<mailto:CRunyon@nbme.org> This email message and any attachments may contain privileged and/or confidential business information and are for the sole use of the intended recipient(s). Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please notify the sender immediately by reply email and destroy all copies of the original message and any attachments.

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Reader (~Associate Professor) in AI at the University of Wolverhampton
by Ingo Frommholz 28 Nov '23

28 Nov '23

The University of Wolverhampton (UOW) in the UK is hiring a Reader (Associate Professor equivalent) in Artificial Intelligence (AI). An exciting opportunity has arisen to join UOW as a Reader in Artificial Intelligence. The School of Engineering, Computing and Mathematical Sciences is a large interdisciplinary centre for education, research, and enterprise. We are looking for an experienced researcher to help lead, drive, and advance research and knowledge exchange activities in Artificial Intelligence. This job is a permanent position. Further information and the application form can be found at https://jobs.wlv.ac.uk/vacancy/reader-in-artificial-intelligence-541125.html. -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science ACM CIKM 2023 General Chair Head of Data, AI, Interaction, Retrieval and Language Group http://dairel.org Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Twitter: @iFromm | Mastodon: @ingo@idf.social PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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Senior Scientist position in Digital Humanities at the University of Vienna
by benjamin.roth＠univie.ac.at 28 Nov '23

28 Nov '23

The University of Vienna is looking to fill the position of a Senior Scientist in the area of Digital Humanities. Please find the full job posting here: English: https://jobs.univie.ac.at/job/Senior-Scientist-at-the-Institute-for-Europea… German: https://jobs.univie.ac.at/job/Senior-Scientist-am-Institut-f%C3%BCr-Europ%C… For further inquiries, please contact Benjamin Roth (benjamin.roth(a)univie.ac.at) -- Univ.-Prof. Dr. Benjamin Roth Digitale Textwissenschaften Universität Wien Kolingasse 14 Raum 5.17 1090 Wien email: benjamin.roth(a)univie.ac.at tel: +43 14277 79513 virtual coffee (Tuesday 2pm CEST): https://www.benjaminroth.net/virtual_coffee video call: https://univienna.zoom.us/j/93796507934?pwd=VFg5dW9JbStPUml6WFVtOWJXV3phQT09 web: https://dm.cs.univie.ac.at/team/person/112089/

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CFP - NLDB 2024 - The 29th International Conference on Natural Language & Information Systems
by federico.torrielli＠unito.it 27 Nov '23

27 Nov '23

* We apologize if you receive multiple copies of this CFP * For the online version of this Call, visit: https://nldb2024.di.unito.it/submissions/ =============== NLDB 2024 The 29th International Conference on Natural Language & Information Systems 25-27 June 2024, University of Turin, Italy. Website: https://nldb2024.di.unito.it/ Submission deadline: 22 March, 2024 About NLDB The 29th International Conference on Natural Language & Information Systems will be held at the University of Turin, Italy, and will be a face to face event. Since 1995, the NLDB conference brings together researchers, industry practitioners, and potential users interested in various applications of Natural Language in the Database and Information Systems field. The term "Information Systems" has to be considered in the broader sense of Information and Communication Systems, including Big Data, Linked Data and Social Networks. The field of Natural Language Processing (NLP) has itself recently experienced several exciting developments. In research, these developments have been reflected in the emergence of Large Language Modelsand the importance of aspects such as transparency, bias and fairness, Large Multimodal Models and the connection of the NLP field with Computer Vision, chatbots and dialogue-based pipelines. Regarding applications, NLP systems have evolved to the point that they now offer real-life, tangible benefits to enterprises. Many of these NLP systems are now considered a de-facto offering in business intelligence suites, such as algorithms for recommender systems and opinion mining/sentiment analysis. Language models developed by the open-source community have become widespread and commonly used. Businesses are now readily adopting these technologies, thanks to the efforts of the open-source community. For example, fine-tuning a language model on a company’s own dataset is now easy and convenient, using modules created by thousands of academic researchers and industry experts. It is against this backdrop of recent innovations in NLP and its applications in information systems that the 29th edition of the NLDB conference takes place. We welcome research and industrial contributions, describing novel, previously unpublished works on NLP and its applications across a plethora of topics as described in the Call for Papers. Call for Papers: NLDB 2024 invites authors to submit papers on unpublished research that addresses theoretical aspects, algorithms, applications, architectures for applied and integrated NLP, resources for applied NLP, and other aspects of NLP, as well as survey and discussion papers. This year's edition of NLDB continues with the Industry Track to foster fruitful interaction between the industry and the research community. Topics of interest include but are not limited to: * Large Language Models: training, applications, transfer learning, interpretability of large language models. * Multimodal Models: Integration of text with other modalities like images, video, and audio; multimodal representation learning; applications of multimodal models. * AI Safety and ethics: Safe and ethical use of Generative AI and NLP; avoiding and mitigating biases in NLP models and systems; explainability and transparency in AI. * Natural Language Interfaces and Interaction: design and implementation of Natural Language Interfaces, user studies with human participants on Conversational User Interfaces, chatbots and LLM-based chatbots and their interaction with users. * Social Media and Web Analytics: Opinion mining/sentiment analysis, irony/sarcasm detection; detection of fake reviews and deceptive language; detection of harmful information: fake news and hate speech; sexism and misogyny; detection of mental health disorders; identification of stereotypes and social biases; robust NLP methods for sparse, ill-formed texts; recommendation systems. * Deep Learning and eXplainable Artificial Intelligence (XAI): Deep learning architectures, word embeddings, transparency, interpretability, fairness, debiasing, ethics. * Argumentation Mining and Applications: Automatic detection of argumentation components and relationships; creation of resource (e.g. annotated corpora, treebanks and parsers); Integration of NLP techniques with formal, abstract argumentation structures; Argumentation Mining from legal texts and scientific articles. * Question Answering (QA): Natural language interfaces to databases, QA using web data, multi-lingual QA, non-factoid QA(how/why/opinion questions, lists), geographical QA, QA corpora and training sets, QA over linked data (QALD). * Corpus Analysis: multi-lingual, multi-cultural and multi-modal corpora; machine translation, text analysis, text classification and clustering; language identification; plagiarism detection; information extraction: named entity, extraction of events, terms and semantic relationships. * Semantic Web, Open Linked Data, and Ontologies: Ontology learning and alignment, ontology population, ontology evaluation, querying ontologies and linked data, semantic tagging and classification, ontology-driven NLP, ontology-driven systems integration. * Natural Language in Conceptual Modelling: Analysis of natural language descriptions, NLP in requirement engineering, terminological ontologies, consistency checking, metadata creation and harvesting. * Natural Language and Ubiquitous Computing: Pervasive computing, embedded, robotic and mobile applications; conversational agents; NLP techniques for Internet of Things (IoT); NLP techniques for ambient intelligence * Big Data and Business Intelligence: Identity detection, semantic data cleaning, summarisation, reporting, and data to text. Important Dates: Full paper submission: 22 March, 2024 Paper notification: 19 April, 2024 Camera-ready deadline: 26 April, 2024 Conference: 25-27 June 2024 Submission Guidelines: Authors should follow the LNCS format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… ) and submit their manuscripts in pdf via Easychair (submission will open on 1 February, 2024) Papers can be submitted to either the main conference or the industry track. Submissions can be full papers (up to 15 pages including references and appendices), short papers (up to 11 pages including references and appendices) or papers for a poster presentation or system demonstration (6 pages including references). The programme committee may decide to accept some full papers as short papers or poster papers. All questions about submissions should be emailed to federico.torrielli(a)unito.it (Web & Publicity Chair) General Chairs: Luigi Di Caro, University of Turin Farid Meziane, University of Derby Amon Rapp, University of Turin Vijayan Sugumaran, Oakland University

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Internship offers for M2: Robust Dialogue State Tracking for Dialog Management in Conversational AI and Data Augmentation for Low Resource Slot Filling and Intent Classification
by Tulika Bose 27 Nov '23

27 Nov '23

Dear Colleagues, Please find below the description of two internship positions for 2nd year Masters (M2) students at the voice technology startup Vivoka located in Metz, France. The typical duration of the internship is around 5-6 months starting from March 2024. *About Vivoka* Founded in 2015 and awarded two CES Innovation Awards, Vivoka <https://vivoka.com/en/> has created and sells the Voice Development Kit (VDK), the very first solution allowing a company to design a voice interface in a simple, autonomous, and quick way. Moreover, this interface is embedded: it can be deployed on devices without an Internet connection and fully preserves privacy. Accelerated by the COVID-19 health crisis and the need for "no-touch" interfaces, Vivoka is now optimizing this technology by developing its own speech and language processing solutions that are able to compete with the most efficient current technologies. The internship would be carried out as part of Vivoka's R&D team. The interns will benefit from the startup spirit of Vivoka, where they will interact with the researchers and Ph.D. students of the R&D team, and the engineers responsible for integrating their results into the VDK. Internship Requirements: - M2 in Computer Science with a specialization in Machine Learning (ML) or Natural Language Processing (NLP) - Prior knowledge and/or experience with ML/NLP. - Experience with Python programming and frameworks like PyTorch. *1. Robust Dialogue State Tracking for Dialog Management in Conversational AI * Context Conversational systems improve user experience by steering interactions to understand users’ needs and respond by providing informed answers, assistance, invoking services, etc. Unlike non-task-oriented dialogue systems that focus on open-domain conversations, such as chit-chats, task-oriented conversational systems enable users to accomplish certain tasks using the information provided during conversations. One of the critical aspects of conversational systems is the design of dialogue management that allows robust, intelligent, engaging conversations [1, 2, 3]. The focus of this internship is dialogue management in task-oriented conversational systems. In task-oriented dialogue systems, the dialogue state is the component of a dialogue manager that serves as a summary of the entire conversation up to the present turn. It maintains all the essential information that the system needs to give informed responses to the user’s queries. This information comprises mainly the user’s intents (e.g. flight_booking), slots, i.e. information needed to fulfill the intent (e.g. departure and arrival cities), and dialogue acts, i.e. hidden actions in user utterances to indicate their specific communicative function (e.g. request, statement, etc.) [3]. The dialogue states are estimated and tracked by the Dialogue State Tracking (DST) model [4]. Based on the dialogue states, the conversational agent generates subsequent actions to sustain the ongoing conversation. In real-world conversations, the range of potential values for slots is often dynamic and unbounded, such as movie_titles or usernames. Consequently, in recent years, there has been an active focus on open-vocabulary approaches to DST [3]. These approaches involve estimating the possible values for slots from the ongoing conversation and language understanding results, without relying on a predefined set of categories. This research area represents a critical advancement toward DST with zero-shot generalization, which means that adding new intents and slots can be achieved without the need for collecting new data or extensive retraining. This internship aims to explore dialogue management in conversational systems with a particular focus on robust DST approaches that can achieve few-shot or zero-shot generalization. In real use cases, the disfluent nature of spontaneous conversations poses an additional set of challenges for Dialogue Management. The internship will focus on the challenges that are encountered while building robust task-oriented DST approaches meant for real-world applications of conversational systems. Objectives and Expected Outcomes: - Perform a literature review of Dialogue Management - Implement a state-of-the-art Dialogue State Tracking approach in PyTorch - Improve the implemented DST approach to perform few/zero-shot generalization - Perform experiments to examine the challenges with real-world conversations for dialogue management - Perform experiments to examine the generalizability of the implemented DST approach *References:* 1. M. McTear, Z. Callejas, and D. Griol, “The Conversational Interface: Talking to Smart Devices <https://link.springer.com/book/10.1007/978-3-319-32967-3>”, 1st ed. Springer Publishing Company, Incorporated, 2016. 2. Z. Zhang, M. Huang, Z. Zhao, F. Ji, H. Chen, and X. Zhu, “Memory- augmented dialogue management for task-oriented dialogue systems <https://dl.acm.org/doi/abs/10.1145/3317612>,” ACM Transactions on Information Systems (TOIS), 2019. 3. H. Brabra, M. Báez, B. Benatallah, W. Gaaloul, S. Bouguelia and S. Zamanirad, “Dialogue Management in Conversational Systems: A Review of Approaches, Challenges, and Opportunities <https://ieeexplore.ieee.org/document/9447005>,” in IEEE Transactions on Cognitive and Developmental Systems, vol. 14, no. 3, pp. 783-798, 2022 4. Jason Williams, Antoine Raux, Deepak Ramachandran, and Alan Black. 2013. “The Dialog State Tracking Challenge <https://aclanthology.org/W13-4065/>”. In Proceedings of the SIGDIAL 2013 Conference, pages 404–413, Association for Computational Linguistics, 2013. *2.* *Data Augmentation for Low Resource Slot Filling and Intent Classification* Context: Neural-based models have achieved outstanding performance on slot and intent classification when fairly large in-domain training data is available. However, as new domains are frequently added, creating sizable data is expensive. Some approaches [1, 2] suggest a set of augmentation methods involving word span and sentence level operations, alleviating data scarcity problems. We target more complex state-of-the-art augmentation approaches that allow models to achieve competitive performance on small (English and French) data. Furthermore, we will investigate the exploitation of pretrained Large Language Models such as [3] for data augmentation, and how it can affect slot filling and intent classification performance for those languages. Objectives and Expected Outcomes: - Experiments on low and large resource data - Implement different approaches to augment data for slot filling and intent classification - Evaluate the quality of the generated data - Evaluate the effect of data augmentation on slot filling and intent classification - Integrate the tool into our NLU system - Develop a Python module for Data Augmentation dedicated to the task - Evaluate the module on several real use cases. References: 1. Jason W. Wei and Kai Zou. 2019. "EDA: easy data augmentation techniques for boosting performance on text classification tasks <https://aclanthology.org/D19-1670/>". In Kentaro Inui, Jing Jiang, Vincent Ng, and Xiaojun Wan, editors, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, pages 6381–6387. Association for Computational Linguistics 2. Marzieh Fadaee, Arianna Bisazza, and Christof Monz. 2017. "Data augmentation for low-resource neural machine translation <https://aclanthology.org/P17-2090/>". In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 567–573, Vancouver, Canada, July. Association for Computational Linguistic 3. Ray, Partha Pratim. "ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. <https://www.sciencedirect.com/science/article/pii/S266734522300024X>" Internet of Things and Cyber-Physical Systems (2023). Please submit your applications to tulika.bose(a)vivoka.com or firas.hmida(a)vivoka.com. Please feel free to share this call for applications with any interested students. Best Regards, Tulika Bose AI Researcher Vivoka

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CAiSE'24 Forum: First Call for Papers and Tool Demonstrations
by Announce 26 Nov '23

26 Nov '23

*** CAiSE'24 Forum: First Call for Papers and Tool Demonstrations *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: March 4, 2024 AoE ***) The CAiSE Forum is a space within the CAiSE conference to present and discuss the new exciting ideas and tools related to Information Systems Engineering. The Forum intends to serve as an interactive platform, encourage potential authors to present emerging topics and controversial positions, and demonstrate innovative systems, tools, and applications. The Forum sessions at the CAiSE conference will facilitate the interaction, discussion, and exchange of ideas among presenters and participants. Contributions to the CAiSE'24 Forum are welcome to address any of the CAiSE'24 conference topics and, particularly, this year's theme—Information Systems in the Age of Artificial Intelligence. We invite two types of submissions: • Visionary papers present innovative research projects, which are still at a relatively early stage and do not necessarily include a full-scale validation. Visionary papers will be presented as posters in the Forum. • Demo papers describe innovative tools and prototypes that implement the results of research efforts. The tools and prototypes will be presented as demos in the Forum, accompanied by a poster. Both visionary papers and demo papers must not exceed 8 pages in LNCS format. See authors' guidelines at the Springer site: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… . Papers should be submitted in PDF format through the conference management system available at Easy Chair (https://easychair.org/my/conference?conf=caise2024) and select the Forum option. The submitted papers must be unpublished and must not be under review elsewhere. PUBLICATION AND PRESENTATIONS Accepted papers will be published by Springer in a CAISE Forum proceedings volume within the Lecture Notes in Business Information Processing (LNBIP) series (https://www.springer.com/series/7911). Authors should consult Springer's authors guidelines and use their LaTeX or Word proceedings templates for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. It is expected that at least one of the authors attends CAiSE'24, presents the poster/delivers the demo, and interacts with the Forum participants. We also envision a short oral presentation for all papers to attract participants to the posters. IMPORTANT DATES • Paper Submission Deadline: 4th March, 2024 (AoE) • Notification of Acceptance: 1st April, 2024 • Camera-ready Deadline: 8th April, 2024 • Author Registration Deadline: 8th April, 2024 FORUM CHAIRS • Shareeful Islam, Anglia Ruskin University, United Kingdom • Arnon Sturm, Ben-Gurion University of the Negev, Israel FORUM COMMITTEE • Steven Alter, University of San Francisco • Abel Armas Cervantes, The University of Melbourne • Giuseppe Berio, Université de Bretagne Sud and IRISA UMR 6074 • Drazen Brdjanin, University of Banja Luka • Corentin Burnay, University of Namur • Cinzia Cappiello, Politecnico di Milano • Suphamit Chittayasothorn, King Mongkut's Institute of Technology Ladkrabang • Maya Daneva, University of Twente • Sergio de Cesare, University of Westminster • Johannes De Smedt, KU Leuven • Marne de Vries, University of Pretoria • Michael Fellmann, University of Rostock • Christophe Feltus, Luxembourg Institute of Science and Technology • Hans-Georg Fill, University of Fribourg • Janis Grabis, Riga Technical University • Sergio Guerreiro, INESC-ID / Instituto Superior Técnico • Martin Henkel, Stockholm University • Jennifer Horkoff, Chalmers University of Technology • Shareeful Islam, Anglia Ruskin University • Janis Kampars, RTU • Evangelia Kavakli, University of the Aegean • Marite Kirikova, Riga Technical University • Janne J. Korhonen, Aalto University • Elena Kornyshova, CNAM • Agnes Koschmider, University of Bayreuth • Chung Lawrence, University of Texas at Dallas • Henrik Leopold, Kühne Logistics University • Tong Li, Beijing University of Technology • Beatriz Marín, Universidad Politecnica de Valencia • Andrea Marrella, Sapienza University of Rome • Raimundas Matulevicius, University of Tartu • Jose Ignacio Panach Navarrete, Universitat de València • Oscar Pastor, Universidad Politécnica de Valencia • Francisca Pérez, Universidad San Jorge • Pierluigi Plebani, Politecnico di Milano • Manuel Resinas, University of Seville • Genaina Rodrigues, University of Brasilia • Ben Roelens , Open Universiteit, Ghent University • Mattia Salnitri, Politecnico di Milano • Stefan Strecker, University of Hagen • Arnon Sturm, Ben-Gurion University of the Negev • Irene Vanderfeesten, Katholieke Universiteit Leuven • Yves Wautelet, Katholieke Universiteit Leuven • Hans Weigand, Tilburg University • Manuel Wimmer, Johannes Kepler University Linz • Anna Zamansky, University of Haifa

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TOC: Journal of Language Modelling 11(1)
by Adam Przepiórkowski 26 Nov '23

26 Nov '23

It is our pleasure to announce the publication of issue 11(1) of the Journal of Language Modelling (JLM), a free open-access peer-reviewed journal aiming to bridge the gap between theoretical, formal and computational linguistics: http://jlm.ipipan.waw.pl/ (see “CURRENT” or “ALL ISSUES”). The direct persistent link to this issue is: http://jlm.ipipan.waw.pl/index.php/JLM/issue/view/29. JLM is indexed by SCOPUS, ERIH PLUS, DBLP, DOAJ, etc., and it is a member of OASPA. TABLE OF CONTENTS: “On regular copying languages” Yang Wang, Tim Hunter 1–66 “Evaluating syntactic proposals using minimalist grammars and minimum description length” Marina Ermolaeva 67–119 “An algebraic approach to translating Japanese” Valentin Boboc 121–146 “We thought the eyes of coreference were shut to multiword expressions and they mostly are” Agata Savary, Jianying Liu, Anaëlle Pierredon, Jean-Yves Antoine, Loïc Grobol 147–187 The current make-up of the JLM Editorial Board is enclosed below. Best regards, Adam Przepiórkowski (JLM Editor-in-Chief) ====================================================================== EDITORIAL BOARD: Steven Abney, University of Michigan, USA Ash Asudeh, University of Rochester, USA Chris Biemann, Universität Hamburg, GERMANY Igor Boguslavsky, Technical University of Madrid, SPAIN; Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, RUSSIA António Branco, University of Lisbon, PORTUGAL David Chiang, University of Southern California, Los Angeles, USA Greville Corbett, University of Surrey, UNITED KINGDOM Dan Cristea, University of Iași, ROMANIA Jan Daciuk, Gdańsk University of Technology, POLAND Mary Dalrymple, University of Oxford, UNITED KINGDOM Darja Fišer, University of Ljubljana, SLOVENIA Anette Frank, Universität Heidelberg, GERMANY Claire Gardent, CNRS/LORIA, Nancy, FRANCE Jonathan Ginzburg, Université Paris-Diderot, FRANCE Stefan Th. Gries, University of California, Santa Barbara, USA Heiki-Jaan Kaalep, University of Tartu, ESTONIA Laura Kallmeyer, Heinrich-Heine-Universität Düsseldorf, GERMANY Jong-Bok Kim, Kyung Hee University, Seoul, KOREA Kimmo Koskenniemi, University of Helsinki, FINLAND Jonas Kuhn, Universität Stuttgart, GERMANY Alessandro Lenci, University of Pisa, ITALY Ján Mačutek, Comenius University in Bratislava, SLOVAKIA Igor Mel’čuk, University of Montreal, CANADA Glyn Morrill, Technical University of Catalonia, Barcelona, SPAIN Stefan Müller, Humboldt Universität zu Berlin, GERMANY Mark-Jan Nederhof, University of St Andrews, UNITED KINGDOM Petya Osenova, Sofia University, BULGARIA David Pesetsky, Massachusetts Institute of Technology, USA Maciej Piasecki, Wrocław University of Technology, POLAND Christopher Potts, Stanford University, USA Louisa Sadler, University of Essex, UNITED KINGDOM Agata Savary, Université François Rabelais Tours, FRANCE Sabine Schulte im Walde, Universität Stuttgart, GERMANY Stuart M. Shieber, Harvard University, USA Mark Steedman, University of Edinburgh, UNITED KINGDOM Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa, CANADA Shravan Vasishth, Universität Potsdam, GERMANY Zygmunt Vetulani, Adam Mickiewicz University, Poznań, POLAND Aline Villavicencio, Federal University of Rio Grande do Sul, Porto Alegre, BRAZIL Veronika Vincze, University of Szeged, HUNGARY Shuly Wintner, University of Haifa, ISRAEL Zdeněk Žabokrtský, Charles University in Prague, CZECH REPUBLIC ====================================================================== Adam Przepiórkowski ˈadam ˌpʃɛpjurˈkɔfskʲi http://clip.ipipan.waw.pl/ ____ Computational Linguistics in Poland http://jlm.ipipan.waw.pl/ ___________ Journal of Language Modelling http://zil.ipipan.waw.pl/ ____________ Linguistic Engineering Group http://nkjp.pl/ _________________________ National Corpus of Polish

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Submission Deadline Extended | AAAI Workshop on Responsible Language Models (ReML) | December 1, 2023
by faizakhankhattak＠gmail.com 25 Nov '23

25 Nov '23

Dear colleagues, ******Due to several requests, the submission deadline has been extended until December 1, 2023.*********** AAAI Workshop on Responsible Language Model (ReLM) 2024 organizers invite you to submit your research. **Submission deadline: December 1, 2023** More info can be found on the Workshop website: https://sites.google.com/vectorinstitute.ai/relm2024/home The Responsible Language Models (ReLM) workshop focuses on both the theoretical and practical challenges related to the design and deployment of responsible Language Models (LMs) and will have strong multidisciplinary components, promoting dialogue and collaboration in order to develop more trustworthy and inclusive technology. We invite discussions and research on key topics such as bias identification & quantification, bias mitigation, transparency, privacy & security issues, hallucination, uncertainty quantification, and various other risks in LMs. Topics: We are interested, but not limited to the following topics: explainability and interpretability techniques for different LLMs training paradigms; privacy, security, data protection and consent issues for LLMs; bias and fairness quantification, identification, mitigation and trade-offs for LLMs; robustness, generalization and shortcut learning analysis and mitigation for LLMs; uncertainty quantification and benchmarks for LLMs; ethical AI principles, guidelines, dilemmas and governance for responsible LLM development and deployment. ReLM 2024 | 26 February 2024 | Vancouver, Canada Looking forward to your submissions, Organizing committee of ReLM 2024 relm.aaai2024(a)gmail.com

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Workshop on the Scaling Behavior of Large Language Models
by Shay Cohen 24 Nov '23

24 Nov '23

(Apologies for cross-posting) Second Call for Papers for the WORKSHOP ON THE SCALING BEHAVIOR OF LARGE LANGUAGE MODELS (SCALE-LLM 2024) https://scale-llm-24.pages.dev/ [1] Submission deadline: December 18, 2023. The purpose of the SCALE-LLM workshop is to provide a venue to share and discuss results of investigations into the scaling behavior of Large Language Models (LLMs). We are particularly interested in results displaying "interesting" scaling curves (e.g., inverse, u-shaped, or inverse u-shaped scaling curves) for a variety of tasks. These results, where the performance of the LLMs decreases with increasing model size or follows a non-monotonic trend, deviating from the expected "the bigger, the better" positive scaling laws, are of great scientific interest as they can reveal intrinsic limitations of current LLM architectures and training paradigms and they provide novel research directions towards a better understanding of these models and of possible approaches to improve them. Recently, there has been an increasing interest in these phenomena from the research community, culminating in the Inverse Scaling Prize (McKenzie et al. 2023), which solicited tasks to be systematically evaluated according to a standardized protocol in order to perform a systematic study. The SCALE-LLM Workshop will expand these efforts. In contrast to the Inverse Scaling Prize, which focused on zero-shot tasks with a fixed format, we are also interested in, for example, few-shot and alternate prompting strategies (e.g. Chain-of-Thoughts), multi-step interactions (e.g. Tree-of-Thoughts, self-critique), hardening against prompt injection attacks (e.g. user input escaping, canary tokens), etc. MAIN TOPICS The workshop will provide focused discussions on multiple topics in the general field of Scaling behavior of Large Language Models, including, but not limited to the following: 1. Novel tasks that exhibit Inverse, U-shaped, Inverse U-shaped or other types of scaling; 2. Scaling behavior of fine-tuned or purpose-built models, in particular in-distribution (w.r.t. the fine-tuning dataset) vs. out-of-distribution; 3. Scaling with adaptive prompting strategies, e.g. allowing intermediate reasoning steps, model self-critique or use of external tools; 4. Scaling w.r.t. additional dimensions, such as the number of in-context/fine-tuning examples, the number of easoning steps, or the intrinsic task complexity; 5. Scaling on non-English language tasks, in particular low-resource languages, where models might exhibit tradeoffs as high-resource language training data overwhelms low-resource language capabilities; 6. Scaling w.r.t. qualitative characteristics: internal aspects (e.g. modularity, mechanistic interpretability), calibration, uncertainty, effectiveness of various techniques (pruning, defences against adversarial attacks, etc.). IMPORTANT DATES - Workshop paper submission deadline: December 18, 2023 - EACL rejected paper submission deadline (ARR pre-reviewed): January 17, 2024 - Notification of acceptance: January 20, 2024 - Camera-ready papers due: January 30 2024 - Workshop dates: March 21 or 22, 2024 SUBMISSION INSTRUCTIONS We solicit short and long paper submissions with no more than 4 and 8 pages, respectively, plus unlimited pages for references and appendices. Papers must contain "Limitations" and "Ethics Statement" sections which will not count towards the page limit. Upon acceptance, one additional page will be provided to address the reviewers' comments. Paper submissions must use the official ACL style templates (https://github.com/acl-org/acl-style-files [2]) and must follow the ACL formatting guidelines (https://acl-org.github.io/ACLPUB/formatting.html [3]). All submissions must be anonymous. De-anonymized versions of the submitted papers may be released on pre-print servers such as arXiv, however, we kindly ask the authors not discuss these papers on social media during the review period. Please, send your submissions to our OpenReview interface: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/SCALE-LLM [4] We can also consider papers submitted via ACL Rolling Reviews (ARR) to EACL and rejected. A paper may not be simultaneously under review through ARR and SCALE-LLM. A paper that has or will receive reviews through ARR may not be submitted for review to SCALE-LLM. Keep in mind that ARR has stricter anonymity requirements regarding pre-print servers and social media, so make sure you do not de-anonymize papers submitted through ARR by posting them on arXiv or social media. Please refer to the ARR instructions for autors (https://aclrollingreview.org/authors [5]) for more information. STUDENT SCHOLARSHIP Thanks to our Platinum sponsor Google, we can offer financial support to a limited number of students from low-income countries or other disadvantaged financial situation who would like to participate to the SCALE-LLM workshop. We may able to cover the EACL virtual conference registration fee. We will prioritize students who are authors of one of the accepted papers. If you are interested in receiving financial support, please contact us before January 30 2024, explaning your situation. INVITED SPEAKERS Najoung Kim will give a keynote talk. Dr. Kim is an Assistant Professor at Boston University and a researcher at Google. She is one of the authors of the Inverse Scaling Prize paper as well as other foundational works in this field. Additional speakers will be announced at a later date. SCHEDULE To be decided. ORGANIZING COMMITTEE - Antonio Valerio Miceli-Barone, Research Associate, University of Edinburgh - Fazl Barez, Research fellow, University of Oxford - Shay Cohen, Reader, University of Edinburgh - Elena Voita, Research Scientist, Meta - Ulrich Germann, Senior Computing Officer (Research), University of Edinburgh - Michal Lukasik, Researcher, Google Research CONTACTS Workshop website: https://scale-llm-24.pages.dev/ [6] Email: amiceli [at] ed.ac.uk Best Regards, The SCALE-LLM organizers Antonio Valerio Miceli-Barone, Fazl Barez, Shay Cohen, Elena Voita, Ulrich Germann, Michal Lukasik Read more: https://www.aclweb.org/portal/content/workshop-scaling-behavior-large-langu… [1] https://scale-llm-24.pages.dev/ [2] https://github.com/acl-org/acl-style-files [3] https://acl-org.github.io/ACLPUB/formatting.html [4] https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/SCALE-LLM [5] https://aclrollingreview.org/authors [6] https://scale-llm-24.pages.dev/ The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): Final Call for Papers
by Announce 24 Nov '23

24 Nov '23

*** Final Call for Papers *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: Abstract: December 1, 2023 AoE; Paper: December 8, 2023 AoE ***) The CAiSE’24 organization calls for full papers with a special emphasis on the theme of Information Systems in the Age of Artificial Intelligence. Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing various industries, and its significance in Information Systems cannot be overstated. AI-powered systems have the potential to streamline operations, enhance decision-making processes, and drive innovation across organizations. From data analysis to automated processes, AI is reshaping the way we leverage information in the digital age. The relevance of AI in IS extends beyond internal operations. AI-powered predictive analytics enables organizations to forecast trends, anticipate customer needs, and optimize resource allocation. This empowers businesses to adapt swiftly to changing market dynamics, gain a competitive edge, and make proactive decisions. AI algorithms can also detect anomalies and patterns that indicate potential security breaches, contributing to robust cybersecurity measures in information systems. However, while acknowledging the benefits, it is essential to consider the ethical implications of AI in information systems. Ensuring data privacy, addressing bias in algorithms, and maintaining transparency are vital aspects that need to be carefully managed and regulated to foster trust and accountability. In addition to offering an exciting scientific program, CAiSE’24 will feature a best paper award, a journal special issue, and a PhD-thesis award: • Best Paper Award‚ prize EUR 1000 (sponsored by Springer) • A small selection of best papers will be invited to submit enhanced versions for consideration in a special issue of Elsevier Information Systems journal dedicated to this conference. • PhD-Thesis Award • Best PhD thesis of a past CAiSE Doctoral Consortium author (co-sponsored by the CAiSE Steering Committee and Springer) Papers should be submitted in PDF format. Submissions must conform to Springer‚ LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. See the guidelines here: https://www.springer.com/comp/lncs/authors.html . The results described must be unpublished and must not be under review elsewhere. Three to five keywords characterizing the paper should be listed at the end of the abstract. Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one additional program board member. The selected papers will be discussed among the paper reviewers online and during the program board meeting. As the review process is not blind, please indicate your name and affiliation on your submission. Accepted papers will be presented at CAiSE’24 and published in the Springer Lecture Notes in Computer Science (LNCS) conference proceedings. We invite three types of original and scientific papers. The type of submission must be indicated in the submission system. Each contribution should explicitly address the engineering or the operation of information systems, clearly identify the information systems problem addressed, the expected impact of the contribution to information system engineering or operation, and the research method used. We strongly advise authors to clearly emphasize these aspects in their paper, including the abstract. Technical papers describe original solutions (theoretical, methodological or conceptual) in the field of IS Engineering. A technical paper should clearly describe the situation or problem tackled, the relevant state of the art, the position or solution suggested and its potential‚ as well as demonstrate the benefits of the contribution through a rigorous evaluation. Empirical papers evaluate existing problem situations including problems encountered in practice, or validate proposed solutions with scientific means, i.e., by empirical studies, experiments, case studies, experience reports, simulations, etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research method must be sound and appropriate. Exploratory papers describe completely new research positions or approaches, in order to face a generic situation arising because of new ICT tools, new kinds of activities, or new IS challenges. They must precisely describe the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness in addressing the identified situation. The topics of contribution include but are not limited to: • Novel Approaches to IS Engineering ◦ Artificial Intelligence and Machine Learning ◦ Robotic Process Automation (RPA) ◦ Big Data, Data Science and Analytics ◦ Blockchain applications in IS ◦ Simulation and Digital Twins  ◦ IS for collaboration and social computing  ◦ Virtual reality / Augmented Reality ◦ Context-aware, autonomous and adaptive IS • Models, Methods and Techniques in IS Engineering ◦ Ontologies and Ontology Engineering ◦ Conceptual modeling, languages and design ◦ Requirements engineering ◦ Process modeling, analysis and improvement ◦ Process automation, mining and monitoring ◦ Models and methods for evolution and reuse ◦ Domain and method engineering ◦ Product lines, variability and configuration management ◦ Compliance and alignment handling ◦ Active and interactive models ◦ Quality of IS models for analysis and design ◦ Visualization techniques in IS ◦ Decision models and business intelligence ◦ Knowledge graphs ◦ Human-centered techniques • Architectures and Platforms for IS Engineering ◦ Distributed, mobile and open architecture ◦ Big Data architectures ◦ Cloud- and edge-based IS engineering ◦ Service oriented and multi-agent IS engineering ◦ Multi-platform IS engineering ◦ Cyber-physical systems and Internet of Things (IoT) ◦ Workflow and Process Aware Information Systems (PAIS) ◦ Handling of real time data streams ◦ Content management and semantic Web ◦ Crowdsourcing platforms ◦ Conversational agents (chatbots) ◦ Microservices design and deployment • Domain-specific and Multi-aspect IS Engineering ◦ IT governance ◦ eGovernment ◦ Autonomous and smart systems (smart city management, smart vehicles, etc.) ◦ IS for healthcare ◦ Educational Systems and Learning Analytics ◦ Value and supply chain management ◦ Industry 4.0 ◦ Sustainability and social responsibility management ◦ Privacy, security, trust, and safety management ◦ IS in the post-COVID world Submit your paper using the Easy Chair link: https://easychair.org/conferences/?conf=caise2024 . IMPORTANT DATES • Abstract Submission: 1st December 2023 (AoE, extended and firm) • Paper Submission: 8th December 2023 (AoE, extended and firm) • Notification of Acceptance: 23rd February 2024 • Camera-ready Papers: 5th April 2024 • Author registration: 5th April 2024 ORGANISATION General Chairs • Haris Mouratidis, University of Essex, UK • Pnina Soffer, University of Haifa, Israel Local Organizing and Finance Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Giancarlo Guizzardi, University of Twente, The Netherlands • Flavia Maria Santoro, University of the State of Rio de Janeiro, Brazil Other Committee Members https://cyprusconferences.org/caise2024/committees/

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Call for Participation - ArabicNLP 2023
by Salam Khalifa 23 Nov '23

23 Nov '23

Hello All, **Apologies for cross-posting** We are happy to invite you to the first ArabicNLP 2023 conference, the successor of the long-standing Workshop of Arabic Natural Language Processing (WANLP). The conference will take place in Singapore on the 7th of December 2023, co-located with EMNLP 2023. For this year’s edition of ArabicNLP, we received a total of 80 main conference submissions and accepted 38 papers (32 long and 6 short), which brings us to an acceptance rate of 47.5%. ArabicNLP 2023 included five shared tasks with 48 submissions in total: (i) The Nuanced Arabic Dialect Identification (NADI), (ii) ArAIEval (Persuasion Techniques and Disinformation Detection in Arabic Text), (iii) Qur’an QA, (iv) WojoodNER, and (v) Arabic Reverse Dictionary. ArabicNLP 2023 will also include a panel discussing the hot topic “Arabic LLMs: Challenges and Opportunities” by leaders in the field, like Areeb Alowisheq, Kareem Darwish, and Preslav Nakov, moderated by Mona Diab. To view the program and the full list of accepted papers, visit: https://arabicnlp2023.sigarab.org/program. The ArabicNLP 2023 conference is held in hybrid mode, and we look forward to seeing you soon! For registration information, visit: https://arabicnlp2023.sigarab.org/registration Lastly, we thank all our sponsors: King Salman Global Academy for Arabic Language, aiXplain, Lisan.ai, SCAI, Majarra, and Big IR, for their generous support and help building up the Arabic NLP community. Best Regards, ArabicNLP 2023's publicity chairs -- Salam Khalifa PhD Student at Stony Brook Linguistics <https://www.linguistics.stonybrook.edu/>.

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Postdoc position in L3i La Rochelle - Emotion detection in comics speech balloons
by Antoine Doucet 23 Nov '23

23 Nov '23

--------------------------------------------------------------------------------------------------------------------------- *-- Post-doctoral research position - L3i - La Rochelle France* --------------------------------------------------------------------------------------------------------------------------- *Title :*Emotion detection by semantic analysis of the text in comics speech balloons The L3i laboratory has one open post-doc position in computer science, in the specific field of natural language processing in the context of digitised documents. *Duration*: 12 months (an extension of 12 months will be possible) *Position available from*: as soon as possible *Salary*: approximately 2100 € / month (net) *Place*: L3i lab, University of La Rochelle, France *Specialty*: Computer Science/ Document Analysis/ Natural Language Processing *Contact*: Jean-Christophe BURIE (jcburie [at] univ-lr.fr) / Antoine Doucet (antoine.doucet [at] univ-lr.fr) ** *Position Description* The L3i is a research lab of the University of La Rochelle. La Rochelle is a city in the south west of France on the Atlantic coast and is one of the most attractive and dynamic cities in France. The L3i works since several years on document analysis and has developed a well-known expertise in ‘Bande dessinée”, manga and comics analysis, indexing and understanding. The work done by the post-doc will take part in the context of *SAiL* (Sequential Art Image Laboratory) a joint laboratory involving L3i and a private company. The objective is to create innovative tools to index and interact with digitised comics. The work will be done in a team of 10 researchers and engineers. The team has developed different methods to extract and recognise the text of the speech balloons. The specific task of the recruited researcher will be to use Natural Language Processing strategies to analyse the text in order to identify emotions expressed by a character (reacting to the utterance of another speaking character) or caused by it (talking to another character). The datasets will be collections of comics in French and English. *Qualifications* Candidates must have a completed PhD and a research experience *in natural language processing*. Some knowledge and experience in deep learning is also recommended. *General Qualifications* • Good programming skills mastering at least one programming language like Python, Java, C/C++ • Good teamwork skills • Good writing skills and proficiency in written and spoken English or French *Applications* Candidates should send a CV and a motivation letter to jcburie [at] univ-lr.fr and antoine.doucet [at] univ-lr.fr.

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Workshop on Training and Evaluation Data for Italian/Multilingual LLMs - 18 December, Rome
by Roberto Navigli 23 Nov '23

23 Nov '23

*Workshop on Training and Evaluation Data for Italian (and Multilingual) Large Language Models* Call for Participation When: 18/12/2023, Where: DIAG, Sapienza - Aula Magna (first floor), Via Ariosto 25, Roma Organizers: Roberto Navigli (Sapienza University of Rome) Rita Cucchiara (University of Modena and Reggio Emilia; CNR) We are pleased to invite you to the inaugural workshop dedicated to the creation and development of Large Language Models (LLM) for the Italian language (the first step towards an Italian Large Multimodal Model). The event is part of the "Vision, Language, and Multimodal Challenges" Transversal Project of the big PNRR Next-Gen EU project "Future Artificial Intelligence Research" (FAIR) <https://future-ai-research.it/> and is organized in collaboration with the National CINI AIIS laboratory <https://www.consorzio-cini.it/index.php/it/labaiis-home/194-italiano/labora…> (Artificial Intelligence and Information Systems), which serves as the hub of the entire Italian AI community. The workshop, aimed at discussing the collection and selection of training and evaluation datasets for LLMs, will feature the project presentation and several keynote speakers (see agenda below). Should you be interested, please fill in this form <https://docs.google.com/forms/d/e/1FAIpQLSdNte858PJ9_ltHidhA5VmYZ6-QGd_lh7m…>. Seat availability is limited, so before filling the form, if you have any doubt just contact me directly by replying to this email. I hope to see you there! Ciao, Roberto Agenda Introductory session: 14:00 - 14:20 - 14:00 - 14:20 | Project Introduction, Roberto Navigli, Sapienza University of Rome Invited Talks - 1st part: 14:20 - 16:00 - 14:20 - 14:40 | Marta Villegas, Barcelona Supercomputing Center - 14:40 - 15:00 | Georg Rehm, DFKI - 15:00 - 15:20 | Malte Ostendorff, DFKI - 15:20 - 15:40 | Barry Haddow, University of Edinburgh - 15:40 - 16:00 | Sampo Pyysalo, University of Turku Coffee break: 16:00 - 16:30Invited Talks - 2nd part: 16:30 - 17:30 - 16:30 - 16:50 | Pedro Ortiz, DFKI - 16:50 - 17:10 | Magnus Sahlgren, AI Sweden - 17:10 - 17:30 | Roberto Lattanzi, Dip. AI, Garante per la Protezione dei Dati Personali Participant Presentations and Closing: 17:30-18:45 - 17:30 - 18:30 | Presentations by participants (Program under development) - 18:30 - 18:45 | Closing

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Second CfP: MOOMIN @ EACL 2024 - the first workshop on Modular and Open Multilingual NLP
by Tiedemann, Jörg 22 Nov '23

22 Nov '23

Second Call for papers: MOOMIN - the first workshop on Modular and Open Multilingual NLP collocated with EACL 2024, March 21 or 22, 2024 Website: https://moomin-workshop.github.io/ Submission website: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/MOOMIN Invited speakers: Edoardo M. Ponti<https://ducdauge.github.io/> (University of Edinburgh) and Angela Fan<https://ai.meta.com/people/angela-fan/> (Meta AI) We invite submissions to the first edition of the MOOMIN workshop on Modular and Open Multilingual NLP, to be held at EACL 2024 on March 21 or 22, 2024. [Important Dates] * Workshop paper due: December 18, 2023 * Resubmission deadline (for pre-reviewed ARR & main conference submissions): January 17, 2024 * Notification of acceptance: January 20, 2024 * Camera-ready papers due: January 30 2024 * Workshop dates: March 21-22, 2024 [Introduction] NLP in the age of monolithic large language models starts to hit the limits in terms of size and information that can be handled. The trend goes to modularization, a necessary step into the direction of designing smaller sub-networks and components with specialized functionality. This allows researchers to design scalable, wide-coverage, efficient and reusable models. Multilingual NLP is today faced with a number of difficult challenges. Scaling a multilingual model to a high number of languages is prone to suffer from negative interference, also known as the curse of multilinguality, leading to degradation in per-language performance, while earlier approaches to improving model capacity have hit the ceiling in terms of hardware, data and training algorithms. At the same time, we as a community wish to foster the development of open components that can be shared, deployed and widely integrated within the broader research community without incurring computational costs that add to the overall carbon footprint of NLP engineering. Modularity is a practical solution to answer all of these challenges and more, as it offers a very promising set of tools towards increased multilinguality of larger foundation models, either during their pretraining or in a post-hoc post-pretraining manner. [Topics of Interest] With this in mind, the MOOMIN workshop invites contributions related but not limited to the following topics: * mixture of expert models and gated routing * modular pre-training of multilingual language and translation models * effective transfer with modular architectures such as adapters and hypernetworks * efficient parallelization and distribution of modular model training * modular frameworks and architecture implementations * massively multilingual models with large language coverage * subnet selection and pruning * modular distillation * modular extensions of existing NLP models systems, especially in low-resource settings and for low-resource languages * evaluation of modular systems in terms of performance, efficiency, and computational costs * platforms for distributing, sharing, and integrating NLP components [Submission Guidelines] Authors are invited to submit original and unpublished research papers in the following categories: * Full papers (up to 8 pages) for substantial contributions. * Short papers (up to 4 pages) for ongoing or preliminary work. All submissions must be in PDF format, submitted electronically via OpenReview (https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/MOOMIN) and should follow the EACL 2024 formatting guidelines (following the ARR CfP<https://aclrollingreview.org/cfp>: use the official ACL style templates, which are available here<https://github.com/acl-org/acl-style-files>). We also intend to invite papers accepted to Findings to reach out to the organizing committee of MOOMIN to present their papers at the workshop, if in line with the topics as described above. [Workshop Organizers] * Timothee Mickus, University of Helsinki * Jörg Tiedemann, University of Helsinki * Ahmet Üstün, Cohere For AI * Raúl Vázquez, University of Helsinki * Ivan Vulić, University of Cambridge & PolyAI [Program Committee] A list of program committee members will be available on the workshop website. [Contact] For inquiries, please contact moomin.nlp.workshop(a)gmail.com<mailto:moomin.nlp.workshop@gmail.com>

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2nd Call for abstracts UniDive 2nd general meeting, University of Naples L’Orientale, Italy, 7-9 February 2024
by jmonti＠unior.it 22 Nov '23

22 Nov '23

UniDive is a COST action, i.e. a scientific network, dedicated to universality, diversity and idiosyncrasy in language technology (https://unidive.lisn.upsaclay.fr/doku.php?id=start) . It is structured around 4 Working Groups: - WG1: Corpus annotation - WG2: Lexicon-corpus interface - WG3: Multilingual and cross-lingual language technology - WG4: Quantifying and promoting diversity The second general meeting of the action will take place on February 7-9, 2024 at the University of Naples L’Orientale in Italy (www.unior.it). We invite UniDive WG members to submit abstract proposals related to the scientific program of the WGs. Proposals may describe diverse types of contributions, according to 3 different tracks: - Planned work - Work in progress - Complete work, also previously published A proposal should be anonymous, written in English and submitted in pdf only. It should include (on the title page) the list of the relevant WGs, but in the submission form only one WG can be selected as the main one. It should not exceed 2 pages, including figures and tables (bibliographic references may go beyond the 2-page limit). If linguistic examples from languages other than English are included, those should be glossed and translated into English, and an extra half page is allowed for this purpose. For the sake of uniformity and easing the reviewers’ effort, we encourage authors to use the Overleaf Latex template. Other formats (not necessarily Latex-based) can also be used, provided that they conform to the following specifications: A4 paper, 11pt font, 1in margins. The submission link is: https://openreview.net/group?id=UniDive/2024/General_Meeting The reviewing process is double-blind. The selection of proposals will be done by UniDive Program Committee according to the following criteria: - relevance to UniDive and the work program of its Working Groups (see pp. 18-20 of the Memorandum of Understanding), - clarity - diversity of the languages covered by the workshop program The selected proposals will be presented at the 2nd UniDive general meeting as posters and/or oral presentations. At least one author per selected proposal will be reimbursed for their travel and stay. Important dates - 26 October 2023: Call for abstracts - 24 November 2023: Submission deadline - 15 December 2023: Notification of acceptance - 20 December 2023: Communication of the names of the presenters - 12 January 2024: Final versions of abstracts - 7-9 February 2024: UniDive 2nd general meeting The time zone for all deadlines is anywhere on Earth (UTC-12). Due to the tight schedule, no extension of the submission deadline is foreseen. Program Chairs - Victoria Bobicev, Technical University of Moldova (Moldova) - Johanna Monti, University of Naples L’Orientale (Italy) - Ranka Stanković, University of Belgrade (Serbia)

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Call for Participation - Semeval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes
by mitko.bg.ss＠gmail.com 22 Nov '23

22 Nov '23

SemEval 2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes First Call for Participation Memes that are part of a disinformation campaign achieve their goal of influencing social media users through a number of rhetorical and psychological techniques, such as causal oversimplification, name calling, appeal to fear, straw man, loaded language, and smears. The goal of the shared task is to build models for identifying such techniques in the textual content of a meme as well as in a multimodal setting (in many cases requiring to make complex inferences using both textual and visual content). Additionally, the task offers a hierarchy of these techniques, which allows the use of more complex approaches when building models. Finally, there will be three surprise test datasets in different languages (a fourth one in English will be released as well), which will be revealed only at the final stages of the shared task. Specifically, we offer the following subtasks: Subtask 1 (multilabel classification problem; text only; multilingual test set): Given only the "textual content" of a meme, identify which of the 20 persuasion techniques, organized in a hierarchy, it uses. Subtask 2a (multilabel classification problem; multimodal; multilingual test set): Given a meme, identify which of the 22 persuasion techniques, organized in a hierarchy, are used both in the textual and in the visual content of the meme Subtask 2b (binary classification problem; multimodal): Given a meme (both the textual and the visual content), identify whether it contains a persuasion technique, or no technique. The data is annotated with the following persuasion techniques: Loaded Language; Name Calling/Labeling; Exaggeration/Minimization; Appeal to fear/prejudice; Flag-Waving; Slogans; Repetition; Doubt; Reductio ad Hitlerum; Obfuscation/Intentional Vagueness/Confusion; Smears; Glittering Generalities; Causal Oversimplification; Black-and-White Fallacy; Appeal to Authority; Bandwagon; Red Herring; Whataboutism; Thought-terminating Cliches; Straw Men. We believe the tasks would be appealing to various NLP communities, including researchers working on sentiment analysis, fact-checking, argumentation mining, tagging, sequence modeling, as well as researchers working on image analysis in a multimodal scenario. A live leaderboard will allow participants to track their progress on both tasks. All participants will be invited to submit a paper to the SemEval-2024 workshop. Shared task website: https://propaganda.math.unipd.it/semeval2024task4 Competition dates: 4 September 2023 - 31 January 2024 Schedule October, Release of train labels January 13, 2023 (tentative) Release of the gold labels of the dev set January 20, 2024 (tentative) Release of the test set January 31, 2024 at 23:59 (Anywhere on Earth) Test submission site closes February 29, 2024 Paper Submission Deadline April 1, 2024 Notification to authors April 22, 2024 Camera ready papers due June 16–21, 2024 SemEval 2024 workshop (co-located with NAACL 2024 in Mexico City, Mexico) Task Organisers: Dimitar Dimitrov, Sofia University "St. Kliment Ohrdiski" Giovanni Da San Martino, University of Padova, Italy Preslav Nakov, Mohamed bin Zayed University of Artificial Intelligence, UAE Firoj Alam, Qatar Computing Research Institute, HBKU, Qatar Maram Hasanain, Qatar Computing Research Institute, HBKU, Qatar Abul Hasnat, Blackbird.ai Fabrizio Silvestri, Sapienza University, Rome

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2nd call for papers: : CODI, 5th Workshop on Computational Approaches to Discourse
by Chloé Braud 22 Nov '23

22 Nov '23

CODI, 5th Workshop on Computational Approaches to Discourse: 2nd Call for Papers 2024-03-21 or 22 - EACL 2024 - Malta ** Submission deadline: December 20th, 2023 - No deadline extension ** Website link: https://sites.google.com/view/codi2024 Aims and scope The last ten years have seen a dramatic improvement in the ability of NLP systems to understand and produce words and sentences. This development has created a renewed interest in discourse phenomena as researchers move towards the processing of long-form text and conversations. There is a surge of activity in discourse parsing, coherence models, text summarization, corpora for discourse level reading comprehension, and discourse related/aided representation learning, to name a few, but the problems in computational approaches to discourse are still substantial. At this juncture, we have organized four Workshops on Computational Approaches to Discourse (CODI) at EMNLP 2020, EMNLP 2021, COLING 2022 and ACL 2023 to bring together discourse experts and upcoming researchers. These workshops have catalyzed work to advance research on discourse level problems and have served as a forum for the discussion of suitable datasets and reliable evaluation methods. The previous workshops on discourse in machine translation (DiscoMT), linking lexical, sentential and discourse semantics (LSDSem), discourse structure in natural language generation (DSNNLG), discourse relation parsing and treebanking (DISRPT) and coreference (CORBON/CRAC), have shown that there is considerable interest and success in bringing together the community working on specific problems in discourse. We believe that the discourse community will also benefit from a general forum where work ranging from corpus development/analysis to computational models, and evaluation is discussed, and desiderata can be drawn for future progress. The 5th CODI workshop is planned as a 1 day event which brings together different subcommunities. It will feature invited talks and regular papers. We also accept papers accepted at other major conferences for non-archival presentation, including Findings papers. Topics of interest We welcome papers on symbolic and probabilistic approaches, corpus development and analysis, as well as machine and deep learning approaches to discourse. We appreciate theoretical contributions as well as practical applications, including demos of systems and tools. The goal of the workshop is to provide a forum for the community of NLP researchers working on all aspects of discourse. Topics of interest include, but are not limited to: - discourse structure - discourse connectives - discourse relations - annotation tools and schemes for discourse phenomena - corpora annotated with discourse phenomena - discourse parsing - cross-lingual discourse processing - cross-domain discourse processing - anaphora and coreference resolution - event coreference - argument mining - coherence modeling - discourse and semantics - discourse in applications such as machine translation, summarization, etc. - evaluation methodology for discourse processing Submissions We solicit three categories of papers: regular (long and short) workshop papers, demos and extended abstracts. Only regular workshop papers and demos will be included in the proceedings as archival publications. Double submission of papers is allowed but will need to be indicated at submission. Regular papers must describe original unpublished research. Long papers may consist of up to 8 pages of content, plus unlimited pages for references. Short papers can be up to 4 pages, plus unlimited pages for references. Demo submissions may describe systems, tools, visualizations, etc., and may consist of up to 4 pages, plus unlimited pages for references. Each submission can contain unlimited pages for Appendices but the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review them. Extended abstracts can describe work in progress. These may be two pages long (without references). Extended abstracts are non-archival. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. Paper accepted or rejected at one of the main conferences We also invite presentations of paper accepted at another main conference, a specific deadline and submission process will be communicated later on. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. We will also consider for publication papers rejected at one of the main conferences (see the direct submission deadline below), authors will have to submit both the paper and the reviews. The submission process will be communicated later on. Submission website All submissions must be anonymous and follow the EACL 2024 formatting instructions described here: https://aclrollingreview.org/cfp Please submit your workshop papers at https://softconf.com/eacl2024/CODI-2024/ Important dates 2023-12-20: CODI papers due 2024-01-17: Direct submission (papers rejected at a main conference) 2024-01-20: Notification of acceptance 2024-01-30: Camera ready deadline for main conference and CODI 2024-03-17 – 2024-03-22: CODI workshop All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Due to the tight schedule, there will be no deadline extension. Invited Speakers - Hannah Rohde, University of Edinburgh - Manfred Stede, Potsdam University Organizers Chloé Braud, CNRS-IRIT Christian Hardmeier, IT University of Copenhagen Chuyuan (Lisa) Li, University of British Columbia Jessy Li, University of Texas, Austin Sharid Loáiciga, University of Gothenburg Michael Strube, Heidelberg Institute for Theoretical Studies Amir Zeldes, Georgetown University To contact the organizers, please send an email to: codi-workshop(a)googlegroups.com

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Second call for papers: The 9th Workshop on Noisy and User-generated Text (WNUT 2024)
by rob van der goot 22 Nov '23

22 Nov '23

The WNUT Workshop will be collocated with EACL 2024 (Malta). The website for the workshop is at: http://noisy-text.github.io/ The WNUT workshop focuses on core NLP tasks (e.g., POS/NER tagging and translation; not computational social science) over user-generated text, such as that found on social media, web forums, online reviews, digital health records, or language learner essays. We seek submissions of long and short papers on original and unpublished work (same format and page limit as EACL main conference). All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally. There will be best paper awards for both short and long papers. Topics of interest include but are not limited to: * NLP of noisy text, e.g. POS, NER tagging, Parsing * Text normalization and error correction * Paraphrase identification and semantic similarity of short text or noisy text * Extracting user demographics, profiles, and major life events * Machine translation and Multilingual NLP over noisy text * Information extraction from noisy text, global and regional trend detection, and event extraction * Colloquial language, e.g. idiom detection * Domain adaptation to user-generated text * Detecting rumors, contradictory information, sarcasm and humor on social media * Sentiment analysis * Temporal aspects of user-generated content (resolving time expressions, concept drift, etc...) * Representing and mining language variation in user-generated content * Processing of automatically generated data * Robustness to Noise, both Natural and Adversarial [IMPORTANT DATES] * Submission Deadline: December 18, 2023 (anytime on earth; dual-submission allowed) * Acceptance Notification: January 20, 2024 * Camera-Ready Deadline: january 30, 2024 * Workshop Day: March 21/22, 2024 [INVITED SPEAKERS] * Su Lin Blodgett * Jennifer Foster [ORGANIZERS] * Tim Baldwin (University of Melbourne) * Wei Xu (Georgia Institute of Technology) * Alan Ritter (Georgia Institute of Technology) * Rob van der Goot (IT University of Copenhagen) * Max Müller-Eberstein (IT University of Copenhagen) [SUBMISSION] Submissions should conform to the ACL style guidelines. Long and short paper submissions must be anonymized. Please submit your papers via OpenReview: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/WNUT

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First call for papers: The 9th Workshop on Noisy and User-generated Text (WNUT 2024)
by Rob van der Goot 22 Nov '23

22 Nov '23

The WNUT Workshop will be collocated with EACL 2024 (Malta). The website for the workshop is at: http://noisy-text.github.io/ The WNUT workshop focuses on core NLP tasks (e.g., POS/NER tagging and translation; not computational social science) over user-generated text, such as that found on social media, web forums, online reviews, digital health records, or language learner essays. We seek submissions of long and short papers on original and unpublished work (same format and page limit as EACL main conference). All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally. There will be best paper awards for both short and long papers. Topics of interest include but are not limited to: * NLP of noisy text, e.g. POS, NER tagging, Parsing * Text normalization and error correction * Paraphrase identification and semantic similarity of short text or noisy text * Extracting user demographics, profiles, and major life events * Machine translation and Multilingual NLP over noisy text * Information extraction from noisy text, global and regional trend detection, and event extraction * Colloquial language, e.g. idiom detection * Domain adaptation to user-generated text * Detecting rumors, contradictory information, sarcasm and humor on social media * Sentiment analysis * Temporal aspects of user-generated content (resolving time expressions, concept drift, etc...) * Representing and mining language variation in user-generated content * Processing of automatically generated data * Robustness to Noise, both Natural and Adversarial [IMPORTANT DATES] * Submission Deadline: December 18, 2023 (anytime on earth; dual-submission allowed) * Acceptance Notification: January 20, 2024 * Camera-Ready Deadline: january 30, 2024 * Workshop Day: March 21/22, 2024 [INVITED SPEAKERS] * Su Lin Blodgett * Jennifer Foster [ORGANIZERS] * Tim Baldwin (University of Melbourne) * Wei Xu (Georgia Institute of Technology) * Alan Ritter (Georgia Institute of Technology) * Rob van der Goot (IT University of Copenhagen) * Max Müller-Eberstein (IT University of Copenhagen) [SUBMISSION] Submissions should conform to the ACL style guidelines. Long and short paper submissions must be anonymized. Please submit your papers via OpenReview: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/WNUT

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Second Call for Papers and Shared Task Participation; CASE @ EACL 2024: The 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text
by ali hürriyetoglu 22 Nov '23

22 Nov '23

Second Call for workshop papers and Shared Task participation: the 6th workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text - CASE @ EACL 2024 ************************************************************************************ URL: https://emw.ku.edu.tr/case-2024/ Paper submission deadline: 18 December 2023 Paper acceptance notification: 20 January 2024 Paper camera-ready: 30 January 2024 Workshop dates: 21-22 March 2024 Softconf page of the workshop: https://softconf.com/eacl2024/CASE-2024/ ************************************************************************************ We invite contributions from researchers in computer science, NLP, ML, DL, AI, socio-political sciences, conflict analysis and forecasting, peace studies, as well as computational social science scholars involved in the collection and utilization of socio-political event data. This includes (but is not limited to) the following topics 1) Extracting events and their arguments such as time and location in and beyond a sentence or document, event coreference resolution. 2) Research in NLP technologies in relation to event detection: geocoding, temporal reasoning, argument structure detection, syntactic and semantic analysis of event structures, text classification, for event type detection, learning event-related lexica, event co-reference resolution, fake news analysis, and others with a focus on real or potential event detection applications. 3) New datasets, training data collection, and annotation for event information. 4) Event-event relations, e.g., subevents, main events, spatio-temporal relations, causal relations. 5) Event dataset evaluation in light of reliability and validity metrics. 6) Defining, populating, and facilitating event schemas and ontologies. 7) Automated tools and pipelines for event collection related tasks. 8) Lexical, syntactic, semantic, discursive, and pragmatic aspects of event manifestation. 9) Methodologies for development, evaluation, and analysis of event datasets. 10) Applications of event databases, e.g. early warning, conflict prediction, policymaking. 11) Estimating what is missing in event datasets using internal and external information. 12) Detection of new and emerging SPE types, e.g. creative protests. 13) Release of new event datasets. 14) Bias and fairness of the sources and event datasets. 15) Ethics, misinformation, privacy, and fairness concerns pertaining to event datasets. 16) Copyright issues on event dataset creation, dissemination, and sharing. 17) Cross-lingual, multilingual and multimodal aspects in event analysis. 18) Resources and approaches related to contentious politics around climate change. **** Shared tasks **** We invite the community to participate in the shared task we organize and consider working on data from our previous shared tasks in the scope of the CASE workshop @ EACL 2024 (https://emw.ku.edu.tr/case-2024/). Recent & Active Shared task: *T1: Climate Activism Stance and Hate Event Detection* *Codalab Link:* https://codalab.lisn.upsaclay.fr/competitions/16206 <https://codalab.lisn.upsaclay.fr/competitions/16206> Registration: In order to register for the shared task, please send a request in Codalab. The organizers will approve requests on a daily basis. *GitHub Page:* https://github.com/therealthapa/case2024-climate <https://github.com/therealthapa/case2024-climate> Previous shared tasks for working on regular papers (no official competition), please see the regular paper submission timeline: PT1: Multilingual Protest News Detection Contact person: Ali Hürriyetoğlu (ali.hurriyetoglu(a)gmail.com) Github: https://github.com/emerging-welfare/case-2022-multilingual-event PT2: Event Causality identification Contact person: Fiona Anting Tan (tan.f(a)u.nus.edu) Github: https://github.com/tanfiona/CausalNewsCorpus PT3: Multimodal Hate Speech Event Detection Contact person: Surendrabikram Thapa (surendrabikram(a)vt.edu) Codalab page: https://codalab.lisn.upsaclay.fr/competitions/16203 Github: https://github.com/therealthapa/case2023_task4 Note: The organizers follows a specific timeline. Please see the Codalab page. *** Keynotes *** We will continue our tradition of inviting keynote speakers from both social and computational sciences. The up-to-date list of keynote speakers will be announced soon. *** Submission guidelines *** This call solicits short and long papers reporting original and unpublished research on the topics listed above. The papers should emphasize obtained results rather than intended work and should indicate clearly the state of completion of the reported results. The page limits and content structure announced at ACL ARR page (https://aclrollingreview.org/cfp) should be followed for both short and long papers. Papers should be submitted on the START page of the workshop ( https://softconf.com/eacl2024/CASE-2024/) in PDF format, in compliance with the ACL publication author guidelines for ACL publications https://acl-org.github.io/ACLPUB/formatting.html. The templates can be found on https://github.com/acl-org/acl-style-files. The reviewing process will be double-blind and papers should not include the author’s names and affiliations. Each submission will be reviewed by at least three members of the program committee. The workshop proceedings will be published on ACL Anthology. *** Workshop organizers *** Ali Hürriyetoğlu, KNAW Humanities Cluster, the Netherlands, ali.hurriyetoglu(a)gmail.com Hristo Tanev, European Commission, Joint Research Centre (EU JRC), Italy Erdem Yörük, Koc University, Turkey Jatin Bedi, Thapar Institute of Engineering and Technology, Patiala, India. Surendrabikram Thapa, Virginia Tech, the USA S. Angel Deborah, SSN College of Engineering, India S. Rajalakshmi, SSN College of Engineering, India Onur Uca, Mersin University, Turkey Mark Lee, School of Computer Science University of Birmingham, United Kingdom Francielle Vargas, University of São Paulo, Brazil Farhana Ferdousi Liza, University of East Anglia, the United Kingdom Shruti Kulkarni, Oak Ridge National Laboratory, United States Vivek Kumar, University of the Bundeswehr Munich, Germany Milena Slavcheva, IICT, Bulgarian Academy of Sciences, Bulgaria Guneet Singh Kohli, Thapar University, India Vanni Zavarella, University of Cagliari, Italy

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Schools and LLMs: the challenge is open
by znzfms00＠uniroma2.it 21 Nov '23

21 Nov '23

Two open positions: deadline Dec. 10th 12.00 CET (1) Research Fellowship - Assegno di Ricerca I Fascia (Requirements: Master's Degree) - https://pica.cineca.it/uniroma2/f1-2023-0098/ (2) Post-doc Research Fellowship - Assegno di Ricerca II Fascia (Requirements: Ph.D. Degree) - https://pica.cineca.it/uniroma2/f2-2023-0026/ If you want to apply, use the above links and, possibly, inform fabio.massimo.zanzotto(a)uniroma2.it . As you may know, we offer: - an uncompetitive salary - no extra-benefits - no clear career path Yet, YOU can help us shape ways schools may integrate these disruptive LLMs to prepare "biological brains" for the vibrating future. These positions are within an Italian Research Project of National Interest (PRIN): "Class-tAIs: Artificial Intelligence and multi-brain connectivity as a buddy to Enhancing Competencies in students" Positions will start early next year. Lab: Human-centric Art at the University of Rome Tor Vergata (Italy) Follow us on our newly established X account: @HumanCentricArt https://twitter.com/HumanCentricArt

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Two Open Positions: at NLP for Biomedical Information Analysis group (Barcelona Supercomputing Center (BSC), Spain)
by Martin Krallinger 21 Nov '23

21 Nov '23

Dear colleagues, My group is currently seeking for two new positions (details below) I would really appreciate sharing to potential interested candidates or lists. Best regards, Martin *Context And Mission* The Natural Language Processing for Biomedical Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text-mining solutions applied primarily to biomedical and clinical data. It is a highly interdisciplinary team, funded through competitive European and National projects requiring the implementation of natural language processing and advanced AI solutions making use of diverse technologies, including Transformers and recent advances in Large Language Models (LLM) to improve healthcare data analysis. *Position 1* *Reference:* 514_23_LS_NLPBIA_RE1 *Job title:* Junior Research Engineer - NLP for Biomedical Information Analysis (RE1) *URL: **https://www.bsc.es/join-us/job-opportunities/51423lsnlpbiare1 <https://www.bsc.es/join-us/job-opportunities/51423lsnlpbiare1>* The NLP4BIA group at BSC is looking for a Software/Data Engineer or Full Stack Developer with an interest in learning technical aspects of Natural Language Processing, AI, and Language Models. The ideal candidate will be responsible for advancing a cutting-edge NLP platform, leveraging the use of state-of-the-art language technologies and NLP resources. This role involves collaboration with hospitals, research teams, and experts on both national and international scales to drive innovation in the field. *Key Duties* - Software Development: Create backend, frontend, and web services, along with web-based demos for NLP tools. - NLP platform Integration: Integrate existing NLP components into the CogStack platform for processing clinical and biomedical content. - Data Processing and Ingestion: Develop scripts for the ingestion, cleaning, and formatting of text data to make it appropriate for neural architectures. - Data Management: Organize and maintain data repositories in alignment with group and project requirements. - Documentation and Reporting: Create technical reports and project documentation in both English and Spanish. - Automated Data Annotation: Use existing state-of-the-art NLP tools to annotate data, improving operational efficiency autonomously. - In this role, the candidate will closely collaborate with AI/NLP experts of the team to define the technical requirements for running and deploying NLP components. You'll collaborate with them in writing research proposals and contributing to research scientific papers. Furthermore, your duties will include working with external teams to provide technical support related to tools used for data annotation and platform deployment, ensuring seamless project execution and interdisciplinary collaboration. *Position 2* *Reference:* 515_23_LS_NLPBIA_RE2 *Job title:* Research Engineer - NLP for Biomedical Information Analysis (RE2) *URL: https://www.bsc.es/join-us/job-opportunities/51523lsnlpbiare2 <https://www.bsc.es/join-us/job-opportunities/51523lsnlpbiare2>* The NLP4BIA-BSC is looking for a Research Engineer with experience in Language Technologies and Deep Learning. The candidate will be involved in technical work related to international projects, being part of a team of researchers working on topics related to multilingual information extraction in the clinical field, including Named-Entity Recognition, Entity Linking and Language Modeling. The candidate will have the opportunity to advance the state of the art of cross-lingual biomedical NLP methods by working in a multidisciplinary environment alongside linguists, medical experts, and other engineers. *Key Duties* - NLP model development: Development of multilingual information extraction models in the biomedical field, including mention extraction and linking of terms to controlled terminologies. Pre-training of cross-lingual large language models for healthcare. - Technical project coordination: Coordinate technical contributions from different partners in technological projects. - Documentation and Reporting: Create technical reports and project documentation in both English and Spanish - Scientific writing: Collaborate in drafting technical research proposals and writing scientific papers. *About BSC* The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 900 staff from 55 countries.

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2nd Call for abstracts UniDive 2nd general meeting, Naples, Italy, 7-9 February 2024
by Victoria Bobicev 21 Nov '23

21 Nov '23

2nd Call for abstracts UniDive 2nd general meeting, University of Naples L'Orientale, Italy, 7-9 February 2024 UniDive <https://www.cost.eu/actions/CA21167/> is a COST action, i.e. a scientific network, dedicated to universality, diversity and idiosyncrasy in language technology. It is structured around 4 Working Groups: - WG1: Corpus annotation - WG2: Lexicon-corpus interface - WG3: Multilingual and cross-lingual language technology - WG4: Quantifying and promoting diversity The second general meeting <https://unidive.lisn.upsaclay.fr/doku.php?id=meetings:general_meetings:2nd_…> of the action will take place on February 7-9, 2024 at the University of Naples L'Orientale <http://www.unior.it/> <http://www.unior.it/>in Italy. We invite UniDive WG members to submit abstract proposals related to the scientific program of the WGs. Proposals may describe diverse types of contributions, according to 3 different tracks: - Planned work - Work in progress - Complete work, also previously published A proposal should be anonymous, written in English, and submitted in pdf only. It should include (on the title page) the list of the relevant WGs, but in the submission form, only one WG can be selected as the main one. It should not exceed 2 pages, including figures and tables (bibliographic references may go beyond the 2-page limit). If linguistic examples from languages other than English are included, those should be glossed and translated into English, and an extra half page is allowed for this purpose. For the sake of uniformity and easing the reviewers' effort, we encourage authors to use the Overleaf Latex template <https://www.overleaf.com/read/yqbpxcbjmjjw>. Other formats (not necessarily Latex-based) can also be used, provided that they conform to the following specifications: A4 paper, 11pt font, 1in margins. The submission link will be announced soon. The submission link is: https://openreview.net/group?id=UniDive/2024/General_Meeting The reviewing process is double-blind. The selection of proposals will be done by UniDive Program Committee according to the following criteria: - relevance to UniDive and the work program of its Working Groups (see pp. 18-20 of the Memorandum of Understanding), - clarity - diversity of the languages covered by the workshop program The selected proposals will be presented at the 2nd UniDive general meeting as posters and/or oral presentations. At least one author per selected proposal will be reimbursed for their travel and stay. Important dates - 26 October 2023: Call for abstracts - 24 November 2023: Submission deadline - 15 December 2023: Notification of acceptance - 20 December 2023: Communication of the names of the presenters - 12 January 2024: Final versions of abstracts - 7-9 February 2024: UniDive 2nd general meeting The time zone for all deadlines is anywhere on Earth (UTC-12). Due to the tight schedule, no extension of the submission deadline is foreseen. Program Chairs - Victoria Bobicev, Technical University of Moldova (Moldova) - Johanna Monti, University of Naples L'Orientale (Italy) - Ranka Stanković, University of Belgrade (Serbia)

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PhD Positions on Bias and Fairness, Social Network Analysis and Mining, and others!!
by Roshni Chakraborty 21 Nov '23

21 Nov '23

Dear All, We are looking for PhD applicants for our Computational Social Science Group (https://css.cs.ut.ee/) ! So, if you are interested, please write to us and if you know someone who might be interested, please spread the word!! We are interested in topics related to misinformation, media biasness, fairness and explainability on computational journalism and online social media. We are also open to other topics if they overlap with the interests of our group. Why join us? ==================== You'll be a part of Estonia's esteemed Institute of Computer Science (https://cs.ut.ee/en), University of Tartu, which is in the modern Delta Centre (https://delta.ut.ee/en/), a beacon of technological innovation and research excellence. Relevant Information ==================== The gross salary is 2000 euros per month for four years. We will support research related travels and there is no tuition fees for PhD students. A master's degree is required. Additionally, candidates with good implementation skills and previous experience in large scale dataset analysis, text mining, machine learning algorithms will be preferred. Please drop a mail for any query or to show your interests at contact(a)css.cs.ut.ee<mailto:contact@css.cs.ut.ee> or roshni.chakraborty(a)ut.ee<mailto:roshni.chakraborty@ut.ee> or rajesh.sharma(a)ut.ee<mailto:rajesh.sharma@ut.ee> ! Kind Regards, Roshni Chakraborty, Assistant Professor, Institute of Computer Science University of Tartu, Estonia

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Second CFP-The Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages -(DravidianLangTech-2024) at EACL 2024
by Bharathi Raja Asoka Chakravarthi 21 Nov '23

21 Nov '23

Apologies for cross posting The Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages -(DravidianLangTech-2024) at EACL 2024 Link: https://sites.google.com/view/dravidianlangtech-2024/home The development of technology increases our internet use, and most of the global languages have adapted themselves to the digital era. However, there are many regional, under-resourced languages that face challenges as they still lack developments in language technology. One such language family is the Dravidian family of languages. Dravidian languages <https://en.wikipedia.org/wiki/Dravidian_languages> are primarily spoken in south India and Sri Lanka. Pockets of speakers are found in Nepal, Pakistan, Malaysia, other parts of India and elsewhere in the world. The Dravidian languages, which are 4,500 years old and spoken by millions of speakers, are under-resourced in speech and natural language processing. The Dravidian languages are divided into four groups: South, South-Central, Central, and North groups. Dravidian morphology is agglutinating and exclusively suffixal. Syntactically, Dravidian languages are head-final and left-branching. They are free-constituent order languages. To improve access to and production of information for monolingual speakers of Dravidian languages, it is necessary to have speech and language technologies. The aim of these workshops is to save the Dravidian languages from extinction in technology. This is the first workshop on speech and language technologies for Dravidian languages. The broader objectives of DravidianLangTech-2024 will be - To investigate challenges related to speech and language resource creation for Dravidian languages. - To promote research in speech and language technology in Dravidian languages. - To adopt appropriate language technology models which suit Dravidian languages. - To provide opportunities for researchers from the Dravidian language community from around the world to collaborate with other researchers. Our workshop theme focuses on being more inclusive and providing a platform for researchers to create Language Technologies (LT) of a more inclusive nature. We hope that through these engagements we can develop LT tools to be more inclusive of everyone, including marginalized people. Call for Papers DravidianLangTech-2024 welcomes theoretical and practical paper submission on any Dravidian languages (Tamil, Kannada, Malayalam, Telugu, Tulu, Allar, Aranadan, Attapadya, Kurumba, Badaga, Beary, Betta Kurumba, Bharia, Bishavan, Brahui, Chenchu, Duruwa, Eravallan, Gondi, Holiya, Irula, Jeseri, Kadar, Kaikadi, Kalanadi, Kanikkaran, Khiwar, Kodava, Kolami, Konda, Koraga, Kota, Koya, Kurambhag Paharia, Kui, Kumbaran, Kunduvadi, Kurichiya, Kurukh, Kurumba, Kuvi, Madiya, Mala Malasar, Malankuravan, Malapandaram, Malasar, Malto, Manda, Muduga, Mullu Kurumba, Muria, Muthuvan, Naiki, Ollari, Paliyan, Paniya, Pardhan, Pathiya, Pattapu, Pengo, Ravula, Sholaga, Thachanadan, Toda, Wayanad Chetti, and Yerukala) that contributes to research in language processing, speech technologies or resources for the same. We will particularly encourage studies that address either practical application or improving resources for a given language in the field. We invite submissions on topics that include, but are not limited to, the following: - Code-mixing/ Code-switching - Cognitive Modeling and Psycholinguistics - Computer-assisted language learning (CALL) - Corpus development, tools, analysis and evaluation - COVID-19 alert, NLP Applications for Emergency Situations and Crisis Management - Equality, Diversity, and Inclusion - Fake New, Spam, and Rumor Detection - Hate speech detection and Offensive Language Detection - Lexicons and Machine-readable dictionaries - Linguistic Theories, Phonology, Morphological analysis, Syntax and Semantics - Machine Translation, Sentiment Analysis, and Text summarization - Multimodal Analysis- Image Captioning and Video Captioning - Speech technology and Automatic Speech Recognition Important dates - Workshop paper due: *December 12, 2023* - Direct Submission deadline (pre-reviewed ARR & main conference): January 17, 2024 - Notification of acceptance: January 15, 2024 - Camera-ready papers due: January 25 2024 - Workshop dates: March 21-22, 2024 Submission Link: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/DravidianLangTe… with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://www.universityofgalway.ie/our-research/people/bharathirajaasokachak…

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Invitation to join webinar: "Breaking ground: Discussing the present and the future of Data-driven learning" - December 4
by PASCUAL FRANCISCO PEREZ PAREDES 21 Nov '23

21 Nov '23

Breaking ground: Discussing the present and the future of Data-driven learning – Online seminar December 4, 2023, 10:00 - 13:00 This online seminar aims to provide a stage for new voices to share their experiences on DDL research and their vision for its development. It is the result of a collaboration between the ATILF/University of Lorraine and the University of Murcia to bring together current and innovative research from current and future specialists in DDL . The webinar will take place on 4th December 2023 and it will consist of a 2-hour session in which early-career researchers will present their novel takes on DDL, followed by a 1-hour roundtable with experienced researchers (Alex Boulton-U. Lorraine, Elisa Corino-U. Torino and Pascual Pérez-Paredes -U. Murcia) and everyone involved in the webinar. Click below to register. It’s free. https://umurcia.zoom.us/webinar/register/WN_DuBwB0RnSUGzGfsxJ2i8jw#/registr… For speakers and more details: https://www.um.es/languagecorpora/breaking-ground/ Pascual Pérez-Paredes https://webs.um.es/pascualf/<https://webs.um.es/pascualf/miwiki/doku.php>

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Deadline approaching: Assistant/associate professor in NLP, ITU Copenhagen
by Christian Hardmeier 20 Nov '23

20 Nov '23

Assistant/Associate Professor in Natural Language Processing IT University of Copenhagen Application deadline: 26 November 2023 The computer science department at the IT University of Copenhagen is recruiting a new faculty member to join the natural language processing group. Candidates from any background and all areas of natural language processing are very welcome to apply! ITU is a small university with a motivated and engaged student community in Copenhagen, a city that consistently ranks as one of the most livable places in the world. If you have any questions, don’t hesitate to get in touch with me: chrha(a)itu.dk<mailto:chrha@itu.dk> More information and application link in the official job posting: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… Website of the NLP group at ITU: https://nlpnorth.github.io/ -- Christian Hardmeier, Associate Professor – https://christianhardmeier.rax.ch/ IT University of Copenhagen, Department of Computer Science

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Second Call for Papers: The 18th Linguistic Annotation Workshop
by Sophie Henning 18 Nov '23

18 Nov '23

***Second Call for Papers*** **Overview** Submission page: https://softconf.com/eacl2024/LAW-XVIII/ Website: https://sigann.github.io/LAW-XVIII-2024/ E-mail: law-xviii-2024(a)googlegroups.com **Workshop Description** LAW-XVIII will be the 18th annual meeting endorsed by the ACL Special Interest Group for Annotation (SIGANN). It will take place in March 2024 at EACL in St. Julians, Malta. Linguistic annotation of natural language corpora is the backbone of supervised methods in both statistical and neural natural language processing. Annotated corpora are also a major supporting source of information for unsupervised methods, multitask learning, and evaluation of both NLP tools and theories about language within and outside of linguistics. The LAW-XVIII will provide a forum for presentation and discussion of innovative research on all aspects of linguistic annotation, including creation/evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, semi-supervised “human in the loop” methods of annotation, crowd-sourcing approaches, and more. The LAW will also provide a forum for annotation researchers to work towards standardization, best practices, and interoperability of annotation information and software. In line with the EACL main conference, LAW will be hybrid, allowing both in-person and virtual presentations. **Special Theme** The special theme of LAW-XVIII is “Annotation in the Age of Large Language Models (LLMs).” In addition to LAW’s general topics, we specifically invite submissions on the following topics: - Comparison of linguistically annotated datasets vs. datasets created using large language models. Potential topics include: - Comparison of models that have been trained on the respective datasets - Impact of data size of manually annotated resources already available prior to dataset creation with LLMs - Is synthetic dataset creation a viable option for non-standard domains, e.g., the medical domain, where expert knowledge is required? - Non-performance-related considerations of manual vs. synthetic dataset creation (e.g., explainability) - Impact and prevention of test dataset contamination in LLM training - Usefulness of LLMs for linguistic research (in relation to annotation). - Any other topics related to the special theme. **Submissions** We accept both direct submissions and commitments from ACL Rolling Review (ARR). We welcome submissions of long and short papers, posters, and demonstrations relating to the special theme or any aspect of linguistic annotation, including: - Annotation procedures - Innovative automated and manual strategies for annotation - Machine learning and knowledge-based methods for automation of corpus annotation - Creation, maintenance, and interactive exploration of annotation structures and annotated data - Annotation evaluation - Inter-annotator agreement and other evaluation metrics and strategies - Qualitative evaluation of linguistic representations - Innovative means to evaluate annotation quality - Annotation access and use - Representation formats/structures for annotations of different phenomena, especially annotations at multiple levels, and means to explore/manipulate them - Linguistic considerations for merging annotations of distinct phenomena - Annotation schemes, guidelines and standards - New and innovative annotation schemes, comparison of annotation schemes - Methodologies and resources for annotation scheme development - Best practices for annotation procedures and/or development and documentation of annotation schemes - Interoperability of annotation formats and/or frameworks among different systems as well as different tasks, frameworks, modalities, and languages - Results from the application and evaluation of standards for linguistic annotation - Annotation software and frameworks - Development, evaluation and/or innovative use of annotation software frameworks Submissions should report original and unpublished research on topics of interest to the workshop. We also invite substantiated position papers, in particular with regard to our special theme. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should emphasize obtained results rather than intended work, and should indicate clearly the state of completion of the reported results. A paper accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Long/short paper submissions must use the official ACL style templates. Long papers must not exceed eight (8) pages of content. Short papers and demonstration papers must not exceed four (4) pages of content. References do not count against these limits. Note: The supplementary material does not count towards page limit and should not be included in the paper, but should be submitted separately using the appropriate field on the submission website. All submissions must be in PDF format. Reviewing of papers will be double-blind. Therefore, the paper must not include the authors’ names and affiliations or self-references that reveal the authors’ identity--e.g., "We previously showed (Smith, 1991) ..." should be replaced with citations such as "Smith (1991) previously showed ...". Papers that do not conform to these requirements will be rejected without review. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop co-chairs (law-xviii-2024(a)googlegroups.com). Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason. We follow previous and current ACL policy to establish an anonymity period (from submission to author notification) during which non-anonymous posting of preprints is not allowed. Also included in that policy are instructions to reviewers to not rate papers down for not citing recent preprints. Authors are asked to cite published versions of papers instead of preprint versions when possible. Papers can be submitted at https://softconf.com/eacl2024/LAW-XVIII/. If you have any questions, please feel free to contact the program co-chairs via e-mail or check the workshop website (https://sigann.github.io/LAW-XVIII-2024/) for updates. **Dates** (All submission deadlines are 11:59 p.m. UTC-12:00 “anywhere on Earth”) Anonymity period starts: November 18, 2023 Submission of long and short papers: December 18, 2023 ARR Commitment deadline: January 17, 2024 Notification of acceptance: January 20, 2024 Camera-ready papers due: January 30, 2024 Workshop: March 21 or 22, 2024 **Workshop Organizers** Manfred Stede (Program Co-Chair) Sophie Henning (Program Co-Chair) Amir Zeldes (ACL SIGANN President) Ines Rehbein (ACL SIGANN Secretary)

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Invitation to the 1st Linguistics Biennial Conference (Kuwait University)
by lsbc＠ku.edu.kw 17 Nov '23

17 Nov '23

Dear all, I am delighted to invite you to The 1st Linguistics Studies Biennial Conference (LSBC 2024), organised by the Department of English Language and Literature (DELL) at Kuwait University, Kuwait. The conference will take place on March 4-5, 2024. The theme of the conference is " Current trends in applied linguistic research: corpus and AI perspectives". The conference aims to bring together researchers, practitioners, and educators from various disciplines and fields related to applied linguistics, such as psycholinguistics, sociolinguistics, pragmatics, discourse analysis, language policy, and intercultural communication. LSBC’s keynote speakers are: 1. Professor Stefan TH. Gries 2. Professor Jukka Tyrkko 3. Dr Teresa Lynn 4. Dr Robbie Love 5. Dr Tobias Bernaisch If you are registering as an attendee, kindly follow this link: https://forms.office.com/r/ashhu17hsP In order to participate, please email your paper, abstract, or research findings to: lsbc(a)ku.edu.kw Venue: The Pearl at Kuwait University Submission deadline: 10 December 2023 Announcement of accepted talks: 2 January 2024 By accepting this invitation, you have the opportunity to showcase your knowledge and expertise to a wider audience. As renowned scholars and experts in your fields, we believe that your insights and perspectives will greatly enrich the conference and inspire the participants. If you are interested in participating in our upcoming conference, please take a moment to submit your papers or abstracts. Your contributions are highly encouraged. Furthermore, I kindly request that you share the information regarding the conference with your network. You can send it through your academic channels, such as email lists, social media groups, or academic journals, to ensure that as many colleagues and students as possible are aware of the opportunity. Sharing the website link and our Twitter account would be very helpful in increasing the visibility of LSBC 2024. X (Twitter) account: @lsbcatdell Website: http://kuweb.ku.edu.kw/ICL/index.htm I look forward to hearing from you soon and hope that you will join us at LSBC 2024. If you have any questions or require any further information, please do not hesitate to reach out to me. Thank you for your cooperation. Best regards, Dr Mohammad Alenezi Conference Chair

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Postdoc in cognitive modelling of language processing at Saarland University
by Vera Demberg 17 Nov '23

17 Nov '23

2-year postdoctoral position We are inviting applications for one postdoctoral position (funding available until 01/2026, start date flexible; contract renewal may be possible afterwards) of a computer scientist, cognitive scientist, computational linguist or psycholinguist, who has experience with or interest in experimental research and/or cognitive modelling for language processing (e.g., Bayesian models, and/or models using cognitive architectures like ACT-R; the use of LLMs and their combination with cognitive architectures will also be explored). The position will be funded as part of the ERC Starting Grant "Individualized Interaction in Discourse" of Prof. Vera Demberg, at Saarland University. The goal of the position is to develop models that capture individual differences in discourse and pragmatic processing. The candidate will conduct research on the design and implementation of psycholinguistic experiments and/or cognitive models of language processing at the level of discourse and/or pragmatic processing. These models should capture individual differences in cognition such as working memory, language experience, background knowledge, theory-of-mind abilities etc. The successful applicant must have excellent spoken and written proficiency in English, and have a background in natural language processing or cognitive modelling. This is a position on the German TV-L E13 scale (100% position at the postdoc level). The starting salary of a 100% TV-L E13 position is a bit over 50,000 Euros per year and increases with experience. The initial appointment will be for three years; the position can be extended up to the limits of the German law for academic contracts (WissZeitVG). The starting date is January 2024 or later; we would be willing to adapt to the time requirements of an ideal candidate. About the research environment Saarland University is one of the leading centers for computational linguistics and computer science in Europe, and offers a dynamic and stimulating research environment. The Department of Language Science and Technology consists of about 100 research staff in nine research groups in the fields of computational linguistics, psycholinguistics, speech processing, and corpus linguistics. Saarland University is one of the leading centres for computer science and computational linguistics in Europe, and offers a dynamic and stimulating research environment. The group is affiliated with both the Department of Computer Science, with the Department of Language Science and Technology and with the MPI for Informatics. The department is a core member of the new Research Training Group "Neuroexplicit Models of Language, Vision, and Action", which is on track to grow into one of the largest centers for research on neurosymbolic models in NLP and other fields of AI in the world. It is also the centerpiece of the Collaborative Research Center 1102 "Information Density and Linguistic Encoding" and part of the Saarland Informatics Campus, which brings together computer science research at the university with world-class research institutions on campus, such as the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI). The Saarland Informatics Campus brings together 900 researchers and 2100 students from 81 countries; SIC faculty have won 36 ERC grants. Saarland University is located in Saarbrücken, a mid-sized city in the tri-border area of Germany, France, and Luxembourg. Saarbrücken combines a lively culture scene with a relaxed atmosphere, and is quite an affordable place to live in. Our department maintains an international and diverse work environment. The primary working language is English; learning German while you are here will make it easier to connect with the local culture, but is not necessary for your work. How to apply Please submit your application by email to applications-vd(a)lst.uni-saarland.de. Preference will be given to applications received by *6 December 2023*. Please quote opening number W2403 in your application materials. Include a single PDF file with the following information: • a statement of research interests that motivates why you are applying for this position and outlines your research agenda; • a full CV including your list of publications; • scans of transcripts and academic degree certificates; • the names, affiliations, and e-mail addresses of two people who can provide letters of reference for you. Saarland University especially welcomes applications from women and people with disabilities. If you have further questions, please email Vera Demberg <demberg(a)lst.uni-saarland.de>.

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Postdoctoral position in natural language processing, Univ. Lorraine, Nancy, France
by Mathieu Constant 17 Nov '23

17 Nov '23

The Research unit ATILF (Computer Processing and Analysis of the French Language) offers a postdoctoral position in natural language processing (NLP). Topic: Discovery of multiword expressions, their meaning and their linguistic properties in texts using large language models Location: ATILF, Nancy, France Starting date: from February 2024 Duration: 12 months (possibility to extend the duration for one more year) Supervisors: Mathieu Constant (Univ. Lorraine, France) and Agata Savary (Univ. Paris-Saclay, France) Salary: depends on experience after PhD and salary grids, from 3070 (<2-year experience) to 4465 euros (>7-year-experience) before tax Application deadline: 5th December 2023 Subject. The term « multiword expression » refers to a combination of multiple lexical items that displays irregular composition possibly on different linguistic levels (morphology, syntax, semantics, …). They include a large variety of phenomena such as idioms (run around in circles), support verb constructions (take a walk), nominal compounds (dry run), complex function units (in spite of). They have been the subject of extensive research work in the NLP community over the last 50 years. The goal of this post-doc position is to investigate new methods for discovering multiword expressions, their meaning and their linguistic properties in texts, in order to enrich an induced semantic lexicon with new multiword entries, definitions, argumental structure, and other properties. The emergence of Large Language Models (LLM) opens new promising perspectives for multiword expressions, not only regarding their semantic compositionality but also their linguistic characterization. The methods will be primarily experimented on French, but other languages are also possible. Context. The position is part of the SELEXINI project (https://selexini.lis-lab.fr <https://selexini.lis-lab.fr/>, 2022-2026) funded by the French National Research Agency (ANR). The goal of the SELEXINI project is to develop next-generation lexicon induction methods for natural language processing. The induced lexicons will not only cluster word usages according to their senses, but also contain multiword expressions, argumental structure, generated definitions, etc, combining the power of large pre-trained language models and existing lexical resources to address the lack of interpretability and diversity in current language technology. The hired researcher will be fully integrated in the project team. Requirements. Applicants should hold a PhD thesis in computer science, in applied mathematics, in natural language processing, or in computational linguistics. Applications from PhD students planning their defense by December 31st, 2023 are also welcome. The hired post-doc researcher should have the following skills: expertise in deep learning for NLP and notably large language models excellent programming skills good linguistic skills good knowledge of French would be a plus team spirit Application. The applicants should submit a cover letter, a CV including their publications, a list of references for recommendation, a transcript of Master grades, on the following official web site: https://emploi.cnrs.fr/Offres/CDD/UMR7118-SABMAR-017/Default.aspx?Lang=EN <https://emploi.cnrs.fr/Offres/CDD/UMR7118-SABMAR-017/Default.aspx?Lang=EN>. The applications should be submitted not later than December 5.

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Postdoc in NLP or psycholinguistics at Saarland University
by Vera Demberg 17 Nov '23

17 Nov '23

Research and teaching position at Saarland University, Saarbrücken, Germany Start date: early 2024 Contract duration: 3 years (can be extended) Payscale: E13 100% (postdoc) We are looking to fill a research and teaching position in NLP or psycholinguistics at the at the research group of Prof. Vera Demberg. It offers great flexibility in developing your own research and teaching agenda, and collaborations with other research groups within the department of Language Science and Technology and/or at the department of Computer Science are encouraged. The position is flexible with respect to topic, but it should connect thematically with current topics of interest to the research group. These include neural natural language generation with specific focus on data-to-text generation, avoidance of hallucinations and personalized language generation, as well as computational models of discourse processing and pragmatics. Psycholinguistic experimental work within our group revolves around information-theoretic accounts of human language processing, as well as discourse processing and experimental pragmatics. We are especially interested in individual differences in discourse and pragmatic processing (see also our ERC project "Individualized Interaction in Discourse"). You should have expertise in neural and/or linguistically principled methods in NLP, or experimental methods for psycholinguistics. The position includes a teaching load of up to four hours per week and can be given within the BSc or MSc programs in Computational Linguistics, Computer Science or Data Science and Artificial Intelligence. Our study programs attract excellent and highly motivated students; it is not unusual for our students to publish papers at peer-reviewed conferences before graduation. The MSc students in particular are a very international crowd, with two thirds joining us from abroad. You will typically teach one seminar per semester on a topic of your choice, which will allow you to motivate students to do BSc and MSc theses under your supervision. This is a position on the German TV-L E13 scale (100% position at the postdoc level). The starting salary of a 100% TV-L E13 position is a bit over 50,000 Euros per year and increases with experience. The initial appointment will be for three years; the position can be extended up to the limits of the German law for academic contracts (WissZeitVG). The starting date is January 2024 or later; we would be willing to adapt to the time requirements of an ideal candidate. Requirements We are looking for candidates who have finished, or are about to complete, an excellent PhD degree in computational linguistics, computer science, psycholinguistics or a related discipline. You must be proficient in English (spoken and written). Applicants should have demonstrated their research expertise through high-quality publications. About the research environment Saarland University is one of the leading centers for computational linguistics and computer science in Europe, and offers a dynamic and stimulating research environment. The Department of Language Science and Technology consists of about 100 research staff in nine research groups in the fields of computational linguistics, psycholinguistics, speech processing, and corpus linguistics. The department is a core member of the new Research Training Group "Neuroexplicit Models of Language, Vision, and Action", which is on track to grow into one of the largest centers for research on neurosymbolic models in NLP and other fields of AI in the world. It is also the centerpiece of the Collaborative Research Center 1102 "Information Density and Linguistic Encoding" and part of the Saarland Informatics Campus, which brings together computer science research at the university with world-class research institutions on campus, such as the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI). The Saarland Informatics Campus brings together 900 researchers and 2100 students from 81 countries; SIC faculty have won 36 ERC grants. Saarland University is located in Saarbrücken, a mid-sized city in the tri-border area of Germany, France, and Luxembourg. Saarbrücken combines a lively culture scene with a relaxed atmosphere, and is quite an affordable place to live in. Our department maintains an international and diverse work environment. The primary working language is English; learning German while you are here will make it easier to connect with the local culture, but is not necessary for your work. How to apply: Please submit your application by email to applications-vd(a)lst.uni-saarland.de. Preference will be given to applications received by 6 December 2023. Please cite opening number 2402 when sending in your application materials. Include a single PDF file with the following information: • a statement of research interests that motivates why you are applying for this position and outlines your research agenda; • a full CV including your list of publications; • scans of transcripts and academic degree certificates; • the names, affiliations, and e-mail addresses of two people who can provide letters of reference for you. Saarland University especially welcomes applications from women and people with disabilities. If you have further questions, please email Vera Demberg <demberg(a)lst.uni-saarland.de>.

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2nd CFP - Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI) at EACL 2024 in Malta
by Nina Hosseini-Kivanani 17 Nov '23

17 Nov '23

Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI) at EACL 2024 in Malta-March 17-22 2024. Workshop website: https://sites.google.com/view/teicai2024 Submission link: https://softconf.com/eacl2024/TEICAI-2024/ Conversational language technologies (chatbots, voice assistants, and multimodal conversational interfaces) are becoming increasingly complex and common in everyday life. Various language theories (such as speech act theory, politeness theory, conversation analysis, and interaction theory) have started influencing their development. At the same time, the development of these technologies is often driven by technology-related concerns and tends to overlook users’ needs and socio-cultural contexts. This combined with the scarcity of human rights regulation of AI, raises concerns about linguistic discrimination, exclusion, surveillance, and security risks. In addition, training data for conversational AI mostly comes from written rather than interaction-based language data sets and often does not include gestural, social, and emotional aspects that are fundamental to human interaction. In the same vein, Sign Language is rarely facilitated. To promote a positive impact of conversational technology on linguistic diversity and inclusion, it is imperative to strike a balance between technological concerns and socially relevant matters. Our workshop aims to address these issues by using a holistic approach that involves dialogue and collaboration among technologists, linguists, policymakers, and communities involved in the development and commissioning of conversational AI systems. To foster dialogue towards a multidisciplinary approach to the development of conversational AI that can better serve diverse global audiences, we welcome submissions on a range of topics related to language ideologies and language rights, in relation to conversational language technology and AI (e.g. chatbots, voice assistants, multimodal conversational interfaces). Possible topics may include: - Language ideologies in conversational AI - Language rights in conversational AI - Socio-cultural context in conversational AI - Language inclusion in training data for enhancing inclusivity - Incorporating non-verbal communication elements (gestures, emotions) in AI - Sign language and multimodal conversational AI - Audience design in conversational AI (tailoring systems to meet specific audiences’ needs and preferences) - The sense of human agency and identity while interacting with conversational AI - Addressing challenges and opportunities of conversational AI development (case studies, models of effective collaborations) - Linguistic discrimination in conversational AI - Perspectives of communities affected by conversational AI systems: needs, concerns, and expectations We invite authors to submit original, unpublished work (long, short, and position papers). Each submission will be reviewed by 2-3 members of the Programme Committee. Participants should format their submissions using the EACL template, available for LaTeX/Overleaf and all submissions must be in PDF format. All accepted papers (long, short, and position papers) will be included in the workshop proceedings. The proceedings will be published in the ACL anthology. Important dates: Workshop paper due: December 18, 2023 Direct Submission deadline (pre-reviewed ARR & main conference): January 17, 2024 Notification of acceptance: January 20, 2024 Camera-ready papers due: January 30, 2024 Proceedings due: February 7, 2024 Workshop dates: March 21-22, 2024 Organizers: Sviatlana Höhn, LuxAI, Luxembourg Nina Hosseini-Kivanani, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, Luxembourg Dimitra Anastasiou, Luxembourg Institute of Science and Technology, Luxembourg Angela Soltan, State University of Moldova, Moldova Bettina Migge, University College Dublin, Ireland Doris Dippold, University of Surrey, UK Fred Philippy, Zortify, Luxembourg Ekaterina Kamlovskaya, Translatables For any preliminary questions, you're welcome to reach out to teicai2024(a)gmail.com . You can follow us on LinkedIn (TEICAI) and Twitter (teicai2024) to get more updates about the workshop. On behalf of the organizers team Nina Hosseini-Kivanani University of Luxembourg

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Second CFP-Fourth Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI-2024) at EACL 2024-reg
by Bharathi Raja Asoka Chakravarthi 17 Nov '23

17 Nov '23

Apologies for cross posting *Fourth Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI-2024) at EACL 2024* *Website link: https://sites.google.com/view/lt-edi-2024/ <https://sites.google.com/view/lt-edi-2024/>* Equality, Diversity and Inclusion (EDI) is an important agenda across every field throughout the world. Language as a major part of communication should be inclusive and treat everyone with equality. Today’s large internet community uses language technology (LT) and has a direct impact on people across the globe. EDI is crucial to ensure everyone is valued and included, so it is necessary to build LT that serves this purpose. Recent results have shown that big data and deep learning are entrenching existing biases and that some algorithms are even naturally biased due to problems such as ‘regression to the mode’. Our focus is on creating LT that will be more inclusive of gender, racial, sexual orientation, persons with disability. The workshop will focus on creating speech and language technology to address EDI not only in English, but also in less resourced languages. The broader objective of LT-EDI-2024 will be - To investigate challenges related to speech and language resource creation for EDI. - To promote research in inclusive LT. - To adopt and adapt appropriate LT models to suit EDI. - To provide opportunities for researchers from the LT community around the world to collaborate with other researchers to identify and propose possible solutions for the challenges of EDI. Our workshop theme focuses on being more inclusive and providing a platform for researchers to create LT of a more inclusive nature. We hope that through these engagements we can develop LT tools to be more inclusive of everyone, including marginalized people. *Call for Papers:* Our main theme in this workshop is equality, diversity, and inclusivity in LT. We invite researchers and practitioners to submit papers reporting on these issues and datasets to avoid these issues. We also encourage qualitative studies related to these issues and how to avoid them. LT-EDI-2024 welcomes theoretical and practical paper submissions on any languages that contribute to research in Equality, Diversity and Inclusion. We will particularly encourage studies that address either practical application or improving resources. *Topics of interest include, but are not limited to:* - Data set development to include EDI - Gender inclusivity in LT - LGBTQ+ inclusivity in LT - Racial inclusivity in LT - Persons with disability inclusivity in LT - Speech and language recognition for minority groups - Unconscious bias and how to avoid them in natural language processing, machine learning and other LT technologies. - Tackling rumours and fake news about gender, racial, and LGBTQ+ minorities. - Tackling discrimination against gender, racial, and LGBTQ+ minorities. Submissions: At LTEDI we accept the following submission types: - Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to 8 pages of content, plus unlimited pages for references and appendices. Upon acceptance, long papers will be given one additional page of content (i.e. up to 9 pages) in the proceedings so that reviewers’ comments can be taken into account. - Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages. Short papers may consist of up to 4 pages of content, plus unlimited references and appendices. Upon acceptance, short papers will be given one additional page of content (i.e. up to 5 pages) in the proceedings so that reviewers’ comments can be taken into account. - Poster and demo submissions should be no longer than 4 pages (plus unlimited number of pages for references and ethics/broader impact statement). More information on submission can be found at https://sites.google.com/view/lt-edi-2024/submission For electronic submission of all papers, please use: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/LTEDI *Important Dates* - Workshop paper due: December 12, 2023 - Direct Submission deadline (pre-reviewed ARR & main conference) January 17, 2024 - Notification of acceptance: January 15, 2024 - Camera-ready papers due: January 25 2024 - Workshop dates: March 21-22, 2024 with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://www.universityofgalway.ie/our-research/people/bharathirajaasokachak…

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3 PhD positions on disagreement and meaning variation at the University of Utrecht
by d.p.nguyen＠uu.nl 16 Nov '23

16 Nov '23

** Job openings: PhD studentships on meaning variation in NLP ** Utrecht University, The Netherlands The Natural Language Processing (NLP) group in the Computing and Information Sciences department of Utrecht University (UU) is offering PhD positions in AI / NLP. Three four-year positions are available as part of the AiNed project “Dealing with Meaning Variation in NLP”, a collaboration between AI and Data Science and the Language Sciences Institute led by Prof. Massimo Poesio. The overall aim of the project is to allow NLP models to make better sense of variations in the ways that different speakers and readers interpret language. Positions are available to of the following projects: PhD PROJECT 1: Variation in coreference and reference Early research on learning from data with disagreement in Natural Language Processing (NLP) was often motivated by findings about anaaphoic reference - it turns out that often people disagree on what these pronouns mean, particularly in conversations. Methods for learning from data with disagreements (`learning from crowds’) have been successfully applied to other types of data containing disagreements, and substantial data sets containing multiple judgments on anaphoric reference now exist. But computational models of referring expression interpretation that can effectively learn from such data sets do not yet exist. Training co-reference models ‘from crowds’ has proven to be challenging, and there is no consensus over the question of how to test/evaluate interpretation models that take variation into account. This project will focus on addressing such challenges. It will also develop metrics that do justice to interpretative variation for co-reference, and use these metrics to test models. Ideally, the development of these metrics will be informed by cognitive and behavioural evidence on the processing of reference. For this project, we are looking for a motivated researcher with a Master’s degree in Artificial Intelligence, Deep Learning, Computational Cognitive Science, Computer Science, Linguistics, or Statistics. A good mastery of deep learning and of NLP is essential. An understanding of coreference and discourse understanding would be a definite bonus. PhD PROJECT 2: Subjectivity in the detection of problematic language Variation in interpretation is particularly frequent with judgments that depend on an individual’s subjective biases, such as deciding whether a joke is funny or not. This PhD project focuses on NLP methods for subjective interpretive tasks with a high societal relevance, such as offensive/abusive language detection, used e.g., by social media platforms to identify cases of problematic use of language that can be harmful to people. Judgments on whether a given utterance is problematic are notoriously subjective, where differences between judges can have difficult cultural, ethnic, and racial overtones. The project will develop models for detecting problematic language that take into account the fact that the judgments involved can be controversial. For this project, we are looking for a motivated researcher with a Master’s degree in Artificial Intelligence, Computational Cognitive Science, Computing Science, Computational Social Science, Linguistics, or Statistics. A good mastery of deep learning and of NLP is essential. An understanding of social science methodology would be a definite bonus. PhD PROJECT 3: Conflicting interpretations in dialogue In conversations, we produce language under time pressure. One of the effects of this time pressure is that less attention is paid ensuring that expressions can be interpreted univocally, resulting in misunderstandings that often go undetected. Such misunderstandings between dialogue partners cause problems for all aspects of NLP research. The first problem is that specifying that an expression was interpreted in one way by one participant and in another way by the other participant is difficult with present annotation methods. In turn, this makes it difficult to train models that can produce participant-specific interpretations and/or recognise disagreements in interpretation. In this project you will study misunderstandings in dialogue and how conversational agents can recognise and resolve them. For this project, we are looking for a motivated researcher with Master’s degree in Artificial Intelligence, Computational Cognitive Science, Computing Science, Conversational Agents, Linguistics, or Statistics. A good mastery of deep learning, of dialogue, and of conversational agents is essential. FOR MORE INFORMATION AND TO APPLY Further information about these vacancies can be found at: Project 1: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po… Project 2: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po… Project 3: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po… The deadline for application is December 3rd 2023. We’re looking for someone to start as soon as possible after the recruitment process is concluded but we understand that it will normally take a few months before the candidate will be ready to start. Applications should be made through the University's site (see links above). CONTACTS For further information, please contact: - Prof. Massimo Poesio (m.poesio AT uu.nl) (all projects) - Project 1: Prof. Yoad Winter (y.winter AT uu.nl) - Project 2: Dr. Dong Nguyen (d.p.nguyen AT uu.nl) or Prof. Antal van der Bosch (a.p.j.vandenbosch AT uu.nl) - Project 3: Prof. Albert Gatt (a.gatt AT uu.nl) or Dr. Denis Paperno (d.paperno AT uu.nl)

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PhD position on LLMs for Software Engineering
by Saad Ezzini 16 Nov '23

16 Nov '23

PhD on LLMs for Software Engineering Are you passionate about making significant contributions to the development of resilient and adaptable Artificial Intelligence (AI), Natural Language Processing (NLP), and Large Language Models (LLMs) tailored for the field of Software Engineering? We at the School of Computing and Communications at Lancaster University, UK, are offering an exciting opportunity for a fully funded 3.5-year Ph.D. studentship. Project information: The Ph.D. will focus on developing robust AI and NLP -based methods that can improve the software development cycle, including software requirements, user feedback, software patches, and more. Depending on the student's profile, a particular focus would be identifying pitfalls of current AI models with text-to-code and code-to-text transformation and working on creating or enhancing transformation techniques on related tasks. - Start date: January or April 2024 - Deadline for application: 15 December 2023 - Interviews: shortly after the deadline Eligibility The studentship is available only for applicants who are eligible for Home Fee status (UK Home students). The minimum entry requirement for a PhD is a 2:1 honours degree in Computer Science or other relevant discipline. Excellent written and oral communication in English is a prerequisite. We are looking for individuals with a genuine interest, and ideally experience, in software engineering, artificial intelligence or natural language processing and should be able to demonstrate strong computer programming skills. Candidates with evidence of research skills, such as involvement in a significant Bachelors/Masters project comprising experimental research or peer-reviewed publications will be considered a plus. For questions regarding entry requirements and admission, please direct your inquiries to Lancaster University’s Admissions Office at pgadmissions(a)lancaster.ac.uk. Funding This PhD studentship is open to UK home students only and covers university tuition fees for 3.5 years and a tax-free maintenance grant (stipend) of £17,668k per annum. The studentships also include funding to support travel costs to present research at national and international conferences. International students are not eligible for this studentship. If you are an international student and still wish to apply, you will have to secure your own funding.How to Apply You will be supervised by Dr Saad Ezzini and Dr Mo El-Haj. If you consider applying, you should first contact them informally to discuss your interest by emailing s.ezzini(a)lancaster.ac.uk and m.el-haj(a)lancaster.ac.uk (Please use the following reference in the email subject [PHD-LLM4SE]). Dr Ezzini: https://www.lancaster.ac.uk/staff/ezzini Dr El-Haj: https://www.lancaster.ac.uk/staff/elhaj Why Lancaster Lancaster University is among the best in the UK. We're top 10 in The Complete University Guide 2024 and consistently placed in the top 15 in major UK league tables. We also rank highly in international league tables such as the QS World Rankings. We provide a diverse, inclusive and stimulating research environment in the School of Computing and Communications. You will have access to outstanding research facilities and to a wide range of training opportunities for your personal and professional development. In the School, you will become part of the lifeblood of our community of over 200 research staff and students, housed in the iconic InfoLab21 building on the University’s main campus, located in beautiful countryside just outside the city of Lancaster. More: https://www.lancaster.ac.uk/study/why-lancaster/ ------ Dr Saad Ezzini Lecturer in Computer Science School of Computing and Communications Infolab21, Lancaster University, Lancaster, LA1 4WA

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Universal Dependencies, release 2.13
by Dan Zeman 15 Nov '23

15 Nov '23

We are very happy to announce the nineteenth release of annotated treebanks in Universal Dependencies, v2.13, available at http://universaldependencies.org/. Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective (de Marneffe et al., 2021; Nivre et al., 2020). The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008). The general philosophy is to provide a universal inventory of categories and guidelines to facilitate consistent annotation of similar constructions across languages, while allowing language-specific extensions when necessary. The *259* treebanks in v2.13 are annotated according to version 2 of the UD guidelines and represent the following *148 languages:* Abaza, Afrikaans, Akkadian, Akuntsu, Albanian, Amharic, Ancient Greek, Ancient Hebrew, Apurina, Arabic, Armenian, Assyrian, Bambara, Basque, Beja, Belarusian, Bengali, Bhojpuri, Bororo, Breton, Bulgarian, Buryat, Cantonese, Catalan, Cebuano, Chinese, Chukchi, Classical Armenian, Classical Chinese, Coptic, Croatian, Czech, Danish, Dutch, English, Erzya, Estonian, Faroese, Finnish, French, Frisian Dutch, Galician, Georgian, German, Gheg, Gothic, Greek, Guajajara, Guarani, Haitian Creole, Hebrew, Highland Puebla Nahuatl, Hindi, Hittite, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kaapor, Kangri, Karelian, Karo, Kazakh, Khunsari, Kiche, Komi Permyak, Komi Zyrian, Korean, Kurmanji, Kyrgyz, Latin, Latvian, Ligurian, Lithuanian, Livvi, Low Saxon, Macedonian, Madi, Maghrebi Arabic French, Makurap, Malayalam, Maltese, Manx, Marathi, Mbya Guarani, Middle French, Moksha, Munduruku, Naija, Nayini, Neapolitan, Nheengatu, North Sami, Norwegian, Old Church Slavonic, Old East Slavic, Old French, Old Irish, Old Turkish, Persian, Polish, Pomak, Portuguese, Romanian, Russian, Sanskrit, Scottish Gaelic, Serbian, Sinhala, Skolt Sami, Slovak, Slovenian, Soi, South Levantine Arabic, Spanish, Swedish, Swedish Sign Language, Swiss German, Tagalog, Tamil, Tatar, Teko, Telugu, Thai, Tupinamba, Turkish, Turkish German, Ukrainian, Umbrian, Upper Sorbian, Urdu, Uyghur, Veps, Vietnamese, Warlpiri, Welsh, Western Armenian, Western Sierra Puebla Nahuatl, Wolof, Xavante, Xibe, Yakut, Yoruba, Yupik and Zaar. The 148 languages belong to *31 families:* Afro-Asiatic, Arawakan, Arawan, Austro-Asiatic, Austronesian, Basque, Bororoan, Chukotko-Kamchatkan, Code switching, Creole, Dravidian, Eskimo-Aleut, Indo-European, Japanese, Kartvelian, Korean, Macro-Je, Mande, Mayan, Mongolic, Niger-Congo, Northwest Caucasian, Pama-Nyungan, Sign Language, Sino-Tibetan, Tai-Kadai, Tungusic, Tupian, Turkic, Uralic and Uto-Aztecan. Depending on the language, the treebanks range in size from less than 1,000 tokens to over 3 million tokens. We expect the next release to be available in May 2024. The size of the following 23 treebanks changed significantly since the last release: Ancient Greek PTNK : 0 → 39509 Beja NSC : 857 → 1206 Bororo BDT : 692 → 1905 Chinese Beginner : 0 → 19999 Chinese PatentChar : 2160 → 4784 Classical Armenian CAVaL : 0 → 13522 Czech Poetry : 0 → 6288 Georgian GLC : 0 → 2335 Haitian Creole Autogramm : 0 → 3278 Highland Puebla Nahuatl ITML: 0 → 10103 Italian Old : 0 → 41367 Low Saxon LSDC : 2935 → 4683 Macedonian MTB : 0 → 1360 Middle French PROFITEROLE : 0 → 12025 Nheengatu CompLin : 8604 → 12743 Old East Slavic Ruthenian : 10011 → 96803 Old French SRCMF : 199699 → 0 Old French PROFITEROLE : 0 → 227137 Portuguese GSD : 0 → 318666 Portuguese Porttinari : 0 → 168080 Russian Poetry : 0 → 64112 Teko TuDeT : 2272 → 2896 Veps VWT : 0 → 1303 Daniel Zeman, Joakim Nivre, Mitchell Abrams, Elia Ackermann, Noëmi Aepli, Hamid Aghaei, Željko Agić, Amir Ahmadi, Lars Ahrenberg, Chika Kennedy Ajede, Salih Furkan Akkurt, Gabrielė Aleksandravičiūtė, Ika Alfina, Avner Algom, Khalid Alnajjar, Chiara Alzetta, Erik Andersen, Lene Antonsen, Tatsuya Aoyama, Katya Aplonova, Angelina Aquino, Carolina Aragon, Glyd Aranes, Maria Jesus Aranzabe, Bilge Nas Arıcan, Þórunn Arnardóttir, Gashaw Arutie, Jessica Naraiswari Arwidarasti, Masayuki Asahara, Katla Ásgeirsdóttir, Deniz Baran Aslan, Cengiz Asmazoğlu, Luma Ateyah, Furkan Atmaca, Mohammed Attia, Aitziber Atutxa, Liesbeth Augustinus, Mariana Avelãs, Elena Badmaeva, Keerthana Balasubramani, Miguel Ballesteros, Esha Banerjee, Sebastian Bank, Verginica Barbu Mititelu, Starkaður Barkarson, Rodolfo Basile, Victoria Basmov, Colin Batchelor, John Bauer, Seyyit Talha Bedir, Shabnam Behzad, Juan Belieni, Kepa Bengoetxea, İbrahim Benli, Yifat Ben Moshe, Gözde Berk, Riyaz Ahmad Bhat, Erica Biagetti, Eckhard Bick, Agnė Bielinskienė, Kristín Bjarnadóttir, Rogier Blokland, Victoria Bobicev, Loïc Boizou, Emanuel Borges Völker, Carl Börstell, Cristina Bosco, Gosse Bouma, Sam Bowman, Adriane Boyd, Anouck Braggaar, António Branco, Kristina Brokaitė, Aljoscha Burchardt, Marisa Campos, Marie Candito, Bernard Caron, Gauthier Caron, Catarina Carvalheiro, Rita Carvalho, Lauren Cassidy, Maria Clara Castro, Sérgio Castro, Tatiana Cavalcanti, Gülşen Cebiroğlu Eryiğit, Flavio Massimiliano Cecchini, Giuseppe G. A. Celano, Slavomír Čéplö, Neslihan Cesur, Savas Cetin, Özlem Çetinoğlu, Fabricio Chalub, Liyanage Chamila, Shweta Chauhan, Ethan Chi, Taishi Chika, Yongseok Cho, Jinho Choi, Jayeol Chun, Juyeon Chung, Alessandra T. Cignarella, Silvie Cinková, Aurélie Collomb, Çağrı Çöltekin, Miriam Connor, Claudia Corbetta, Daniela Corbetta, Francisco Costa, Marine Courtin, Benoît Crabbé, Mihaela Cristescu, Vladimir Cvetkoski, Ingerid Løyning Dale, Philemon Daniel, Elizabeth Davidson, Leonel Figueiredo de Alencar, Mathieu Dehouck, Martina de Laurentiis, Marie-Catherine de Marneffe, Valeria de Paiva, Mehmet Oguz Derin, Elvis de Souza, Arantza Diaz de Ilarraza, Carly Dickerson, Arawinda Dinakaramani, Elisa Di Nuovo, Bamba Dione, Peter Dirix, Kaja Dobrovoljc, Adrian Doyle, Timothy Dozat, Kira Droganova, Magali Sanches Duran, Puneet Dwivedi, Christian Ebert, Hanne Eckhoff, Masaki Eguchi, Sandra Eiche, Marhaba Eli, Ali Elkahky, Binyam Ephrem, Olga Erina, Tomaž Erjavec, Farah Essaidi, Aline Etienne, Wograine Evelyn, Sidney Facundes, Richárd Farkas, Federica Favero, Jannatul Ferdaousi, Marília Fernanda, Hector Fernandez Alcalde, Amal Fethi, Jennifer Foster, Theodorus Fransen, Cláudia Freitas, Kazunori Fujita, Katarína Gajdošová, Daniel Galbraith, Federica Gamba, Marcos Garcia, Moa Gärdenfors, Fabrício Ferraz Gerardi, Kim Gerdes, Luke Gessler, Filip Ginter, Gustavo Godoy, Iakes Goenaga, Koldo Gojenola, Memduh Gökırmak, Yoav Goldberg, Xavier Gómez Guinovart, Berta González Saavedra, Bernadeta Griciūtė, Matias Grioni, Loïc Grobol, Normunds Grūzītis, Bruno Guillaume, Kirian Guiller, Céline Guillot-Barbance, Tunga Güngör, Nizar Habash, Hinrik Hafsteinsson, Jan Hajič, Jan Hajič jr., Mika Hämäläinen, Linh Hà Mỹ, Na-Rae Han, Muhammad Yudistira Hanifmuti, Takahiro Harada, Sam Hardwick, Kim Harris, Dag Haug, Johannes Heinecke, Oliver Hellwig, Felix Hennig, Barbora Hladká, Jaroslava Hlaváčová, Florinel Hociung, Petter Hohle, Yidi Huang, Marivel Huerta Mendez, Jena Hwang, Takumi Ikeda, Anton Karl Ingason, Radu Ion, Elena Irimia, Ọlájídé Ishola, Artan Islamaj, Kaoru Ito, Sandra Jagodzińska, Siratun Jannat, Tomáš Jelínek, Apoorva Jha, Katharine Jiang, Anders Johannsen, Hildur Jónsdóttir, Fredrik Jørgensen, Markus Juutinen, Hüner Kaşıkara, Nadezhda Kabaeva, Sylvain Kahane, Hiroshi Kanayama, Jenna Kanerva, Neslihan Kara, Ritván Karahóǧa, Andre Kåsen, Tolga Kayadelen, Sarveswaran Kengatharaiyer, Václava Kettnerová, Lilit Kharatyan, Jesse Kirchner, Elena Klementieva, Elena Klyachko, Petr Kocharov, Arne Köhn, Abdullatif Köksal, Kamil Kopacewicz, Timo Korkiakangas, Mehmet Köse, Alexey Koshevoy, Natalia Kotsyba, Jolanta Kovalevskaitė, Simon Krek, Parameswari Krishnamurthy, Sandra Kübler, Adrian Kuqi, Oğuzhan Kuyrukçu, Aslı Kuzgun, Sookyoung Kwak, Kris Kyle, Käbi Laan, Veronika Laippala, Lorenzo Lambertino, Tatiana Lando, Septina Dian Larasati, Alexei Lavrentiev, John Lee, Phương Lê Hồng, Alessandro Lenci, Saran Lertpradit, Herman Leung, Maria Levina, Lauren Levine, Cheuk Ying Li, Josie Li, Keying Li, Yixuan Li, Yuan Li, KyungTae Lim, Bruna Lima Padovani, Yi-Ju Jessica Lin, Krister Lindén, Yang Janet Liu, Nikola Ljubešić, Irina Lobzhanidze, Olga Loginova, Lucelene Lopes, Stefano Lusito, Andry Luthfi, Mikko Luukko, Olga Lyashevskaya, Teresa Lynn, Vivien Macketanz, Menel Mahamdi, Jean Maillard, Ilya Makarchuk, Aibek Makazhanov, Michael Mandl, Christopher Manning, Ruli Manurung, Büşra Marşan, Cătălina Mărănduc, David Mareček, Katrin Marheinecke, Stella Markantonatou, Héctor Martínez Alonso, Lorena Martín Rodríguez, André Martins, Cláudia Martins, Jan Mašek, Hiroshi Matsuda, Yuji Matsumoto, Alessandro Mazzei, Ryan McDonald, Sarah McGuinness, Gustavo Mendonça, Tatiana Merzhevich, Niko Miekka, Aaron Miller, Karina Mischenkova, Anna Missilä, Cătălin Mititelu, Maria Mitrofan, Yusuke Miyao, AmirHossein Mojiri Foroushani, Judit Molnár, Amirsaeid Moloodi, Simonetta Montemagni, Amir More, Laura Moreno Romero, Giovanni Moretti, Shinsuke Mori, Tomohiko Morioka, Shigeki Moro, Bjartur Mortensen, Bohdan Moskalevskyi, Kadri Muischnek, Robert Munro, Yugo Murawaki, Kaili Müürisep, Pinkey Nainwani, Mariam Nakhlé, Juan Ignacio Navarro Horñiacek, Anna Nedoluzhko, Gunta Nešpore-Bērzkalne, Manuela Nevaci, Lương Nguyễn Thị, Huyền Nguyễn Thị Minh, Yoshihiro Nikaido, Vitaly Nikolaev, Rattima Nitisaroj, Alireza Nourian, Maria das Graças Volpe Nunes, Hanna Nurmi, Stina Ojala, Atul Kr. Ojha, Hulda Óladóttir, Adédayọ̀ Olúòkun, Mai Omura, Emeka Onwuegbuzia, Noam Ordan, Petya Osenova, Robert Östling, Lilja Øvrelid, Şaziye Betül Özateş, Merve Özçelik, Arzucan Özgür, Balkız Öztürk Başaran, Teresa Paccosi, Alessio Palmero Aprosio, Anastasia Panova, Thiago Alexandre Salgueiro Pardo, Hyunji Hayley Park, Niko Partanen, Elena Pascual, Marco Passarotti, Agnieszka Patejuk, Guilherme Paulino-Passos, Giulia Pedonese, Angelika Peljak-Łapińska, Siyao Peng, Siyao Logan Peng, Rita Pereira, Sílvia Pereira, Cenel-Augusto Perez, Natalia Perkova, Guy Perrier, Slav Petrov, Daria Petrova, Andrea Peverelli, Jason Phelan, Claudel Pierre-Louis, Jussi Piitulainen, Yuval Pinter, Clara Pinto, Rodrigo Pintucci, Tommi A Pirinen, Emily Pitler, Magdalena Plamada, Barbara Plank, Thierry Poibeau, Larisa Ponomareva, Martin Popel, Lauma Pretkalniņa, Sophie Prévost, Prokopis Prokopidis, Adam Przepiórkowski, Robert Pugh, Tiina Puolakainen, Sampo Pyysalo, Peng Qi, Andreia Querido, Andriela Rääbis, Alexandre Rademaker, Mizanur Rahoman, Taraka Rama, Loganathan Ramasamy, Carlos Ramisch, Joana Ramos, Fam Rashel, Mohammad Sadegh Rasooli, Vinit Ravishankar, Livy Real, Petru Rebeja, Siva Reddy, Mathilde Regnault, Georg Rehm, Arij Riabi, Ivan Riabov, Michael Rießler, Erika Rimkutė, Larissa Rinaldi, Laura Rituma, Putri Rizqiyah, Luisa Rocha, Eiríkur Rögnvaldsson, Ivan Roksandic, Mykhailo Romanenko, Rudolf Rosa, Valentin Roșca, Davide Rovati, Ben Rozonoyer, Olga Rudina, Jack Rueter, Kristján Rúnarsson, Shoval Sadde, Pegah Safari, Aleksi Sahala, Shadi Saleh, Alessio Salomoni, Tanja Samardžić, Stephanie Samson, Manuela Sanguinetti, Ezgi Sanıyar, Dage Särg, Marta Sartor, Mitsuya Sasaki, Baiba Saulīte, Agata Savary, Yanin Sawanakunanon, Shefali Saxena, Kevin Scannell, Salvatore Scarlata, Emmanuel Schang, Nathan Schneider, Sebastian Schuster, Lane Schwartz, Djamé Seddah, Wolfgang Seeker, Mojgan Seraji, Syeda Shahzadi, Mo Shen, Atsuko Shimada, Hiroyuki Shirasu, Yana Shishkina, Muh Shohibussirri, Maria Shvedova, Janine Siewert, Einar Freyr Sigurðsson, João Silva, Aline Silveira, Natalia Silveira, Sara Silveira, Maria Simi, Radu Simionescu, Katalin Simkó, Mária Šimková, Haukur Barri Símonarson, Kiril Simov, Dmitri Sitchinava, Ted Sither, Maria Skachedubova, Aaron Smith, Isabela Soares-Bastos, Per Erik Solberg, Barbara Sonnenhauser, Shafi Sourov, Rachele Sprugnoli, Vivian Stamou, Steinþór Steingrímsson, Antonio Stella, Abishek Stephen, Milan Straka, Emmett Strickland, Jana Strnadová, Alane Suhr, Yogi Lesmana Sulestio, Umut Sulubacak, Shingo Suzuki, Daniel Swanson, Zsolt Szántó, Chihiro Taguchi, Dima Taji, Fabio Tamburini, Mary Ann C. Tan, Takaaki Tanaka, Dipta Tanaya, Mirko Tavoni, Samson Tella, Isabelle Tellier, Marinella Testori, Guillaume Thomas, Sara Tonelli, Liisi Torga, Marsida Toska, Trond Trosterud, Anna Trukhina, Reut Tsarfaty, Utku Türk, Francis Tyers, Sveinbjörn Þórðarson, Vilhjálmur Þorsteinsson, Sumire Uematsu, Roman Untilov, Zdeňka Urešová, Larraitz Uria, Hans Uszkoreit, Andrius Utka, Elena Vagnoni, Sowmya Vajjala, Socrates Vak, Rob van der Goot, Martine Vanhove, Daniel van Niekerk, Gertjan van Noord, Viktor Varga, Uliana Vedenina, Giulia Venturi, Eric Villemonte de la Clergerie, Veronika Vincze, Natalia Vlasova, Aya Wakasa, Joel C. Wallenberg, Lars Wallin, Abigail Walsh, Jonathan North Washington, Maximilan Wendt, Paul Widmer, Shira Wigderson, Sri Hartati Wijono, Vanessa Berwanger Wille, Seyi Williams, Mats Wirén, Christian Wittern, Tsegay Woldemariam, Tak-sum Wong, Alina Wróblewska, Qishen Wu, Mary Yako, Kayo Yamashita, Naoki Yamazaki, Chunxiao Yan, Koichi Yasuoka, Marat M. Yavrumyan, Arife Betül Yenice, Olcay Taner Yıldız, Zhuoran Yu, Arlisa Yuliawati, Zdeněk Žabokrtský, Shorouq Zahra, Amir Zeldes, He Zhou, Hanzhi Zhu, Yilun Zhu, Anna Zhuravleva, Rayan Ziane References Marie-Catherine de Marneffe, Christopher Manning, Joakim Nivre, Daniel Zeman. 2021. Universal Dependencies. In Computational Linguistics 47:2, pp. 255–308. Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, Daniel Zeman. 2020. Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection. In Proceedings of LREC. -------------------------------------------------------------------------------- Marie-Catherine de Marneffe, Bill MacCartney, and Christopher D. Manning. 2006. Generating typed dependency parses from phrase structure parses. In Proceedings of LREC. Marie-Catherine de Marneffe and Christopher D. Manning. 2008. The Stanford typed dependencies representation. In COLING Workshop on Cross-framework and Cross-domain Parser Evaluation. Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, Katri Haverinen, Filip Ginter, Joakim Nivre, and Christopher Manning. 2014. Universal Stanford Dependencies: A cross-linguistic typology. In Proceedings of LREC. Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Hajič, Christopher D. Manning, Ryan McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, Daniel Zeman. 2016. Universal Dependencies v1: A Multilingual Treebank Collection. In Proceedings of LREC. Slav Petrov, Dipanjan Das, and Ryan McDonald. 2012. A universal part-of-speech tagset. In Proceedings of LREC. Daniel Zeman. 2008. Reusable Tagset Conversion Using Tagset Drivers. In Proceedings of LREC.

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November 2023 Newsletter - LDC
by Penn LDC 15 Nov '23

15 Nov '23

In this newsletter: Join LDC for Membership Year 2024 Spring 2024 data scholarship application deadline New publications: REMIX Telephone Collection<https://catalog.ldc.upenn.edu/LDC2023S09> News Sub-domain Named Entity Recognition<https://catalog.ldc.upenn.edu/LDC2023T12> ________________________________ Join LDC for Membership Year 2024 It's time to renew your LDC membership for 2024. Current (2023) members who renew their membership before March 1, 2024 will receive a 10% discount. New or returning organizations will receive a 5% discount if they join the Consortium by March 1. In addition to receiving new publications, current LDC members enjoy the benefit of licensing older data from our Catalog of 940+ holdings at reduced fees. Current-year for-profit members may use most data for commercial applications. Plans for 2024 publications are in progress. Among the expected releases are: * KASET: 147 hours of Sorani Kurdish and Kurmanji Kurdish conversational telephone speech and web broadcasts, 65 hours transcribed * AIDA Topic Source Data and Annotations: multimodal source data and annotations in multiple languages (Russian, Ukrainian, English, Spanish) for information and entity extraction * RATS Low Speech Density Data: 87 hours of Levantine Arabic, English, Persian, Pushto, and Urdu audio files selected from RATS speech activity detection and keyword spotting data sets, also including communications systems sounds and silence * Call My Net 1: 364 hours of conversational telephone speech recordings in Tagalog, Cebuano, Cantonese and Mandarin from speakers in the Philippines and China using various handsets under diverse noise conditions * Ravnursson Faroese Speech and Transcripts: 109 hours of read speech from 433 native speakers with transcripts * Diaspora Tibetan Speech: elicited, read, and spontaneous speech from 73 native Tibetan speakers in Katmandu's diaspora Tibetan community, some recordings transcribed * IARPA MATERIAL language packs: conversational telephone speech, transcripts, English translations, annotations, and queries in multiple languages (e.g., Bulgarian, Somali, Georgian) * LORELEI: representative and incident language packs containing monolingual text, bi-text, translations, annotations, supplemental resources, and related tools in various languages (e.g., Farsi, Hungarian, Hindi, Amharic) For full descriptions of all LDC data sets, browse our Catalog<https://catalog.ldc.upenn.edu/>. Visit Join LDC<https://www.ldc.upenn.edu/members/join-ldc> for details on membership, user accounts and payment. Spring 2024 data scholarship application deadline Applications are now being accepted through January 15, 2024, for the Spring 2024 LDC data scholarship program, which provides university students with no-cost access to LDC data. Consult the LDC Data Scholarships<https://www.ldc.upenn.edu/language-resources/data/data-scholarships> page for more information about program rules and submission requirements. ________________________________ New publications: REMIX Telephone Collection<https://catalog.ldc.upenn.edu/LDC2023S09> was developed by LDC and contains 320 hours of English conversational telephone speech from 358 speakers who had completed all tasks in one of the previous LDC Mixer collections, specifically, Mixers 4-7. The data was collected in 2012; recordings in this corpus were used to support the NIST 2012 Speaker Recognition Evaluation. Speakers completed up to 12 calls lasting up to 10 minutes conversing on suggested topics. They were asked that half of the calls be made in a "noisy" environment, e.g., from a speakerphone, a busy street, noisy store or office, or a room with loud background noise. Speaker metadata is included. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * News Sub-domain Named Entity Recognition<https://catalog.ldc.upenn.edu/LDC2023T12> was developed at the University of Pennsylvania and contains over 20,000 English news sentences annotated with named entities and categorized into sub-domains. The sentences were extracted from The New York Times Annotated Corpus (LDC2008T19)<https://catalog.ldc.upenn.edu/LDC2008T19>. Named entity annotation was based on the CoNLL-2003 guidelines and annotation scheme<https://paperswithcode.com/dataset/conll-2003>. Sentences were labeled with person (PER), location (LOC) and organization (ORG) tags using phrase matching with a manual second pass. Sub-domains are: Arts (+Weekend/Cultural), Business (+Financial), Classifieds (+Obituary), Editorial, Foreign, Metropolitan, Sports, and Others. "Others" includes topics such as Real Estate, New Jersey Weekly, Book Review, Job Market, Science, and Health & Fitness. 2023 members can access this corpus through their LDC accounts provided they have submitted a signed copy of the special license agreement. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Second CFP: issue 72 of the journal Procesamiento del Lenguaje Natural
by aitziber.atucha＠ehu.eus 15 Nov '23

15 Nov '23

[Spanish version below] Please consider contributing and/or forwarding to appropriate colleagues and groups. *******We apologize for the multiple copies of this e-mail****** Call for papers for the issue 72 of the journal Procesamiento del Lenguaje Natural http://www.sepln.org/en/journal http://www.sepln.org/en/journal/author-guidelines Introduction The aim of the journal Procesamiento del Lenguaje Natural is to provide a forum for the publication of scientific-technical articles in the field of Natural Language Processing (NLP), for both the national and international scientific community. The articles must be unpublished and cannot be simultaneously submitted for publication in other journals or conference proceedings. The journal also aims to promote the development of areas related to NLP, disseminate research carried out, identify future guidelines for basic research, and present software applications in this field. Every year the Sociedad Española de Procesamiento del Lenguaje Natural (SEPLN) (Spanish Society for the Natural Language Processing) publishes two issues of the journal, including original articles, presentations of R&D projects, book reviews and summaries of PhD theses. The scientific quality of the Journal is supported by the 2022 JCR index (JCI: 0.31, Q4-Linguistics - ESCI), the SCImago Journal Ranking (2022 SJR: 0.421, Q3-Computer Science Applications, Q1-Linguistics and Language), the Scopus Index (2022 CiteScore: 2.9, Q3-Computer Science Applications, Q1-Linguistics and Language) and the index SNIP (Source Normalized Impact per Paper) with 0.93 points. More information at: http://www.sepln.org/en/journal/quality. Topics Linguistic, mathematical and psycholinguistic models of language Machine learning in NLP Computational lexicography and terminology Corpus linguistics Development of linguistic resources and tools Grammars and formalisms for morphological and syntactic analysis Semantics, pragmatics and discourse Word sense disambiguation Monolingual and multilingual text generation Machine translation Knowledge and common sense Multimodality Speech synthesis and recognition Dialogue systems and interactive systems/ Conversational assistants Audio indexing and retrieval Monolingual and multilingual information extraction and retrieval Question answering systems Evaluation of NLP systems Automatic textual content analysis Sentiment analysis, opinion mining and argument mining Plagiarism detection Negation and speculation processing Text mining in blogosphere and social networks Text summarization Text simplification Image retrieval NLP in biomedical domain NLP-based generation of teaching resources NLP for languages with limited resources NLP industrial applications Low-resource NLP tasks, data augmentation Submission Information The proposal must be submitted by December 1st, 2023 and must meet certain format and style requirements. All submissions must be in PDF format and submitted electronically using the Myreview system available at: http://myreview.sepln.org/myreview-sepln72 Submitted papers will be subjected to a blind review by at least three members of the program committee. Categories of papers Regular papers with original contributions. Summary of PhD thesis. Information for Authors The proposals can be written in Spanish or English and should be at most 10 A4-size pages of content, plus unlimited pages for references, and 4 pages maximum for summaries of PhD theses. The papers must include the following sections: The title of the communication (in English and Spanish). An abstract in English and Spanish (maximum 150 words). A list of keywords or related topics (in English and Spanish). The documents must not include headers or footers. As reviewing will be blind, the paper should not include the authors’ names and affiliation. Furthermore, self-references that reveal the author’s identity should be avoided. The articles should only include the title, the abstract, the keywords and the proposal. We recommend using the LaTeX and Word templates that can be downloaded from the SEPLN web (author guidelines have been updated): http://www.sepln.org/index.php/en/journal/author-guidelines Note on camera ready The final version of the paper (camera ready) should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper. Preprint policy The Journal allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper it is “under review” in the Journal Procesamiento del Lenguaje Natural. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper. Important dates Submission deadline: 1 December 2023 Notification of acceptance: 5 February 2024 Camera ready: 12 February 2024 Publication: March 2024 Contact person: Aitziber Atutxa (aitziber.atucha(a)ehu.eus) Editorial Committee of the Procesamiento del Lenguaje Natural -------------------------------------------------------------------------------------------------------------------- ***********Disculpen si reciben varias copias de este mensaje ************ Por favor, si lo considera oportuno, distribuya este llamamiento entre sus colegas. Petición de artículos para la revista Procesamiento del Lenguaje Natural nº 72. http://www.sepln.org/la-revista http://www.sepln.org/la-revista/informacion-para-autores Objetivos de la revista La revista Procesamiento del Lenguaje Natural es un foro de publicación de artículos científico-técnicos en el ámbito del Procesamiento del Lenguaje Natural (PLN), tanto para la comunidad científica nacional como internacional. Los artículos tienen que ser inéditos y no haber sido postulados para ser publicados simultáneamente en otras revistas o actas de congresos. La revista quiere potenciar el desarrollo de las diferentes áreas relacionadas con el PLN, mejorar la divulgación de las investigaciones que se llevan a cabo, identificar las futuras directrices de la investigación básica y mostrar las posibilidades reales de aplicación en este campo. Anualmente la SEPLN (Sociedad Española para el Procesamiento del Lenguaje Natural) publica dos números de la revista, que incluyen artículos originales, presentaciones de proyectos, reseñas bibliográficas y resúmenes de tesis doctorales. La calidad científica de la Revista está respaldada por el índice del JCR 2022 (JCI: 0,31, Q4-Linguistics - ESCI), el índice SCImago Journal Ranking (SJR: 0,421, Q3-Computer Science Applications, Q1-Linguistics and Language), el índice de Scopus (CiteScore: 2,9, Q3-Computer Science Applications, Q1-Linguistics and Language) y el índice SNIP (Source Normalized Impact per Paper) con 0,93 puntos. Más información en http://www.sepln.org/la-revista/calidad. Áreas temáticas Modelos de lenguaje matemáticos y psicolingüísticos Aprendizaje automático en PLN Lexicografía y terminología computacional Lingüística de corpus Desarrollo de recursos y herramientas lingüísticas Gramáticas y formalismos para análisis morfológico y sintáctico Semántica, pragmática y discurso Resolución de ambigüedad léxico-semántica Generación de texto monolingüe y multilingüe Traducción automática Multimodalidad Reconocimiento y síntesis de habla Sistemas de diálogo/ asistentes conversacionales Auto-indexación Recuperación y extracción de información monolingüe y multilingüe Sistemas de búsqueda de respuestas Evaluación de sistemas de PLN Análisis automático de contenido textual Análisis de sentimiento y minería de opiniones Detección de plagio Procesamiento de la negación y la especulación Minería de texto en la blogosfera y las redes sociales Resumen automático de texto Simplificación de texto Recuperación de imágenes Conocimiento y sentido común PLN en el ámbito biomédico Generación de recursos didácticos basada en PLN PLN para lenguas con recursos limitados Aplicaciones industriales del PLN Tratamiento del Lenguaje Hablado Envío de trabajos Las propuestas de trabajos (artículos y resúmenes de tesis) podrán ser enviadas hasta la fecha límite del 1 de diciembre de 2023. El envío y la revisión de las propuestas se realizarán exclusivamente en formato PDF y se gestionarán a través del sistema Myreview: http://myreview.sepln.org/myreview-sepln72. La evaluación de los trabajos pasará por un proceso de revisión ciego realizado como mínimo por tres miembros del consejo asesor de la SEPLN. Tipos de trabajos Artículos sobre contribuciones originales. Reseñas de tesis doctorales. Instrucciones para los Autores Los trabajos pueden estar escritos en español o en inglés y su longitud máxima será de 10 páginas de contenido más un número ilimitado de páginas de referencias para los artículos científicos, y de un máximo de 4 páginas para los resúmenes de tesis. Las propuestas deben contener los siguientes apartados: El título del artículo (en español e inglés). Un resumen en español y un abstract en inglés de un máximo de 150 palabras. Un listado de temas relacionados o palabras clave (en español e inglés). Los documentos no podrán incluir cabeceras ni pies de página. Como la fase de revisión de los trabajos es ciega, en los artículos que se envíen no se debe incluir ninguna referencia a los autores ni referencias propias que revelen la identidad de los mismos. Todas las contribuciones deben contener únicamente el título, el resumen, las palabras claves y la propuesta. En el caso de los resúmenes de tesis, el anonimato no es necesario. Los trabajos deben seguir el formato de las revistas de la SEPLN disponible en la siguiente dirección: http://www.sepln.org/la-revista/informacion-para-autores Las guías se han actualizado, por favor, utilicen las que están disponibles en la página web de la revista. Nota sobre la versión final La versión final del trabajo (camera ready) debe enviarse con un documento en el que se explique cómo se han implementado las sugerencias de los revisores. Dicho documento se tendrá en cuenta para aceptar o rechazar el trabajo en cuestión. Política de prepublicación La revista permite publicar una versión no revisada de los artículos en plataformas de prepublicación (plataformas de artículos no evaluados como ArXiv). Sin embargo, durante el periodo de revisión se debe indicar que el artículo está “en revisión” en la revista Procesamiento del Lenguaje Natural. Si el artículo es aceptado, se debe actualizar la publicación en la plataforma de prepublicación con el DOI, nombre de la revista y la información bibliográfica del artículo. Fechas importantes Envío de trabajos: 1 de diciembre de 2023 Notificación de aceptación o rechazo: 5 de febrero de 2024 Versión final: 12 de febrero de 2024 Publicación: Marzo de 2024 Persona de contacto:Aitziber Atutxa (aitziber.atucha(a)ehu.eus) Consejo de redacción de la revista Procesamiento del Lenguaje Natural.

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PhD positions in Digital Text Analysis, Discourse Analysis/CA, Specialised Translation
by Gisle Andersen 15 Nov '23

15 Nov '23

Dear colleagues Aplologies for cross-postings. Please see the announcement of three PhD scholar positions at the Department of Professional and Intercultural Communication at NHH Norwegian School of Economics: https://www.jobbnorge.no/en/available-jobs/job/253419/phd-research-scholar-… Best wishes Gisle

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Call for papers: AAAI Workshop on Responsible Language Model (ReLM) 2024
by faizakhankhattak＠gmail.com 14 Nov '23

14 Nov '23

We invite you to submit your research. The workshop will be held in Vancouver on February 26, 2024. **Submission deadline: November 24, 2023** More info can be found on the Workshop website: https://sites.google.com/vectorinstitute.ai/relm2024/home?authuser=0 The Responsible Language Models (ReLM) workshop focuses on both the theoretical and practical challenges related to the design and deployment of responsible Language Models (LMs) and will have strong multidisciplinary components, promoting dialogue and collaboration in order to develop more trustworthy and inclusive technology. We invite discussions and research on key topics such as bias identification & quantification, bias mitigation, transparency, privacy & security issues, hallucination, uncertainty quantification, and various other risks in LMs. Topics: We are interested, but not limited to the following topics: explainability and interpretability techniques for different LLMs training paradigms; privacy, security, data protection and consent issues for LLMs; bias and fairness quantification, identification, mitigation and trade-offs for LLMs; robustness, generalization and shortcut learning analysis and mitigation for LLMs; uncertainty quantification and benchmarks for LLMs; ethical AI principles, guidelines, dilemmas and governance for responsible LLM development and deployment. ReLM 2024 | 26 February 2024 | Vancouver, Canada Looking forward to your submissions, Organizing committee of ReLM 2024 relm.aaai2024(a)gmail.com

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Please save the date for APCLC2024 on 25-27 October, Shanghai, China
by Xu, Jiajin 14 Nov '23

14 Nov '23

Dear list members, APCLC2024 (25-27 October, Friday to Sunday) will be held at Shanghai Jiao Tong University, Shanghai, China. The conference will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Corpus Linguistics. The major theme for the conference is “New Data, New Theories”. Topics of interest include, but are not limited to, the following Advances in Corpus Linguistics Data science for Corpus Linguistics Corpora in digital humanities Corpora and discourse studies Corpora and translation Corpora and lexicography Corpora and language teaching Corpora and language acquisition Corpora and language education Corpora and theoretical linguistics *Paper submission* Authors are invited to submit papers through the conference submission system by February, 29th, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. *Preconference workshop * The main conference will be preceded by a workshop day on Friday 25 October 2024. *Important dates* February 29, 2024: Deadline for abstract submission March 31, 2024: Notification of acceptance of abstracts May 31, 2024: End of early bird registration July 31, 2024: End of main registration October 25, 2024: Preconference workshops October 26-27, 2024: Main conference *Plenary speakers* (listed alphabetically by first name) Dagmar Divjak (University of Birmingham, UK) Martin Hilpert (University of Neuchâtel, Switzerland) Michael Barlow (University of Auckland, New Zealand) Naixing Wei (Beihang University, China) Vaclav Brezina (Lancaster University, UK) Wenzhong Li (Zhejiang Gongshang University, China) *Co-hosts* APCLA Corpus Linguistics Society of China The School of Foreign Languages, Shanghai Jiao Tong University Additional information The submission method and other information will be updated and announced later. Sincerely, Jiajin Jiajin XU, Ph.D., Professor National Research Centre for Foreign Language Education, Beijing Foreign Studies University, China

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Postdoc position -- multimodal coreference
by Sharid Loáiciga 14 Nov '23

14 Nov '23

We're hiring a postdoc to work on multimodal coreference resolution. The position is at CLASP, University of Gothenburg, Sweden, for 2 years with possibility of 1 year extension. I'm happy to answer questions if you're interested. https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Sharid

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Assistant Professorship in Semantic Systems and Natural Language Processing, tenure track, deadline 20/11
by Jacek Malec 14 Nov '23

14 Nov '23

The Robotics and Semantic Systems group at the Department of Computer Science, Lund University, has announced an Assistant Professor position (biträdande universitetslektor, BUL) in Computer Science with focus on semantic systems and natural language processing. The group (https://rss.cs.lth.se) is doing research in cognitive robotics and AI, including Machine Learning, Natural Language Processing, Human-Robot Interaction and Advanced Robotics. The group is part of the RobotLab LTH (https://robotics.lth.se). It is involved in a number of research centers and programmes, including WASP (Wallenberg Autonomous Software and Systems Programme, https://wasp-sweden.org), ELLIIT (Excellence Center at Linköping – Lund in Information Technology, https://elliit.se), LTH profile area: Pillars of AI and Digitalization and LU profile area: Natural and Artificial Cognition. The candidate is expected to have a PhD a couple of years old, preferably after a postdoc, planning to settle for the academic career in a vibrant university (with a fresh Nobel prize in house:-). Detailed information about the position may be found in the announcement: https://lu.varbi.com/what:job/jobID:654845/?lang=en The deadline for applying is 20th November 2023. You are welcome to contact me for more details. Jacek Malec, head of the RSS group -- Jacek Malec jacek.malec(a)cs.lth.se Department of Computer Science tel. +46 46 2224950 LTH, Lund University cell +46 70 4950474 Box 118, 221 00 Lund, Sweden http://cs.lth.se/Jacek_Malec/ When you send emails to Lund University, we process your personal data in accordance with existing legislation. To find out more about the processing of your personal data, visit the Lund University website: https://www.lunduniversity.lu.se/about/contact-us/processing-of-personal-da…

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Recruiting PhD students in NLP at the University of Sydney
by Jonathan K Kummerfeld 13 Nov '23

13 Nov '23

Hi, I'm recruiting PhD students for my group at the University of Sydney. See this page for details: https://www.jkk.name/students/recruiting-phd/ I have funding for projects in a wide range of NLP topics. Note that, unlike the central application process for many PhD programs, students should apply directly to me. I have already started reading applications, so students should contact me as soon as possible. Thanks! Jonathan Kummerfeld

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ELRA Catalogue of Language Resources - Update
by info＠elda.org 13 Nov '23

13 Nov '23

[Apologies for multiple postings] We are happy to announce that 1 new written corpus, 1 new monolingual lexicon and 2 new speech resources are now available in our catalogue. Corpus for fine-grained analysis and automatic detection of irony on Twitter <https://catalogue.elra.info/en-us/repository/browse/ELRA-W0337/> ISLRN: 478-366-550-085-8 <http://www.islrn.org/resources/478-366-550-085-8> This corpus was annotated by trained annotators (Master’s students in Linguistics) using a detailed annotation scheme for irony categorization, which describes four labels: ‘ironic by means of a polarity contrast’, ‘situational irony’, ‘other verbal irony’ and ‘not ironic’. It consists of 4791 instances with an irony label and a tweet ID. Bitext Synonym Data - General Language <https://catalogue.elra.info/en-us/repository/browse/ELRA-L0202/> ISLRN: 470-885-612-363-1 <http://www.islrn.org/resources/470-885-612-363-1> The Bitext Synonym Data - General Language includes 31,723 entries and more than 100,000 synonyms for English language. This dataset is a set of synonyms developed to augment the English version of Wordnet, a powerful open-source lexical database, released in 2005. All synonyms can be linked to Bitext Lexical Data - English (see ELRA-L0140) for lemmatization, POS and morphological information. Corpus of Spontaneous Japanese (CSJ) <https://catalog.elra.info/en-us/repository/browse/ELRA-S0488/> ISLRN: 280-594-494-328-0 <https://islrn.org/resources/280-594-494-328-0/> The "Corpus of Spontaneous Japanese" (or CSJ) contains about 650 hours of spontaneous speech that correspond to about 7000k words. All these speech materials are recorded using head-worn close-talking microphones and DAT, and down-sampled to 16kHz, 16bit accuracy. The speech material is transcribed both at orthographic and phonetic levels. In addition, segment label, intonation label, and other miscellaneous annotations are provided for a subset of CSJ, called the Core, which contains about 500k words or 45 hours of speech. EWA-DB – Early Warning of Alzheimer speech database <https://catalogue.elra.info/en-us/repository/browse/ELRA-S0489/> ISLRN: 730-022-142-264-9 <http://www.islrn.org/resources/730-022-142-264-9> EWA-DB is a speech database that contains data from 3 clinical groups: Alzheimer's disease, Parkinson's disease, mild cognitive impairment, and a control group of healthy subjects. Speech samples of each clinical group were obtained using the EWA smartphone application, which contains 4 different language tasks: sustained vowel phonation, diadochokinesis, object and action naming (30 objects and 30 actions), picture description (two single pictures and three complex pictures). The total number of speakers in the database is 1649. Of these, there are 87 people with Alzheimer's disease, 175 people with Parkinson's disease, 62 people with mild cognitive impairment, 2 people with a mixed diagnosis of Alzheimer's + Parkinson's disease and 1323 healthy controls. For more information on the catalogue or if you would like to enquire about having your resources distributed by ELRA, please contact us <mailto:contact@elda.org>. _________________________________________ Visit the ELRA Catalogue of Language Resources <http://catalog.elra.info> Visit the Universal Catalogue <http://universal.elra.info> Archives of ELRA Language Resources Catalogue Updates <http://www.elra.info/en/catalogues/language-resources-announcements> --

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PhD position on industrial applications of Large Language Models (TH Augsburg)
by Alessandra Zarcone 13 Nov '23

13 Nov '23

1 PhD Position on industrial applications of Large Language Models at the Technische Hochschule Augsburg We invite applications for a fully funded PhD position at the University of Applied Sciences in Augsburg ("Technische Hochschule Augsburg", full-time, TV-L E13 on the German federal wage agreement scheme) on industrial applications of Large Language Models in the project "CHIASM" ("Chancenreiche industrielle Anwendungen für vortrainierte Sprachmodelle"). The University of Applied Sciences in Augsburg is an important center fueling innovation in the region and offers plenty of opportunities to collaborate with local companies to integrate the latest technologies in real use cases. We are committed to a collegial and family-friendly work environment and flexible working hours. You can find the call here: https://karriere.hs-augsburg.de/Wissenschaftlicher-Mitarbeiterin-mwd-mit-Pr… Please apply at your earliest convenience but no later than Nov 22nd. I am happy to answer questions about the position ( alessandra.zarcone(a)tha.de ). Best Alessandra Zarcone

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[CFP] Special Issue on "Information Extraction and Language Discourse Processing" of Journal Information (ISSN 2078-2489)
by Jennifer D'Souza 13 Nov '23

13 Nov '23

The open access journal /Information/ is arranging a Special Issue on “Information Extraction and Language Discourse Processing” topic. As Guest Editor for this Special Issue, we would like to invite you to contribute a review or research article. The submission deadline will be /10 December 2022/. If you are interested in submitting, the journal office will do its best to apply for the maximum discount for you. You can see more details at the link: https://www.mdpi.com/journal/information/special_issues/WYS02U2GTD Yours cordially, Dr. Jennifer D'Souza Prof. Dr. Chengzhi Zhang Guest Editors

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): Third Call for Papers
by Announce 13 Nov '23

13 Nov '23

*** Third Call for Papers *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: November 24, 2023 AoE ***) The CAiSE’24 organization calls for full papers with a special emphasis on the theme of Information Systems in the Age of Artificial Intelligence. Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing various industries, and its significance in Information Systems cannot be overstated. AI-powered systems have the potential to streamline operations, enhance decision-making processes, and drive innovation across organizations. From data analysis to automated processes, AI is reshaping the way we leverage information in the digital age. The relevance of AI in IS extends beyond internal operations. AI-powered predictive analytics enables organizations to forecast trends, anticipate customer needs, and optimize resource allocation. This empowers businesses to adapt swiftly to changing market dynamics, gain a competitive edge, and make proactive decisions. AI algorithms can also detect anomalies and patterns that indicate potential security breaches, contributing to robust cybersecurity measures in information systems. However, while acknowledging the benefits, it is essential to consider the ethical implications of AI in information systems. Ensuring data privacy, addressing bias in algorithms, and maintaining transparency are vital aspects that need to be carefully managed and regulated to foster trust and accountability. In addition to offering an exciting scientific program, CAiSE’24 will feature a best paper award, a journal special issue, and a PhD-thesis award: • Best Paper Award‚ prize EUR 1000 (sponsored by Springer) • A small selection of best papers will be invited to submit enhanced versions for consideration in a special issue of Elsevier Information Systems journal dedicated to this conference. • PhD-Thesis Award • Best PhD thesis of a past CAiSE Doctoral Consortium author (co-sponsored by the CAiSE Steering Committee and Springer) Papers should be submitted in PDF format. Submissions must conform to Springer‚ LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. See the guidelines here: https://www.springer.com/comp/lncs/authors.html . The results described must be unpublished and must not be under review elsewhere. Three to five keywords characterizing the paper should be listed at the end of the abstract. Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one additional program board member. The selected papers will be discussed among the paper reviewers online and during the program board meeting. As the review process is not blind, please indicate your name and affiliation on your submission. Accepted papers will be presented at CAiSE’24 and published in the Springer Lecture Notes in Computer Science (LNCS) conference proceedings. We invite three types of original and scientific papers. The type of submission must be indicated in the submission system. Each contribution should explicitly address the engineering or the operation of information systems, clearly identify the information systems problem addressed, the expected impact of the contribution to information system engineering or operation, and the research method used. We strongly advise authors to clearly emphasize these aspects in their paper, including the abstract. Technical papers describe original solutions (theoretical, methodological or conceptual) in the field of IS Engineering. A technical paper should clearly describe the situation or problem tackled, the relevant state of the art, the position or solution suggested and its potential‚ as well as demonstrate the benefits of the contribution through a rigorous evaluation. Empirical papers evaluate existing problem situations including problems encountered in practice, or validate proposed solutions with scientific means, i.e., by empirical studies, experiments, case studies, experience reports, simulations, etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research method must be sound and appropriate. Exploratory papers describe completely new research positions or approaches, in order to face a generic situation arising because of new ICT tools, new kinds of activities, or new IS challenges. They must precisely describe the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness in addressing the identified situation. The topics of contribution include but are not limited to: • Novel Approaches to IS Engineering ◦ Artificial Intelligence and Machine Learning ◦ Robotic Process Automation (RPA) ◦ Big Data, Data Science and Analytics ◦ Blockchain applications in IS ◦ Simulation and Digital Twins  ◦ IS for collaboration and social computing  ◦ Virtual reality / Augmented Reality ◦ Context-aware, autonomous and adaptive IS • Models, Methods and Techniques in IS Engineering ◦ Ontologies and Ontology Engineering ◦ Conceptual modeling, languages and design ◦ Requirements engineering ◦ Process modeling, analysis and improvement ◦ Process automation, mining and monitoring ◦ Models and methods for evolution and reuse ◦ Domain and method engineering ◦ Product lines, variability and configuration management ◦ Compliance and alignment handling ◦ Active and interactive models ◦ Quality of IS models for analysis and design ◦ Visualization techniques in IS ◦ Decision models and business intelligence ◦ Knowledge graphs ◦ Human-centered techniques • Architectures and Platforms for IS Engineering ◦ Distributed, mobile and open architecture ◦ Big Data architectures ◦ Cloud- and edge-based IS engineering ◦ Service oriented and multi-agent IS engineering ◦ Multi-platform IS engineering ◦ Cyber-physical systems and Internet of Things (IoT) ◦ Workflow and Process Aware Information Systems (PAIS) ◦ Handling of real time data streams ◦ Content management and semantic Web ◦ Crowdsourcing platforms ◦ Conversational agents (chatbots) ◦ Microservices design and deployment • Domain-specific and Multi-aspect IS Engineering ◦ IT governance ◦ eGovernment ◦ Autonomous and smart systems (smart city management, smart vehicles, etc.) ◦ IS for healthcare ◦ Educational Systems and Learning Analytics ◦ Value and supply chain management ◦ Industry 4.0 ◦ Sustainability and social responsibility management ◦ Privacy, security, trust, and safety management ◦ IS in the post-COVID world Submit your paper using the Easy Chair link: https://easychair.org/conferences/?conf=caise2024 . IMPORTANT DATES • Abstract Submission: 24th November 2023 (AoE) • Paper Submission: 1st December 2023 (AoE) • Notification of Acceptance: 23rd February 2024 • Camera-ready Papers: 5th April 2024 • Author registration: 5th April 2024 ORGANISATION General Chairs • Haris Mouratidis, University of Essex, UK • Pnina Soffer, University of Haifa, Israel Local Organizing and Finance Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Giancarlo Guizzardi, University of Twente, The Netherlands • Flavia Maria Santoro, University of the State of Rio de Janeiro, Brazil Other Committee Members https://cyprusconferences.org/caise2024/committees/

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Paid full-time PhD Position on Perspectivism and Disagreement in Natural Language Processing
by d.braun＠utwente.nl 10 Nov '23

10 Nov '23

Job posting: 4-year paid full-time PhD Position on Perspectivism and Disagreement in Natural Language Processing Employer: University of Twente Location: Enschede, Netherlands Deadline: 4th December 2023 Application website and more details: https://utwentecareers.nl/en/vacancies/1505/phd-position-on-perspectivism-a… Do you want to work on Natural Language Processing and aspects of fairness and representation in Machine Learning? We are looking for a highly motivated and curious PhD candidate to join the High-tech Business & Entrepreneurship Department (HBE) at the University of Twente in the Netherlands. Your profile - A background in Natural Language Processing; - A strong interest in ethical and societal aspects of AI; - You hold, or will shortly acquire, a master’s degree in Computer Science, Computational Linguistics, Information Systems, or a related discipline; - Demonstrated programming skills in Python, JavaScript or similar languages; - First experience with user studies is a plus; - Capable of conducting independent research and willing to develop writing and publication skills; - Proficient in written and oral English (C1; above IELTS 7 or equivalent); - A positive team spirit and enthusiasm for working in an interdisciplinary and internationally oriented environment. Our offer We encourage high responsibility and independence, while collaborating with colleagues, researchers, other university staff and partners. We follow the terms of employment by the Dutch Collective Labour Agreement for Universities (CAO). Our offer contains: a full-time 4-year PhD position with a qualifier in the first year; excellent mentorship in a stimulating research environment with excellent facilities; and a personal development program within the Twente Graduate School. It also includes: - Gross monthly salary of € 2.770 in the first year, increasing each year up to € 3.539 in the fourth year; - Excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme; - 29 holidays per year in case of full-time employment; - A training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision; - A green campus with free access to sports facilities and an international scientific community; - A family-friendly institution that offers parental leave (both paid and unpaid); - A full status as an employee at the UT, including pension, health care benefits and good secondary conditions are part of our collective labour agreement CAO-NU for Dutch universities. How to apply Are you interested in being part of our team? Please submit your application before the 4th of December and include: A cover letter (maximum 2 pages A4), emphasizing your specific interest, qualifications, and motivations to apply for this position; A Curriculum Vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications. Additional information can be acquired via email from d.braun(a)utwente.nl. Applications can be submitted via https://utwentecareers.nl/en/vacancies/1505/phd-position-on-perspectivism-a…

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Call for participation: Shared Task on Word Embedding Evaluation for Ancient and Historical Languages (SIGTYP @ EACL)
by Oksana Dereza 10 Nov '23

10 Nov '23

Dear colleagues, [Apologies for cross-posting] In 2024, SIGTYP is hosting a *Shared Task on Word Embedding Evaluation for Ancient and Historical Languages*: https://sigtyp.github.io/st2024.html The workshop will be co-located with EACL. *Summary* In recent years, sets of downstream tasks called benchmarks have become a very popular, if not default, method to evaluate general-purpose word and sentence embeddings. Starting with decaNLP (McCann et al., 2018) and SentEval (Conneau & Kiela, 2018), multitask benchmarks for NLU keep appearing and improving every year. However, even the largest multilingual benchmarks, such as XGLUE, XTREME, XTREME-R or XTREME-UP (Hu et al., 2020; Liang et al., 2020; Ruder et al., 2021, 2023), only include modern languages. When it comes to ancient and historical languages, scholars mostly adapt/translate intrinsic evaluation datasets from modern languages or create their own diagnostic tests. We argue that there is a need for a universal evaluation benchmark for embeddings learned from ancient and historical language data and view this shared task as a proving ground for it. The shared task involves solving the following problems for 12+ ancient and historical languages that belong to 4 language families and use 6 different scripts. Participants will be invited to describe their system in a paper for the SIGTYP workshop proceedings. The task organisers will write an overview paper that describes the task and summarises the different approaches taken, and analyses their results. *Subtasks* For subtask A, participants are not allowed to use any additional data; however, they can reduce and balance provided training datasets if they see fit. For subtask B, participants are allowed to use any additional data in any language, including pre-trained embeddings and LLMs. A. Constrained 1. POS-tagging 2. Full morphological annotation 3. Lemmatisation B. Unconstrained 1. POS-tagging 2. Full morphological annotation 3. Lemmatisation 4. Filling the gaps - Word-level - Character-level *Data* For tasks 1-3, we use Universal Dependencies v. 2.12 data (Zeman et al., 2023) in 11 ancient and historical languages, complemented by 5 Old Hungarian codices from the MGTSZ website (HAS Research Institute for Linguistics, 2018) that are annotated to the same standard as the corpora available through UD. For task 4, we add historical Irish data from CELT (Ó Corráin et al., 1997), Corpas Stairiúil na Gaeilge (Acadamh Ríoga na hÉireann, 2017), and digital editions of the St. Gall glosses (Bauer et al., 2017) and the Würzburg glosses (Doyle, 2018) as a case study of how performance may vary on different historical stages of the same language. We set the upper temporal boundary to 1700 CE and do not include texts created later than this date in our dataset. List of languages: - Ancient Greek - Ancient Hebrew - Classical Chinese - Coptic - Gothic - Classical, Late & Medieval Latin - Medieval Icelandic - Old Church Slavonic - Old East Slavic - Old French - Old Hungarian - Old, Middle & Early Modern Irish - Vedic Sanskrit *Important dates* *05 Nov 2023*: Release of training and validation data *02 Jan 2024*: Release of test data *08 Jan 2024*: Submission of the systems *13 Jan 2024*: Notification of results *20 Jan 2024*: Submission of shared task papers *27 Jan 2024*: Notification of acceptance to authors *03 Feb 2024*: Camera-ready *15 Mar 2024*: Video recordings due *21/22 Mar 2024*: SIGTYP workshop *Important links* - *Registration form* <https://docs.google.com/forms/d/e/1FAIpQLSdINgMfzzZGIZ-uBVQhvyndB6yeaaj-wT7…> - Data + detailed description: https://github.com/sigtyp/ST2024 *Task organisers* - Oksana Dereza, Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway - Priya Rani, SFI Centre for Research and Training in AI, Data Science Institute, University of Galway - Atul Kr. Ojha, Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway - Adrian Doyle, Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway - Pádraic Moran, School of Languages, Literatures and Cultures, Moore Institute, University of Galway - John P. McCrae, Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway *Contact details* - Oksana: oksana.dereza(a)insight-centre.org - Priya: priya.rani(a)insight-centre.org Best wishes, Oksana and the organisers -- [image: https://nuig.insight-centre.org/] <https://www.insight-centre.org/> Oksana Dereza | PhD student on the Cardamom <http://cardamom.insight-centre.org/> project | Unit for Linguistic Data | Insight Centre for Data Analytics | Data Science Institute | University of Galway Oksana Dereza | Iarrthóir PhD ar thionscadal Cardamom <http://cardamom.insight-centre.org/> | An tAonad um Shonraí Teangeolaíocha | Insight, Ionad na hAnailísíochta Sonraí | Institiúid Eolaíochta Sonraí | Ollscoil na Gaillimhe

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PhD Studentship in e-Health and/or Sign Language Translation] @ Queen's University Belfast, UK
by Mohammed Hasanuzzaman 10 Nov '23

10 Nov '23

Dear Colleagues, I am looking for a PhD student in e-Health and/or Sign Language Translation at the School of School of Electronics, Electrical Engineering and Computer Science, Queen's University in Belfast, UK. The details of the project can be found below: 1. https://www.qub.ac.uk/courses/postgraduate-research/phd-opportunities/causa… 2. https://www.qub.ac.uk/courses/postgraduate-research/phd-opportunities/endto… Requirements: The successful candidate is expected to have a solid background in Machine Learning, Statistics, computer science or related discipline. The minimum academic requirement for admission to a research degree programme is normally an Upper Second Class Honours degree from a UK or ROI HE provider, or an equivalent qualification acceptable to the University. Refer to the official application process for details. Application Process: For enquiries, please send an email to Dr. Mohammed Hasanuzzaman at m.hasanuzzaman(a)qub.ac.uk with your CV and transcript as well as a brief description of your research interests. Unfortunately, due to a high volume of inquiries, I may not be able to respond to all emails. Submit your formal application through the following link. https://dap.qub.ac.uk/portal/user/u_login.php Your application should be clearly marked as EEECS/2024/MH1 and/or EEECS/2024/MH2 to ensure consideration for funding About Queen's: The Queen's University Belfast, founded almost two centuries ago, is one of the oldest universities in the United Kingdom. As a member of the prestigious Russell Group, Queen’s is one of the UK’s 24 leading research-intensive universities (ranked 13th in the UK for research intensity). Queen's has 15 subjects in the top 200 in the world (QS World University Rankings 2023). Five of those subjects are in the World Top 100 (QS World Rankings by subject 2023). For more details: https://www.qub.ac.uk/Study/Why-Study-at-Queens/rankings-and-reputation/ *International students are welcome to apply, but additional funding ( https://www.qub.ac.uk/Study/international-students/international-scholarshi…) or personal finances will be required to cover the difference between home (UK) and overseas fees. Best regards, Mohammed ------------------------------------------------------------------------------------------------------ *Dr. Mohammed HasanuzzamanLecturer/Assistant Professor**Queen's University Belfast <https://www.qub.ac.uk/>, UK * *&Munster Technological University <https://www.mtu.ie/>, Ireland* *Funded Investigator, ADAPT Centre- <https://www.adaptcentre.ie/> A <https://www.adaptcentre.ie/>* World-Leading SFI Research Centre <https://www.adaptcentre.ie/> *C**hercheur Associé*, GREYC UMR CNRS 6072 Research Centre, France <https://www.greyc.fr/en/home/> *Associate Editor:* * IEEE Transactions on Affective Computing, Nature Scientific Reports, IEEE Transactions on Computational Social Systems, ACM TALLIP, PLOS One, Computer Speech and Language**Website: **https://mohammedhasanuzzaman.github.io/ <https://mohammedhasanuzzaman.github.io/>* [image: Mailtrack] <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> Sender notified by Mailtrack <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> 10/11/23, 14:20:50

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3-year PhD position in Automatic Argumentation Mining in French Legal Decisions (Inria Lille, University of Lille, and LexisNexis France)
by Pascal Denis 10 Nov '23

10 Nov '23

Hi there, Could you please distribute the following job offer? Thanks. Best, Pascal ------------------------------------------------------------------------------------- We invite applications for a 3-year PhD position co-funded by Inria, the French national research institute in Computer Science and Applied Mathematics, and LexisNexis France, leader of legal information in France and subsidiary of the RELX Group. The overall objective of this project is to develop an automated system for detecting argumentation structures in French legal decisions, using recent machine learning-based approaches (i.e. deep learning approaches). In the general case, these structures take the form of a directed labeled graph, whose nodes are the elements of the text (propositions or groups of propositions, not necessarily contiguous) which serve as components of the argument, and edges are relations that signal the argumentative connection between them (e.g., support, offensive). By revealing the argumentation structure behind legal decisions, such a system will provide a crucial milestone towards their detailed understanding, their use by legal professionals, and above all contributes to greater transparency of justice. The main challenges and milestones of this project start with the creation and release of a large-scale dataset of French legal decisions annotated with argumentation structures. To minimize the manual annotation effort, we will resort to semi-supervised and transfer learning techniques to leverage existing argument mining corpora, such as the European Court of Human Rights (ECHR) corpus, as well as annotations already started by LexisNexis. Another promising research direction, which is likely to improve over state-of-the-art approaches, is to better model the dependencies between the different sub-tasks (argument span detection, argument typing, etc.) instead of learning these tasks independently. A third research avenue is to find innovative ways to inject the domain knowledge (in particular the rich legal ontology developed by LexisNexis) to enrich enrich the representations used in these models. Finally, we would like to take advantage of other discourse structures, such as coreference and rhetorical relations, conceived as auxiliary tasks in a multi-tasking architecture. The successful candidate holds a Master's degree in computational linguistics, natural language processing, machine learning, ideally with prior experience in legal document processing and discourse processing. Furthermore, the candidate will provide strong programming skills, expertise in machine learning approaches and is eager to work at the interplay between academia and industry. The position is affiliated with the MAGNET [1], a research group at Inria, Lille, which has expertise in Machine Learning and Natural Language Processing, in particular Discourse Processing. The PhD student will also work in close collaboration with the R&D team at LexisNexis France, who will provide their expertise in the legal domain and the data they have collected. Applications will be considered until the position is filled. However, you are encouraged to apply early as we shall start processing the applications as and when they are received. Applications, written in English or French, should include a brief cover letter with research interests and vision, a CV (including your contact address, work experience, publications), and contact information for at least 2 referees. Applications (and questions) should be sent to Pascal Denis (pascal.denis(a)inria.fr). The starting date of the position is 1 November 2022 or soon thereafter, for a total of 3 full years. Best regards, Pascal Denis [1] https://team.inria.fr/magnet/ [2] https://www.lexisnexis.fr/ -- Pascal ---- Pour une évaluation indépendante, transparente et rigoureuse ! Je soutiens la Commission d'Évaluation de l'Inria. ---- +++++++++++++++++++++++++++++++++++++++++++++++ Pascal Denis Equipe MAGNET, INRIA Lille Nord Europe Bâtiment B, Avenue Heloïse Parc scientifique de la Haute Borne 59650 Villeneuve d'Ascq Tel: ++33 3 59 35 87 24 Url: http://researchers.lille.inria.fr/~pdenis/ +++++++++++++++++++++++++++++++++++++++++++++++

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Postdoctoral position in computational linguistics with specialisation in language grounding to vision, robotics, and beyond (University of Gothenburg, Sweden)
by Simon Dobnik 09 Nov '23

09 Nov '23

[apologies for x-posting] Postdoctoral position in computational linguistics with specialisation in language grounding to vision, robotics, and beyond University of Gothenburg, Sweden Project Description: The broad focus of this position is computational modelling of language (computational linguistics, natural language processing or language technology) in the context of data from other modalities such as vision, perception and action from the perspective of human-centred AI. The topics relevant for this position are computational modelling of language and perception, human-robot interaction, situated spoken dialogue systems, and computational representation of meaning (semantics). The work will be done within the Cognitive Systems group (lead by Simon Dobnik, https://www.gu.se/en/about/find-staff/simondobnik ) which one of the four research groups within The Centre for Linguistic Theory and Studies in Probability (CLASP), https://www.gu.se/clasp and is devoted to research and advanced training in the application of probabilistic modelling and machine learning methods to core issues in linguistic theory and cognition. The postdoctoral candidate will will have an opportunity further their scientific skills and advance the scientific filed by conducting research in collaboration with the research group by connecting ideas from several of the following areas: - Computational semantics, - Grounding language in action and perception, - Generation and understanding of spatial language, - Generation of image descriptions, visual question answering, visual dialogue - Referring in situated dialogue, - Situated agents / robots and instruction generation and following, - Machine learning with neural networks, - Cross-domain model transfer, - Learning from small data, - Combining top-down (expert-driven) and bottom-up (dataset-driven) models, - Reasoning and inference including Bayesian inference, - Model interpretation, testing and evaluation of unwanted social bias, - Crowd-sourcing for collection and evaluation of research data. Application Deadline: November 21, 2023 (end of the day, GMT+1). Formal announcement and application procedure: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… (English) and https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038… (Swedish) Contact: For more information about the research / project focus relevant to the position, send an email to Simon Dobnik, Professor of Computational Linguistics, simon.dobnik(a)gu.se <mailto:simon.dobnik@gu.se> For other questions, please contact Sharid Loáiciga, Associate Senior Lecturer, +46(0) 31-786 59 42, sharid.loaiciga(a)gu.se <mailto:sharid.loaiciga@gu.se> — Simon Dobnik Professor of Computational Linguistics CLASP & FLoV, University of Gothenburg https://www.gu.se/en/about/find-staff/simondobnik

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[CfP] First Call for Papers: The third UnImplicit workshop at EACL 2024
by Sandro Pezzelle 09 Nov '23

09 Nov '23

* Apologies for cross-posting * We are happy to announce the third UnImplicit workshop, which will be co-located with EACL 2024. Workshop: March 21 or 22, 2024 (TBD on which of the two days) EACL Conference: March 17-22, 2024 Website: https://unimplicit2024.github.io/ Paper submission: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/UnImplicit * Paper submission deadline: December 18, 2023 * * Paper submission deadline for papers with ARR Reviews: January 17, 2024 * Real language is underspecified, vague, and ambiguous. Indeed, past work (Zipf, 1949; Piantadosi, 2012) has suggested that ambiguity may be an inextricable feature of natural language, resulting from competing communicative pressures. Resolving the meaning of language is a never-ending process of making inferences based on implicit knowledge. For example, we know that ``the girl saw the man with the telescope'' is ambiguous and could refer to two situations, while ``the girl saw the man with the hamburger'' is not, or that ``near'' in ``the house near the airport'' and ``the ant near the crumb'' does not refer to the same distance. Being able to capture this kind of knowledge is central to building systems with a human-like understanding of language, as well as providing a full account of natural language itself. We welcome submissions related to, but not limited to, the following topics: * Creating corpora or new annotations for underspecified, vague, or ambiguous language * Studies of annotator disagreement * Methods of resolving underspecification, vagueness, or ambiguity * Studies of how multimodal settings interact with underspecification in language * Ambiguities in non-linguistic domains, like images or videos * Perspectives on the role of vagueness and ambiguity in NLP Similar to the first two editions, we would accept theoretical and practical contributions (long, short, and non-archival) on all aspects related to the workshop topic. If you are interested, you can check out the last two UnImplicit workshops held at ACL 2021<https://unimplicit.github.io/#> and NAACL 2022<https://unimplicit2022.github.io>. Important Dates ============= Dec. 18, 2023: Workshop paper deadline (OpenReview) Jan. 17, 2024: Deadline to commit papers with ARR Reviews (OpenReview) Jan. 20, 2024: Notification of Acceptance Jan. 30, 2024: Camera-ready papers due Mar. 21-22, 2024: Workshop Dates (TBD on which of the two days) All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”). Submissions ========== We invite two types of submissions: 1. Archival: long (up to 8 pages) or short (up to 4 pages) papers, with unlimited references. These papers should report on complete, original, and unpublished research and cannot be 'under submission' elsewhere. If accepted, archival papers will appear in the workshop proceedings. 2. Non-archival: Extended abstracts (up to 2 pages) or copy of submission/publication, which can take two forms: Works in progress, that are not yet mature enough for a full submission. Or already published work, or work currently under submission elsewhere, which can be submitted in the form of the original abstract and a copy of the submission/publication. We are not enforcing any anonymity period. The workshop will run its review process, and papers can be submitted directly to OpenReview (https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/UnImplicit) on Dec. 18th, 2023. It is also possible to submit a paper accompanied by reviews from the ACL Rolling Review system, or a paper that has been rejected from EACL, or a Findings paper looking for a presentation slot, by Jan. 17th, 2024 (please use the following form for this type of submission: ). Both papers and extended abstracts must follow the EACL 2024 format. Accepted papers and extended abstracts must be presented at the workshop and at least one author must be registered for the workshop. Workshop organizers ========== Valentina Pyatkin, AI2 and University of Washington Elias Stengel-Eskin, UNC Chapel Hill Alisa Liu, University of Washington Sandro Pezzelle, University of Amsterdam Daniel Fried, Carnegie Mellon University Sandro -- on behalf of the organizing team --- Sandro Pezzelle ILLC - Institute for Logic, Language & Computation University of Amsterdam sandropezzelle.github.io<http://sandropezzelle.github.io/>

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[CfP] Third Call for Papers: Applied Sciences (IF: 2.7) Special Issue on "Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions"
by Ptaszynski Michal 09 Nov '23

09 Nov '23

Dear Colleagues Apologies for cross-posting. This is Michal Ptaszynski from Kitami Institute of Technology, Japan. We are accepting papers for the Applied Sciences journal (Impact Factor: 2.7) special issue on "Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions". The new deadline for manuscript submission is March 31, 2024, but your paper will be sent for review as soon as it is submitted and will be published shortly after being accepted. We hope you will consider submitting your paper. https://www.mdpi.com/journal/applsci/special_issues/NTMDOE41MY Best regards, Michal PTASZYNSKI, Ph.D., Associate Professor Department of Computer Science Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal(a)mail.kitami-it.ac.jp ============================================ Applied Sciences (Impact Factor: 2.7) Special Issue on "Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions" Special Issue Information During recent years, social infrastructure has become irreversibly linked to the Internet through its everyday manifestations, such as social networking services (Twitter, Facebook, etc.). Every second this new tangible information-based reality provides large amounts of data filled with 1) emotional expressions; 2) people's opinions on various topics; and 3) their reasoning, revealing their decision-making processes. As these three categories are also closely interrelated with each other, they should be studied together to obtain a more robust view on all of the topics involved. This, as never before, provides an opportunity for the development and application of natural language processing methods, in particular those regarding such topics as emotion processing, decision-making, and opinion mining. For this issue, we invite high-quality papers from researchers with an interest in knowing more about those topics and their connection to the world we live in through opinion and sentiment analysis, recommendation systems, web mining, automated decision-making, etc. We also invite papers on the topic of using Natural Language Processing tools and methods to process emotions, metaphors, ethics, or other phenomena related to human activities. List of Topics The Special Issue will invite papers on topics listed, but not limited to the following: - opinion mining - decision support systems - emotion detection - sentiment analysis - natural language processing - computational linguistics - NLP applications - natural language generation - emotional language processing - humor and joke processing - deceptive language detection - emoticon processing - automatic cyberbullying detection - fake news detection - abusive language processing - story generation - poetry generation - cognitive agents Guest Editors Dr. Pawel Dybala Dr. Rafal Rzepka Dr. Michal Ptaszynski Michal Ptaszynski michal.ptaszynski(a)gmail.com

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Call for Shared Task Participation - CASE @ EACL 2024: Climate Activism Stance and Hate Event Detection & previous shared tasks
by ali hürriyetoglu 09 Nov '23

09 Nov '23

We invite the community to participate in the shared task we organize and consider working on data from our previous shared tasks in the scope of the CASE workshop @ EACL 2024 (https://emw.ku.edu.tr/case-2024/). Recent & Active Shared task: *T1: Climate Activism Stance and Hate Event Detection* Hate speech detection and stance detection are some of the most important aspects of event identification during climate change activism events. In the case of hate speech detection, the event is the occurrence of hate speech, the entity is the target of the hate speech, and the relationship is the connection between the two. The hate speech event has targets to which hate is directed. Identification of targets is an important task within hate speech event detection. Additionally, stance event detection is an important part of assessing the dynamics of protests and activisms for climate change. This helps to understand whether the activist movements and protests are being supported or opposed. This task will have three subtasks (i) Hate speech identification (ii) Targets of Hate Speech Identification (iii) Stance Detection. *Codalab Link:* https://codalab.lisn.upsaclay.fr/competitions/16206 <https://codalab.lisn.upsaclay.fr/competitions/16206> Registration: In order to register for the shared task, please send a request in Codalab. The organizers will approve requests on a daily basis. *GitHub Page:* https://github.com/therealthapa/case2024-climate <https://github.com/therealthapa/case2024-climate> *Timeline*: Training & Evaluation data available: Nov 1, 2023 Test data available: Nov 30, 2023 Test start: Nov 30, 2023 Test end: Jan 5, 2024 System Description Paper submissions due: Jan 12, 2024 Notification to authors after review: Jan 26, 2024 Camera ready: Jan 30, 2024 CASE Workshop: 21-22 Mar, 2024 Previous shared tasks for working on regular papers (no official competition), please see the regular paper submission timeline: PT1: MULTILINGUAL PROTEST NEWS DETECTION The performance of an automated system depends on the target event type as it may be broad or potentially the event trigger(s) can be ambiguous. The context of the trigger occurrence may need to be handled as well. For instance, the ‘protest’ event type may be synonymous with ‘demonstration’ or not in a specific context. Moreover, the hypothetical cases such as future protest plans may need to be excluded from the results. Finally, the relevance of a protest depends on the actors as in a contentious political event only citizen-led events are in the scope. This challenge becomes even harder in a cross-lingual and zero-shot setting in case training data are not available in new languages. We tackle the task in four steps and hope state-of-the-art approaches will yield optimal results. Contact person: Ali Hürriyetoğlu (ali.hurriyetoglu(a)gmail.com) Github: https://github.com/emerging-welfare/case-2022-multilingual-event PT2: EVENT CAUSALITY IDENTIFICATION Causality is a core cognitive concept and appears in many natural language processing (NLP) works that aim to tackle inference and understanding. We are interested in studying event causality in the news and, therefore, introduce the Causal News Corpus. The Causal News Corpus consists of 3,767 event sentences extracted from protest event news, that have been annotated with sequence labels on whether it contains causal relations or not. Subsequently, causal sentences are also annotated with Cause, Effect and Signal spans. Our subtasks work on the Causal News Corpus, and we hope that accurate, automated solutions may be proposed for the detection and extraction of causal events in news. Contact person: Fiona Anting Tan (tan.f(a)u.nus.edu) Github: https://github.com/tanfiona/CausalNewsCorpus PT3: MULTIMODAL HATE SPEECH EVENT DETECTION Hate speech detection is one of the most important aspects of event identification during political events like invasions. In the case of hate speech detection, the event is the occurrence of hate speech, the entity is the target of the hate speech, and the relationship is the connection between the two. Since multimodal content is widely prevalent across the internet, the detection of hate speech in text-embedded images is very important. Given a text-embedded image, this task aims to automatically identify the hate speech and its targets. This task will have two subtasks. Contact person: Surendrabikram Thapa (surendrabikram(a)vt.edu) Codalab page: https://codalab.lisn.upsaclay.fr/competitions/16203 Github: https://github.com/therealthapa/case2023_task4 Note: The organizers follows a specific timeline. Please see the Codalab page.

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PhD position in Machine Learning, Data Science and Law
by Spanakis, Jerry (DACS) 08 Nov '23

08 Nov '23

At Maastricht Law & Tech lab<https://www.maastrichtuniversity.nl/about-um/faculties/law/research/law-and…> we are looking for a PhD candidate to work on the intersection of Machine Learning, Data Science and Law. We are explicitly looking for candidates that have proven experience working on NLP and ML. See recent examples of our work [1<https://aclanthology.org/2023.eacl-main.203.pdf>,2<https://aclanthology.org/2023.acl-long.481.pdf>,3<https://arxiv.org/abs/2309.17050>] Deadline is December 10th. The full text of the position is here<https://www.academictransfer.com/en/334212/phd-candidate-position-on-machin…> and attached below. Feel free to reach out if you have questions, enquiries, etc. — Maastricht University invites applications for a fully funded PhD position focused on integrating machine learning and data science techniques with the law. JOB DESCRIPTION Law affects us all, but technology often benefits the wealthy the most. In your project, you will seek to contribute to a better understanding of how technical methods can assist in the application, interpretation, and evaluation of laws, for instance by developing innovative solutions for start-ups and ordinary citizens. Data sources may include legal texts (e.g. laws, court decisions), social media data, or computer code itself. You will work closely with industry partners and public authorities and have tangible real-world impact with your work. The ability to find innovative technical solutions to legal challenges could become a key skill of your future career be it as a researcher, entrepreneur, or engineer. Your project will connect to previous research. In prior research, we have analyzed whether AI can assist in (I) retrieving relevant legal information given a layperson’s question, (ii) detecting vendors on the Dark Web, (iii) measuring where a user’s data ends up when using Android and IOS, (iv) researching cancel culture, and (v) detecting important court decisions. You will undertake PhD research at the intersection of law and computer science under the supervision of professors of the Maastricht Law & Tech Lab. Your primary task is conducting the research for your PhD project. Your exact project will be determined in consultation with you. A small proportion of the appointment may be devoted to teaching activities, which commonly amounts to teaching activities in a period of eight weeks per year. You will be offered the opportunity to collaborate with researchers from different disciplines, including machine learning, data science, and law. You will be part of an exciting, vibrant, and quickly growing community where researchers from different disciplines meet and form interdisciplinary teams that conduct academically and societally relevant research. You will be offered the opportunity to gain insights not only on applying computational techniques, but also on law, regulation, and ethics. For this, you will be encouraged, coached, and allowed to attend courses, conferences and workshops that will add social and legal knowledge to your skillset. PhD researchers participate in the Maastricht University Graduate School of Law. REQUIREMENTS Requirements MSc degree in Computer Science, Machine Learning, or Data Science (or equivalent). Proven experience with applying machine learning, natural language processing and/or data science. Interest in learning about other disciplines, law in particular. Community-friendly team player. Excellent oral and written English communication. Optional: geek-friendly. CONDITIONS OF EMPLOYMENT As PhD candidate at Faculty of Law, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you: Good employment conditions. The position is graded in scale P according to UFO profile Promovendus, with corresponding salary based on experience ranging from €2770,00 and €3539,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply. An employment contract for a period of 12 months with a scope of 1,0 FTE. At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.

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Release of the ICNALE Global Rating Archives
by Shin ISHIKAWA 08 Nov '23

08 Nov '23

(Sorry for cross-posting) Dear ML members We are delighted to announce the release of the ICNALE Global Rating Archives V2.0, which is the first public release version. The ICNALE GRA includes analytic/holistic ratings of L2 English learner speeches/essays by 160 raters with varied L1 and occupational backgrounds. It also includes fully edited versions of learner essays. Please download the data from the link below: https://language.sakura.ne.jp/icnale/download.html Additional info is available from the link below: https://language.sakura.ne.jp/icnale/modules.html#5 Thank you. Shin _______________________________ The ICNALE Development Team Dr. Shin ISHIKAWA (he/his) Professor of Applied Linguistics at Kobe University, Japan iskwshin(a)gmail.com

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release of thePxCorpus : A Spoken Drug Prescription Dataset in French for Spoken Language Understanding and Dialogue
by François Portet 08 Nov '23

08 Nov '23

Dear colleagues, We are pleased to announce the release of the PxCorpus, a 4 hours of transcribed and annotated dialogues of drug prescriptions in French acquired through an experiment with 55 participants experts and non-experts in drug prescriptions. This corpus was built in collaboration between the Laboratoire d'Informatique de Grenoble (LIG) the University Hospital of Grenoble (CHU Grenoble) and the Calystene society through a CIFRE project financed by the ANRT (Association Nationale de la Recherche et de la Technologie). PxCorpus is to the best of our knowledge, the first spoken medical drug prescriptions corpus to be distributed. The automatic transcriptions were verified by human effort and aligned with semantic labels to allow training of NLP models. The data acquisition protocol was reviewed by medical experts and permit free distribution without breach of privacy and regulation. ## Overview of the Corpus The experiment has been performed in wild conditions with naive participants and medical experts. In total, the dataset includes 2067 recordings of 55 participants (38% non-experts, 25% doctors, 36% medical practitioners), manually transcribed and semantically annotated. | Category | Sessions | Recordings | Time(m)| |------------------| -------- | ---------- | ------ | | Medical experts | 258 | 434 | 94.83 | | Doctors | 230 | 570 | 105.21 | | Non experts | 415 | 977 | 62.13 | | Total | 903 | 1981 | 262.27 | ## License We hope that that the community will be able to benefit from the dataset which is distributed with an attribution 4.0 International (CC BY 4.0) Creative Commons licence. ## How to cite this corpus If you use the corpus or need more details please refer to the following paper: A spoken drug prescription datset in French for spoken Language Understanding @InProceedings{Kocabiyikoglu2022, author = "Alican Kocabiyikoglu and Fran{\c c}ois Portet and Prudence Gibert and Hervé Blanchon and Jean-Marc Babouchkine and Gaëtan Gavazzi", title = "A spoken drug prescription datset in French for spoken Language Understanding", booktitle = "13th Language Ressources and Evaluation Conference (LREC 2022)", year = "2022", location = "Marseille, France" } a more complete description of the corpus acquisition is available on arxiv @misc{kocabiyikoglu2023spoken, title={Spoken Dialogue System for Medical Prescription Acquisition on Smartphone: Development, Corpus and Evaluation}, author={Ali Can Kocabiyikoglu and François Portet and Jean-Marc Babouchkine and Prudence Gibert and Hervé Blanchon and Gaëtan Gavazzi}, year={2023}, eprint={2311.03510}, archivePrefix={arXiv}, primaryClass={cs.CL} } ## Download The corpus can be found in the Zenodoo Catalogue under the following links and references: *PxCorpus : A Spoken Drug Prescription Dataset in French for Spoken Language Understanding and Dialogue* https://zenodo.org/doi/10.5281/zenodo.6482586 -- François PORTET Professeur - Univ Grenoble Alpes Laboratoire d'Informatique de Grenoble - Équipe GETALP Bâtiment IMAG - Office 333 700 avenue Centrale Domaine Universitaire - 38401 St Martin d'Hères FRANCE Phone: +33 (0)4 57 42 15 44 Email:francois.portet@imag.fr www:http://membres-liglab.imag.fr/portet/

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Call for Papers: Special Issue of AI Communications on "Human-Aware AI"
by Loizos Michael 08 Nov '23

08 Nov '23

Dear colleagues, We are inviting contributions to the Special Issue of AI Communications on "Human-Aware AI". Contributions are sought that report on mature and highly interdisciplinary research with a focus on the human involvement in the development of meaningful paradigms of AI-enabled human-human interactions, human-AI interactions, and human-centered AI-AI interactions. An indicative list of disciplines and sub-disciplines that we expect to be relevant are: Autonomous Agents and Multi-Agent Systems, Ethics, Human-Computer Interaction, Knowledge Representation and Reasoning, Machine Learning, Ontologies, Privacy, Social Computing, Social Psychology, Social Sciences. Any contribution relating to the general theme is welcome. The following is a non-exhaustive list of suggested topics: • Models of human diversity and human awareness • Models of AI diversity and human-aware AI • Perception of diversity versus models of diversity • Models of diverse human-AI societies and interactions • Experimental studies on human and social diversity • Experimental studies on hybrid human-AI diversity • Representation and visualization of diversity • Incentive models for Human-AI collaboration • Human-aware machine learning technologies • Interpretability and explainability of human-aware machine learning • Diversification and unbiasing of machine learning • Metrics for diversity-aware machine learning • Diversity-aware and diversity-preserving inference and reasoning • Ethical and privacy considerations on diversity • Ethical and legal considerations on diversity-misuse scenarios • Data economics, business models, and/or non-profit use • Insights from Critical Diversity Studies • Diversity-sensitive communication • Content moderation for diversity-aware social interaction More information about the Special Issue can be found here: https://www.iospress.com/sites/default/files/media/files/2023-09/AIC_Human-… The submission deadline is November 30, 2023. However, we would appreciate it if you could register your interest to submit a paper by completing the following form at your earliest convenience: https://forms.gle/vsVjJrCwXE8Nh9YU6 We look forward to your contributions! Regards, Loizos

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[CFP] Call for papers for AAAI workshop on brain encoding and decoding
by jysen sun 07 Nov '23

07 Nov '23

Dear colleagues, I would be happy to announce that the first Artificial Intelligence for Brain Encoding and Decoding (AIBED) workshop will be held in conjunction with AAAI on February 26, 2024 at New Orleans, U.S. We welcome paper submissions and participations for this workshop. Here is the information. This workshop aims to explore the intersection of AI and neuroscience, focusing on how AI, particularly deep artificial neural networks, can facilitate the encoding and decoding of brain activities. We will first delve into the principles of brain encoding and decoding, examining how the brain processes and encodes information into neural signals, and how these signals can be decoded to understand cognition. Next, we will discuss the challenges in encoding and decoding high-dimensional neural imaging data, including but not limited to the complexity of brain signal representations, scarcity of data annotations, and the need for model generalizability. Finally, we will consider the implications of these AI-driven advances in brain encoding and decoding for neuroscience, including understanding cognitive functions, diagnosing neurological disorders, and developing brain-computer interfaces Topics 1. Understanding Brain Encoding and Decoding: - Analyzing the processes of brain information processing and neural signal encoding - Utilizing AI to model complex neural processes and facilitate cognition understanding - Decoding from brain activities to reconstruct perceived or imagined linguistic, visual and audio information with AI 2. Addressing Challenges in Processing Neural Imaging Data: - Proposing AI solutions to process neural images, such as denoising, registering and slicing etc. - Leveraging AI’s proficiency in managing high-dimensional data to innovate solutions of representing brain signals 3. Implications in Neuroscience: - Considering the impact of AI developments on cognitive neuroscience - Aiding in diagnosing neurological disorders with AI Format and Attendance This will be a 1-day workshop with keynotes, poster presentations, and panel discussions. We will invite keynote speakers and all the authors who get papers accepted. Other AAAI attendees who are interested can also attend following AAAI’s related policy. Submission Requirements We accept one-page abstract with posters, as well as short papers with no more than 4 pages and long papers with no more than 7 pages. *Submission Site Information*: https://openreview.net/group?id=AAAI.org/2024/Workshop/AIBED Offiical website of workshop: https://sites.google.com/view/aibed2024/ For more questions about this workshop please contact aibed2024(a)outlook.com <aibed(a)outlook.com> . Workshop Chairs: Prof. Dr. Marie-Francine Moens, sien.moens(a)kuleuven.be Prof. Dr. Shaonan Wang, shaonan.wang(a)nlpr.ia.ac.cn Dr. Jingyuan Sun, jingyuan.sun(a)kuleuven.be Workshop Committee: Mingxiao Li, mingxiao.li(a)kuleuven.be Zijiao Chen, zijiao.chen(a)u.nus.edu Jiaxin Qing, jqing(a)ie.cuhk.edu.hk Xinpei Zhao, zhaoxinpei17(a)mails.ucas.ac.cn Tiedong Liu, tiedong.liu(a)u.nus.edu Prof. Dr. Wei Huang, lembert1990(a)163.com Kind regards Dr. Jingyuan Sun

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SCI-CHAT 2024: Call for Participation & Papers for Workshop on Simulation of Conversational Intelligence in Chat
by Gerasimos Lampouras 07 Nov '23

07 Nov '23

tl;dr: - submission deadline for research track paper via Softconf: December 18th 2023 - submission deadline for research track submissions already reviewed via ARR: January 17th 2024 - submission deadline for shard task systems: January 20th 2024 - submission deadline for shard task system descriptions via SoftConf: January 26th 2024 https://sites.google.com/view/dialogue-evaluation/ Call for Papers The aim of this workshop is to bring together experts working in the area of open-domain dialogue. In this speedily advancing research area many challenges still exist, such as learning information from conversations, engaging in realistic and convincing simulation of human intelligence, reasoning, and so on. SCI-CHAT follows previous workshops on open domain dialogue, but with a focus on the simulation of intelligent conversation, including the ability to follow a challenging topic over a multi-turn conversation, the ability to posit questions, refuting and reasoning with live human evaluation employed as the primary mechanism for evaluating models. The workshop will include a research track and shared task: SCI-CHAT's research track aims to explore recent advances and challenges in open-domain dialogue research. Researchers working on all aspects of open-domain dialogue are invited to submit papers on recent advances, resources, tools, analysis, evaluation, and challenges on the broad theme of open-domain dialogues. The topics of the workshop include but are not limited to the following: - Intelligent conversation, chit-chat, open-domain dialogue; - Automatic and human evaluation of open-domain dialogue; - Limitations, risks and safety in open-domain dialogue; - Instruction-tuned and instruction-enabled models; - Any other topic of interest to the dialogue community. SCI-CHAT's shared task will focus on simulating intelligent conversations; participants will be asked to submit (access to the APIs of) automated dialogue agents with the aim of carrying out nuanced conversations over multiple dialogue turns. Participating systems will be interactively evaluated in a live human evaluation. All data acquired within the context of the shared task will be made public, providing an important resource for improving metrics and systems in this research area. Submission guidelines: Authors are invited to submit their unpublished work that represents novel research through either direct submission or ARR commitment. Papers should consist of up to 8 pages of content, plus unlimited pages for references and appendix. Authors should make use of the EACL Latex Template <https://2023.eacl.org/calls/styles/> alongside supplementary materials, including technical appendices, links to source code, datasets, and multimedia appendices. Papers can also be submitted as non-archival, so that their content can be reused for other venues by adding "(NON-ARCHIVAL)" to the title of their submission. Previously published work can also be submitted as non-archival in the same way, with the additional requirement to state such on the first page. - Direct paper submissions must be submitted through SoftCon submission link: https://softconf.com/eacl2024/SCI-CHAT-2024/ Multiple submissions of the same paper to more EACL workshops are forbidden. All papers will be double-blind peer-reviewed, by at least 2 program committee members. As such, all submissions, including the main paper and its supplementary materials, should be fully anonymized. For more information on formatting and anonymity guidelines, please refer to EACL guidelines <https://eacl.org/index.html>. Organizers - Yvette Graham (Trinity College Dublin, Ireland) - Qun Liu (Huawei Noah's Ark Lab, China) - Gerasimos Lampouras (Huawei Noah's Ark Lab,UK) - Ignacio Iacobacci (Huawei Noah's Ark Lab, UK) - Sinead Madden (Trinity College Dublin, Ireland) - Haider Khalid (Trinity College Dublin, Ireland) - Rameez Qureshi (Trinity College Dublin, Ireland) Important Dates Regarding Research Track: - Research paper via Softconf: December 18th 2023 - Pre-reviewed ARR commitment deadline: January 17th 2024 - Notification of research paper acceptance: January 20th, 2024 - Camera-ready papers due: January 30th 2024 Regarding Shared Task: - Release of training and development data: November 9th 2023 - Release of baseline systems: November 9th 2023 - Preliminary System submission deadline: January 13th 2024 (optional - if you want help testing your API, please submit early) - System submission (API) deadline: January 20th 2024 - System description paper via SoftConf: January 26th 2024 - Camera-ready papers due: January 30th 2024 Overview of results at one-day workshop: March 21 or 22, 2024 CONTACT: sci-chat(a)adaptcentre.ie

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PhD position on Explainable NLU at the University of Copenhagen
by Isabelle Augenstein 07 Nov '23

07 Nov '23

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD position in Explainable Natural Language Understanding with a start date of 1 September 2024. The application deadline is 1 February 2024. Applications for the position can be submitted via UCPH's job portal<https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI…>. The Natural Language Processing Section<https://di.ku.dk/english/research/nlp/> provides a strong, international and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. The successful candidate will join Isabelle Augenstein’s Natural Language Understanding research group<http://www.copenlu.com/>. The Natural Language Processing research environment at the University of Copenhagen is internationally leading, as e.g. evidenced by it being ranked 2nd in Europe according to CSRankings. The position is offered in the context of an ERC Starting Grant held by Isabelle Augenstein on ‘Explainable and Robust Automatic Fact Checking (ExplainYourself)’. ERC Starting Grant is a highly competitive funding program by the European Research Council to support the most talented early-career scientists in Europe with funding for a period of 5 years for blue-skies research to build up or expand their research groups. The project team will consist of the principle investigator, three PhD students and two postdocs, collaborators from CopeNLU as well as external collaborators. The role of the PhD student to be recruited in this call will be to research methods for generating faithful free-text explanations of NLU models in collaboration with the larger project team. More information about the project can also be found here<http://www.copenlu.com/talk/2022_11_erc/>. Informal enquiries about the positions can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk?subject=PhD%20position%20on%20Explainable%20Natural%20Language%20Understanding>. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Head of the NLP Section, Department of Computer Science (DIKU) Co-Lead, Pioneer Centre for Artificial Intelligence University of Copenhagen Østervold Observatory Øster Voldgade 3 1350 Copenhagen augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk> http://isabelleaugenstein.github.io/

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PhDs in NLP at Queen Mary University of London for CSC candidates
by Matthew Purver 07 Nov '23

07 Nov '23

The school of Electronic Engineering and Computer Science at Queen Mary University of London is inviting applications for several PhD Studentships in specific areas in Electronic Engineering and Computer Science -- including several in natural language processing -- co-funded by the China Scholarship Council (CSC). CSC is offering a monthly stipend to cover living expenses and QMUL is waving fees and hosting the student. These scholarships are available only for Chinese candidates. Projects available include: - Emerging methods for analysing Pretrained Foundation Models - The shape of words - Interpretable language models for healthcare - Personalisation and temporal reasoning in LLMs wth applications in healthcare - Coreference resolution in the era of large language model - Interactive adaptation for large language models - Towards personalising and debiasing online content moderation For details on the available projects and supervising faculty please visit: http://eecs.qmul.ac.uk/phd/phd-studentships/csc-phd-studentships/csc-phd-st… -- Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/ Computational Linguistics Lab - http://compling.eecs.qmul.ac.uk/ Cognitive Science Research Group - http://cogsci.eecs.qmul.ac.uk/ School of Electronic Engineering and Computer Science Queen Mary University of London, London E1 4NS, UK *My working days for QMUL are **Tuesday-Thursday**; responses to mail on other days may be delayed.*

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): First Call for Tutorial Proposals
by Announce 07 Nov '23

07 Nov '23

*** First Call for Tutorial Proposals *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: February 28, 2024 AoE ***) CAiSE'24 invites proposals for tutorials on advanced topics in the field of Information Systems Engineering. Tutorials should aim at offering new insights, knowledge, and skills to professionals, educators, researchers, and students seeking to gain a better understanding either about methods of broad interest in the field, or emergent paradigms that are ripe for practical adoption or that require further research to reach maturity. Proposals emphasizing the special theme of the CAISE'24 conference “Information Systems in the Age of Artificial Intelligence” are encouraged, but proposals on other new or long-standing topics in information systems engineering are also welcome. Tutorials should be focused on principles, concepts, and methods. Commercial or sales-oriented presentations are not allowed and will not be accepted. Tutorials are intended to provide a pedagogic introduction to or overview of a topic of relevance. Potential presenters should keep in mind that there may be a heterogeneous audience, including novice graduate students, experienced practitioners, and specialized researchers. Tutorial speakers should be prepared to cope with this diversity in the audience. Tutorials will be 90 minutes long and organized in parallel with the technical sessions of the main conference and participants of the conference will have free access to all of them. Potential proposers are free to contact the tutorial chairs via e-mail to validate their idea prior to the submission. SELECTION CRITERIA The tutorial chairs will review each proposal and select a subset of them based on the following criteria: 1. relevance to the field of IS engineering; 2. anticipated appeal to the conference audience; 3. timeliness and importance for the conference audience; 4. past experience and qualifications of the instructor(s). The tutorial chairs will also consider the complementarity of the proposal w.r.t. the conference program and other tutorial proposals. SUBMISSION GUIDELINES Tutorial proposals should be submitted to Easy Chair using the conference submission site (https://easychair.org/conferences/?conf=caise2024) and then selecting the “CAiSE 2024 Tutorials” track. The proposal (length up to 1500 words) should cover the following points: • Title • Presenters and affiliation • Goal: The overall goal of the tutorial. • Scope: Intended audience, level (basic or advanced), and prerequisites. • Topic relevance and novelty: Specifically indicate the relevance to the scope of CAiSE, the relevance to practice, the novel aspects that would make this tutorial beneficiary and appealing to CAiSE participants. • Structure of contents: Here you should provide a structured overview of your planned tutorial, organized into numbered sections and subsections. For each subsection, you should sketch its contents in a few sentences or bullet points. • References: Provide references to papers, books, etc. that your tutorial builds on. Please specify previous venues at which similar tutorials have been presented by you and indicate the difference between the proposed tutorial and previous ones. CAiSE usually does not accept tutorials that have been presented in other venues. • Sample Slides: Include at least 5 sample slides of the presentation you plan to give if your tutorial is accepted. Select slides that are typical of your presentation style. These slides have to be submitted in a separate PDF file. Services provided to tutorialists • A 2-page tutorial abstract will be published in the CAiSE LNCS proceedings • Tutorials will benefit from the local organizational infrastructure (registration, badges, refreshments, beamers, screens, etc.). • Advertisement of the tutorial on CAISE 2024 homepage and mailings. • The conference fee will be waived for tutorial presenters (one fee per tutorial). IMPORTANT DATES • Submission of Tutorial Proposals: 28th February 2024 (AoE) • Notification of Acceptance: 15th March 2024 • Camera-ready Abstracts: 5th April 2024 TUTORIAL CHAIRS • Adela del Rio Ortega, University of Seville, Spain (adeladelrio(a)us.es) • Tiago Prince Sales, University of Twente, The Netherlands (t.princesales(a)utwente.nl) Other Committee Members https://cyprusconferences.org/caise2024/committees/

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Get your PhD @ UT Austin's iSchool (applications due Dec. 1)
by Matt Lease 06 Nov '23

06 Nov '23

The University of Texas at Austin's School of Information (iSchool) is seeking talented and committed students to join our Ph.D. Program in Fall 2024! We seek passionate and driven applicants who are excited to undertake cutting-edge research to benefit the world and its people. December 1st is our deadline to apply for fall 2024 admissions <https://www.ischool.utexas.edu/programs/phd-admissions>. Late applications may be submitted but are not guaranteed equal consideration. For additional information, please refer to our admissions website <https://www.ischool.utexas.edu/programs/phd-admissions> and recorded information session <https://youtu.be/_9OJ-uGo-Cg>. We will host a live information session online on Wednesday, November 15th (12pm-1pm US CDT). Event link: https://utexas.zoom.us/j/94848553117. Our iSchool is a top-ranked PhD program committed to making a difference in the world through high-impact research <https://www.ischool.utexas.edu/research>. Our work seeks to enhance human lives and communities by understanding the impact and potential of information, in all its forms. We work to harness the massive scale and value of information, discover the principles and processes to manage it, and design solutions that are novel, creative, accessible, useful, usable, and sustainable. To increase understanding of the role and impact of information in all human endeavors, we study problems and develop solutions and critique for better information design, management, organization, access, preservation, and retrieval. The study of information can encompass and often extends beyond any existing field. Our world-class, interdisciplinary faculty <https://www.ischool.utexas.edu/people/ischool-faculty-staff-students> spans a wide range of expertise: anthropology, communications, computer science, industrial engineering, library and information science, psychology, science & technology studies, and more. Our school has a strong tradition of fully financially supporting our doctoral students through a combination of Fellowships, Research Assistantships, and Teaching Assistantships. Our support packages are competitive, including tuition, health insurance, and a stipend sufficient to live comfortably in Austin. Beyond our top-ranked international graduate program, UT Austin is one of the world's premier research universities and is located in one of the USA's sunniest and most vibrant cities in which to live and work: - http://www.utexas.edu/about/overview - http://www.utexas.edu/campus-life/life-in-austin - https://www.austintexas.org/things-to-do/ Our university’s motto is not only that "What Starts Here Changes the World" <https://www.utexas.edu/> and we invite our community to "Make it Y/OUR Texas." Everyone who joins the iSchool community helps contribute to and amplifies our shared sense of belonging and purpose. We hope that you will embrace the opportunity and challenge that our PhD program offers and join us in conducting high-impact research that truly changes the world. We look forward to your application! For any questions about admissions to our doctoral program, please contact us at graduateadmit(a)ischool.utexas.edu. -- Matt Lease Professor School of Information University of Texas at Austin Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.536 http://www.ischool.utexas.edu/~ml

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Call for papers - AAC/CFP Corpus 26 - 2025 - Extended deadline 17 november 2023
by Luca Pallanti 06 Nov '23

06 Nov '23

AAC/CFP Corpus 26 - 2025 - https://journals.openedition.org/corpus/ <https://journals.openedition.org/corpus/> Background noise or added value? Managing noise during computer processing of linguistic corpora Elisa Gugliotta, Luca Pallanti, Olivier Kraif, Iris Fabry et Martina Barletta (eds.) -------FRENCH VERSION BELOW----- The increasing influence of NLP-related methodologies on corpus linguistics has compelled researchers to reassess their practices for managing noise and its impact on research results (Fuchs & Habert, 2004; Léon, 2018; Zalmout et al., 2018). Whether working with long-diachronic corpora (e.g., medieval French), dialectal corpora with limited resources (e.g., oral or written texts in dialectal Arabic, cf. Arabizi), or corpora of texts deviating from the norm (e.g., learner corpora), conducting noise analysis becomes an essential step in drawing linguistic conclusions from the available data (Molinelli & Putzu, 2015; Scaglione, 2018; Litosseliti, 2018). This special issue of Corpus builds upon a workshop held in April 2023 (https://je-bruit-corpus.sciencesconf.org/) and offers an opportunity to examine noise management methods in the fields of NLP and corpus linguistics, as well as their impact on the quality of linguistic data (Kraif & Ponton, 2007; Goutte et al., 2012; Zeroual, 2018). The fundamental inquiries in any linguistic study revolve around defining the research object, understanding the nature of the data, and determining ways to preserve its inherent characteristics throughout the various processing steps (such as lemmatisation, normalisation, labelling, etc.) (Sarrica et al., 2016). Hence, selecting appropriate methods for identifying and controlling noise becomes crucial throughout the entire process, from data collection to the archiving phase, and from data preparation to annotation (Egbert & Baker, 2019). The definition of noise itself is diverse and far from self-evident. In the field of NLP alone, this term encompasses a wide range of highly heterogeneous phenomena, including web peritexts - such as hyperlinks, menus and computer codes - as well as code switching and instances of spelling or grammatical errors that punctuate productions (Al Sharou et al., 2021). This special issue aims to delve into the definition of noise, from a linguistic perspective, and the practices employed by researchers to mitigate the biases that can arise from it. These practices are implemented during collection, recording, and annotation of data. The question of noise inevitably emerges at each stage of the empirical process involved in data construction and analysis: 1. Noise during data collection and recording If one accepts the postulate that "linguistic data is a result" (Benveniste, 1966), decoding the noise stemming from data collection and recording becomes crucial. Depending on the research object, various factors may contribute to data alteration, including the researcher's preconceptions or the biases introduced by an OCR system (Jentsch & Porada, 2020). The key challenge lies in predicting or identifying the potential biases induced by these factors during the selection and formatting of data. This enables better control over subsequent research stages and ensures greater accuracy in the analysis process. 2. Data preparation and pre-processing The methods employed to refine raw data and prepare it for advanced manipulation can give rise to a significant source of noise (or, conversely, of silence, if noise elimination filters are applied). This is particularly evident during the data normalization process (Al Sharou et al., 2021). When transcribing data or correcting errors, researchers must make choices that inevitably influence the nature of the data, either by reducing or enriching its content. As a result, it becomes essential to anticipate the consequences of the transformations introduced by data processing methods (Tanguy, 2012). 3. The annotation process and metadata Initially, corpus annotation aims to enrich the data by categorizing units through a labelling process, depending on the developed analysis model (Péry-Woodley et al., 2011). However, while this process has the potential to introduce noise, it can result in detrimental silence (when missing or erroneous labels lead to incomplete results during data analysis or querying). The concept of metadata also raises questions: does categorizing data transform it into something different? Furthermore, does the absence of agreement or low agreement in annotations produced by humans reflect inter-individual variations akin to noise, or does it stem from the inherent vagueness of the categorizations themselves? *** At each and every step of the process, key methodological questions arise: what threshold can be considered acceptable for noise? How can we differentiate between noise and methodological bias? Is it possible to estimate noise without a ground truth? Which statistical tools are specific to corpus studies and enable the definition of confidence intervals? How can we strike a balance to prevent the noise resulting from compromising research outcomes? *** Proposals for articles may address these topics from a general point of view, offering a theoretical and methodological perspective. Alternatively, they can be based on one or more case studies that focus on specific observations, while highlighting the noise management methods employed throughout the study. References Al Sharou, K., Li, Z., & Specia, L. (2021). Towards a Better Understanding of Noise in Natural Language Processing. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 5362. https://aclanthology.org/2021.ranlp-1.7 Benveniste, É. (1966). Problèmes de linguistique générale. Gallimard. Egbert, J., & Baker, P. (Eds.). (2019). Using corpus methods to triangulate linguistic analysis. Routledge. Fuchs, C., & Habert, B. (2004). Le traitement automatique des langues : Des modèles aux ressources. Le Français Moderne - Revue de linguistique Française, CILF (conseil international de la langue française), LXXII: 1, online. Goutte, C., Carpuat, M., & Foster, G. (2012). The impact of sentence alignment errors on phrase-based machine translation performance. In Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers. Jentsch, P., & Porada, S. (2020). From Text to Data : Digitization, Text Analysis and Corpus Linguistics. In S. Schwandt (Éd.), Digital Humanities Research (1re éd., Vol. 1, p. 89128). transcript Verlag / Bielefeld University Press. https://doi.org/10.14361/9783839454190-004 Kraif, O., & Ponton, C. (2007). Du bruit, du silence et des ambiguïtés : Que faire du TAL pour l'apprentissage des langues ? TALN 2007, 143152. https://hal.archives-ouvertes.fr/hal-01073706 Léon, J. (2018). Tal et linguistique : Application, expérimentation, instrumentalisation. ELA. Etudes de linguistique appliquee, 2(190), 195203. Litosseliti, L. (Ed.). (2018). Research methods in linguistics. Bloomsbury Publishing. Molinelli, P., & Putzu, I. (2015). Modelli epistemologici, metodologie della ricerca e qualità del dato. Dalla linguistica storica alla sociolinguistica storica. Franco Angeli. Péry-Woodley, M.-P., Afantenos, S. D., Ho-Dac, L.-M., & Asher, N. (2011). La ressource ANNODIS, un corpus enrichi d'annotations discursives. TAL, 52(3), 71101. Sarrica, M., Mingo, I., Mazzara, B., & Leone, G. (2016). The effects of lemmatization on textual analysis conducted with IRaMuTeQ: results in comparison. JADT2016: 13ème Journées Internacionales d'Analyse Statistique de Données Textuelles. Scaglione, F. (2018). "Lavorare"; il dato linguistico: Prospettive e limiti. Alcune considerazioni dall'esperienza dell'Atlante Linguistico della Sicilia (ALS). In G. Sampino (Éd.), Atti del convegno internazionale dei dottorandi (p. 101122). Tanguy, L. (2012). Complexification des données et des techniques en linguistique : contribution du TAL aux solutions et aux problèmes. HDR dissertation, Université de Toulouse 2 - le Mirail. Zalmout, N., Erdmann, A., & Habash, N. (2018). Noise-robust morphological disambiguation for dialectal Arabic. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (pp. 953-964). Zeroual, I. (2018). Building Arabic Corpora: Concepts, Methodologies, Tools, and Experiments (Doctoral dissertation, University of Maryland, USA). Retro-planning * July 2023: call for publications. * 17 November: pre-selection based on article summaries. * March 2024: article submission deadline. * June 2024: response to the authors. * June-October 2024: review process with authors to submit the final version of the article. * November-December 2024: editing process. * January 2025: publication. Please note that this retro-planning outlines a general timeline and may vary depending on the specific publication requirements. Abstract submission * Your abstract should be no longer than 1,500 words, including bibliographical references. * Please submit your abstracts by November 10, 2023 to elisa.gugliotta(a)ilc.cnr.it and luca.pallanti(a)univ-lyon2.fr. ----- FRENCH VERSION------ Bruit de fond ou valeur ajoutée ? Gérer le bruit lors des traitements informatiques des corpus linguistiques Sous la direction de Elisa Gugliotta, Luca Pallanti, Olivier Kraif, Iris Fabry et Martina Barletta L'influence croissante des méthodologies liées au TAL sur la linguistique de corpus oblige les chercheurs à réinterroger les pratiques de gestion du bruit et son impact dans les résultats de recherche (Fuchs & Habert, 2004 ; Léon, 2018 ; Zalmout et al., 2018). Qu'il s'agisse de corpus en diachronie longue (ex. français médiéval), de corpus dialectaux aux ressources limitées (ex. textes oraux ou écrits en arabe dialectal, cf. arabizi), ou encore de corpus de textes éloignés de la norme (ex. corpus d'apprenants), l'analyse du bruit est une étape nécessaire pour tirer des conclusions linguistiques des données ainsi évaluées (Molinelli & Putzu, 2015 ; Scaglione, 2018 ; Litosseliti, 2018). Ce numéro thématique de la revue Corpus, qui fait suite à une journée d'étude sur le même thème organisée en avril 2023 (https://je-bruit-corpus.sciencesconf.org/), sera l'occasion de réfléchir sur les méthodes de gestion du bruit dans les domaines du TAL et de la linguistique de corpus outillée, et à son impact sur la qualité des données linguistiques (Kraif et Ponton, 2007 ; Goutte et al., 2012 ; Zeroual, 2018). Les questions sous-jacentes à toute étude linguistique concernent la définition de l'objet de recherche, la nature des données elles-mêmes, et la manière de préserver autant que possible leurs caractéristiques dans les différents traitements (lemmatisation, normalisation, étiquetage, etc.) (Sarrica et al., 2016). Ainsi, le choix des méthodes d'identification et de contrôle du bruit, de la phase de collecte à celle d'archivage, de la préparation des données à l'annotation, joue un rôle fondamental (Egbert & Baker, 2019). La définition même du bruit est multiple, et ne va pas de soi : dans le seul champ du TAL, ce terme, souvent peu interrogé, désigne des phénomènes variables et très hétérogènes, allant des péritextes du Web - hyperliens, menus et codes informatiques - au code switching, en passant par les erreurs d'orthographe ou de grammaire qui émaillent les productions (Al Sharou et al., 2021). Ce numéro thématique propose de mener une réflexion sur la définition du bruit, dans une perspective linguistique, et sur les pratiques des chercheurs visant à réduire la portée des biais qui en découlent, que ce soit durant la collecte, l'enregistrement ou l'annotation des données. Dans le concret de la recherche, la question du bruit se pose à chaque étape de la démarche empirique de construction et d'analyse des données : 1. Le bruit pendant la collecte et l'enregistrement des données Si l'on accepte le postulat selon lequel " la donnée linguistique est un résultat " (Benveniste, 1966), comment décoder le bruit causé par le recueil des données et leur enregistrement ? En effet, en fonction des objets de recherche, il existe des facteurs potentiels d'altération des données, comme par exemple les préconceptions du chercheur, ou les biais introduits par un système OCR donné (Jentsch & Porada, 2020). L'enjeu consiste alors à prédire ou à déterminer les biais potentiels induits par ces facteurs lors de la sélection et la mise en forme des données pour mieux contrôler les phases de recherche successives. 2. La préparation et le prétraitement des données. Les méthodes choisies pour affiner les données brutes et les rendre disponibles pour des manipulations avancées peuvent représenter une importante source de bruit (ou, au contraire, de silence si on applique un filtre pour éliminer le bruit) : c'est notamment le cas du processus de normalisation des données (Al Sharou et al., 2021). Qu'il s'agisse de transcrire des données ou de corriger des erreurs, le chercheur fait des choix qui impactent nécessairement la nature des données, soit en les réduisant, soit en les enrichissant. Il s'agit donc d'anticiper les conséquences des transformations produites par les méthodes de traitement des données (Tanguy, 2012). 3. Le processus d'annotation et les métadonnées À la base, l'annotation des corpus est une étape visant l'enrichissement des données : en fonction du modèle d'analyse mis au point, le chercheur tente de catégoriser des unités à travers un processus d'étiquetage (Péry-Woodley et al., 2011). Cependant, si d'un côté ce processus peut générer du bruit, de l'autre, il peut être une cause de silence fort préjudiciable aux résultats des recherches et à leur interprétation (des étiquettes absentes ou erronées pouvant générer des résultats lacunaires lors de l'analyse ou du requêtage des données). La notion de métadonnée peut également être mise en cause: catégoriser une donnée signifie-t-il la transformer en quelque chose d'autre ? Par ailleurs, l'absence d'accord ou un faible accord dans les annotations produites par l'humain manifeste-t-il des variations interindividuelles assimilables à du bruit, ou au caractère trop vague des catégorisations en jeu ? *** A chaque étape se posent des questions méthodologiques centrales : à partir de quel seuil peut-on considérer le bruit comme acceptable ? Comment différencier bruit et biais méthodologique ? Comment estimer le bruit sans vérité de terrain ? Quels outils statistiques spécifiques à l'étude des corpus permettent de délimiter des intervalles de confiance ? Comment atteindre l'équilibre nécessaire pour que le bruit causé par les traitements des données ne compromette pas les résultats des recherches ? *** Les propositions d'article pourront aborder ces questions d'un point de vue général, sous un angle théorique et méthodologique, ou s'appuyer sur une ou plusieurs études de cas portant sur des observations particulières, en prenant soin de mettre en lumière les méthodes de gestion du bruit tout au long de l'étude. Retro-planning * Juillet 2023 : publication du l'Appel * 17 novembre 2023 : pré-sélection sur résumé * Mars 2024 : remise des articles. Juin 2024 : réponse aux auteurs * Juin-octobre 2024 : navette avec les auteurs pour remise de l'article en forme définitive. * Novembre-décembre 2024 : édition. * Janvier 2025 : publication. Soumission des résumés * Votre résumé comptera 1.500 mots au maximum, références bibliographiques inclues. * Merci de soumettre vos résumés pour le 10 novembre 2023 aux adresses elisa.gugliotta(a)ilc.cnr.it et luca.pallanti(a)univ-lyon2.fr Références Al Sharou, K., Li, Z., & Specia, L. (2021). Towards a Better Understanding of Noise in Natural Language Processing. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 5362. https://aclanthology.org/2021.ranlp-1.7 Benveniste, É. (1966). Problèmes de linguistique générale. Gallimard. Egbert, J., & Baker, P. (Eds.). (2019). Using corpus methods to triangulate linguistic analysis. Routledge. Fuchs, C., & Habert, B. (2004). Le traitement automatique des langues : Des modèles aux ressources. Le Français Moderne - Revue de linguistique Française, CILF (conseil international de la langue française), LXXII: 1, online. Goutte, C., Carpuat, M., & Foster, G. (2012). The impact of sentence alignment errors on phrase-based machine translation performance. In Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers. Jentsch, P., & Porada, S. (2020). From Text to Data : Digitization, Text Analysis and Corpus Linguistics. In S. Schwandt (Éd.), Digital Humanities Research (1re éd., Vol. 1, p. 89128). transcript Verlag / Bielefeld University Press. https://doi.org/10.14361/9783839454190-004 Kraif, O., & Ponton, C. (2007). Du bruit, du silence et des ambiguïtés : Que faire du TAL pour l'apprentissage des langues ? TALN 2007, 143152. https://hal.archives-ouvertes.fr/hal-01073706 Léon, J. (2018). Tal et linguistique : Application, expérimentation, instrumentalisation. ELA. Etudes de linguistique appliquee, 2(190), 195203. Litosseliti, L. (Ed.). (2018). Research methods in linguistics. Bloomsbury Publishing. Molinelli, P., & Putzu, I. (2015). Modelli epistemologici, metodologie della ricerca e qualità del dato. Dalla linguistica storica alla sociolinguistica storica. Franco Angeli. Péry-Woodley, M.-P., Afantenos, S. D., Ho-Dac, L.-M., & Asher, N. (2011). La ressource ANNODIS, un corpus enrichi d'annotations discursives. TAL, 52(3), 71101. Sarrica, M., Mingo, I., Mazzara, B., & Leone, G. (2016). The effects of lemmatization on textual analysis conducted with IRaMuTeQ: results in comparison. JADT2016: 13ème Journées Internacionales d'Analyse Statistique de Données Textuelles. Scaglione, F. (2018). "Lavorare"; il dato linguistico: Prospettive e limiti. Alcune considerazioni dall'esperienza dell'Atlante Linguistico della Sicilia (ALS). In G. Sampino (Éd.), Atti del convegno internazionale dei dottorandi (p. 101122). Tanguy, L. (2012). Complexification des données et des techniques en linguistique : contribution du TAL aux solutions et aux problèmes. HDR dissertation, Université de Toulouse 2 - le Mirail. Zalmout, N., Erdmann, A., & Habash, N. (2018). Noise-robust morphological disambiguation for dialectal Arabic. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (pp. 953-964). Zeroual, I. (2018). Building Arabic Corpora: Concepts, Methodologies, Tools, and Experiments (Doctoral dissertation, University of Maryland, USA).

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Call for papers for the issue 72 of the journal Procesamiento del Lenguaje Natural
by aitziber.atucha＠ehu.eus 06 Nov '23

06 Nov '23

[Spanish version below] Please consider contributing and/or forwarding to appropriate colleagues and groups. *******We apologize for the multiple copies of this e-mail****** Call for papers for the issue 72 of the journal Procesamiento del Lenguaje Natural http://www.sepln.org/en/journal http://www.sepln.org/en/journal/author-guidelines Introduction The aim of the journal Procesamiento del Lenguaje Natural is to provide a forum for the publication of scientific-technical articles in the field of Natural Language Processing (NLP), for both the national and international scientific community. The articles must be unpublished and cannot be simultaneously submitted for publication in other journals or conference proceedings. The journal also aims to promote the development of areas related to NLP, disseminate research carried out, identify future guidelines for basic research, and present software applications in this field. Every year the Sociedad Española de Procesamiento del Lenguaje Natural (SEPLN) (Spanish Society for the Natural Language Processing) publishes two issues of the journal, including original articles, presentations of R&D projects, book reviews and summaries of PhD theses. The scientific quality of the Journal is supported by the 2022 JCR index (JCI: 0.31, Q4-Linguistics - ESCI), the SCImago Journal Ranking (2022 SJR: 0.421, Q3-Computer Science Applications, Q1-Linguistics and Language), the Scopus Index (2022 CiteScore: 2.9, Q3-Computer Science Applications, Q1-Linguistics and Language) and the index SNIP (Source Normalized Impact per Paper) with 0.93 points. More information at: http://www.sepln.org/en/journal/quality. Topics Linguistic, mathematical and psycholinguistic models of language Machine learning in NLP Computational lexicography and terminology Corpus linguistics Development of linguistic resources and tools Grammars and formalisms for morphological and syntactic analysis Semantics, pragmatics and discourse Word sense disambiguation Monolingual and multilingual text generation Machine translation Knowledge and common sense Multimodality Speech synthesis and recognition Dialogue systems and interactive systems/ Conversational assistants Audio indexing and retrieval Monolingual and multilingual information extraction and retrieval Question answering systems Evaluation of NLP systems Automatic textual content analysis Sentiment analysis, opinion mining and argument mining Plagiarism detection Negation and speculation processing Text mining in blogosphere and social networks Text summarization Text simplification Image retrieval NLP in biomedical domain NLP-based generation of teaching resources NLP for languages with limited resources NLP industrial applications Low-resource NLP tasks, data augmentation Submission Information The proposal must be submitted by December 1st, 2023 and must meet certain format and style requirements. All submissions must be in PDF format and submitted electronically using the Myreview system available at: http://myreview.sepln.org/myreview-sepln72 Submitted papers will be subjected to a blind review by at least three members of the program committee. Categories of papers Regular papers with original contributions. Summary of PhD thesis. Information for Authors The proposals can be written in Spanish or English and should be at most 10 A4-size pages of content, plus unlimited pages for references, and 4 pages maximum for summaries of PhD theses. The papers must include the following sections: The title of the communication (in English and Spanish). An abstract in English and Spanish (maximum 150 words). A list of keywords or related topics (in English and Spanish). The documents must not include headers or footers. As reviewing will be blind, the paper should not include the authors’ names and affiliation. Furthermore, self-references that reveal the author’s identity should be avoided. The articles should only include the title, the abstract, the keywords and the proposal. We recommend using the LaTeX and Word templates that can be downloaded from the SEPLN web (author guidelines have been updated): http://www.sepln.org/index.php/en/journal/author-guidelines Note on camera ready The final version of the paper (camera ready) should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper. Preprint policy The Journal allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper it is “under review” in the Journal Procesamiento del Lenguaje Natural. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper. Important dates Submission deadline: 1 December 2023 Notification of acceptance: 5 February 2024 Camera ready: 12 February 2024 Publication: March 2024 Contact person: Aitziber Atutxa (aitziber.atucha(a)ehu.eus) Editorial Committee of the Procesamiento del Lenguaje Natural -------------------------------------------------------------------------------------------------------------------- ***********Disculpen si reciben varias copias de este mensaje ************ Por favor, si lo considera oportuno, distribuya este llamamiento entre sus colegas. Petición de artículos para la revista Procesamiento del Lenguaje Natural nº 72. http://www.sepln.org/la-revista http://www.sepln.org/la-revista/informacion-para-autores Objetivos de la revista La revista Procesamiento del Lenguaje Natural es un foro de publicación de artículos científico-técnicos en el ámbito del Procesamiento del Lenguaje Natural (PLN), tanto para la comunidad científica nacional como internacional. Los artículos tienen que ser inéditos y no haber sido postulados para ser publicados simultáneamente en otras revistas o actas de congresos. La revista quiere potenciar el desarrollo de las diferentes áreas relacionadas con el PLN, mejorar la divulgación de las investigaciones que se llevan a cabo, identificar las futuras directrices de la investigación básica y mostrar las posibilidades reales de aplicación en este campo. Anualmente la SEPLN (Sociedad Española para el Procesamiento del Lenguaje Natural) publica dos números de la revista, que incluyen artículos originales, presentaciones de proyectos, reseñas bibliográficas y resúmenes de tesis doctorales. La calidad científica de la Revista está respaldada por el índice del JCR 2022 (JCI: 0,31, Q4-Linguistics - ESCI), el índice SCImago Journal Ranking (SJR: 0,421, Q3-Computer Science Applications, Q1-Linguistics and Language), el índice de Scopus (CiteScore: 2,9, Q3-Computer Science Applications, Q1-Linguistics and Language) y el índice SNIP (Source Normalized Impact per Paper) con 0,93 puntos. Más información en http://www.sepln.org/la-revista/calidad. Áreas temáticas Modelos de lenguaje matemáticos y psicolingüísticos Aprendizaje automático en PLN Lexicografía y terminología computacional Lingüística de corpus Desarrollo de recursos y herramientas lingüísticas Gramáticas y formalismos para análisis morfológico y sintáctico Semántica, pragmática y discurso Resolución de ambigüedad léxico-semántica Generación de texto monolingüe y multilingüe Traducción automática Multimodalidad Reconocimiento y síntesis de habla Sistemas de diálogo/ asistentes conversacionales Auto-indexación Recuperación y extracción de información monolingüe y multilingüe Sistemas de búsqueda de respuestas Evaluación de sistemas de PLN Análisis automático de contenido textual Análisis de sentimiento y minería de opiniones Detección de plagio Procesamiento de la negación y la especulación Minería de texto en la blogosfera y las redes sociales Resumen automático de texto Simplificación de texto Recuperación de imágenes Conocimiento y sentido común PLN en el ámbito biomédico Generación de recursos didácticos basada en PLN PLN para lenguas con recursos limitados Aplicaciones industriales del PLN Tratamiento del Lenguaje Hablado Envío de trabajos Las propuestas de trabajos (artículos y resúmenes de tesis) podrán ser enviadas hasta la fecha límite del 1 de diciembre de 2023. El envío y la revisión de las propuestas se realizarán exclusivamente en formato PDF y se gestionarán a través del sistema Myreview: http://myreview.sepln.org/myreview-sepln72. La evaluación de los trabajos pasará por un proceso de revisión ciego realizado como mínimo por tres miembros del consejo asesor de la SEPLN. Tipos de trabajos Artículos sobre contribuciones originales. Reseñas de tesis doctorales. Instrucciones para los Autores Los trabajos pueden estar escritos en español o en inglés y su longitud máxima será de 10 páginas de contenido más un número ilimitado de páginas de referencias para los artículos científicos, y de un máximo de 4 páginas para los resúmenes de tesis. Las propuestas deben contener los siguientes apartados: El título del artículo (en español e inglés). Un resumen en español y un abstract en inglés de un máximo de 150 palabras. Un listado de temas relacionados o palabras clave (en español e inglés). Los documentos no podrán incluir cabeceras ni pies de página. Como la fase de revisión de los trabajos es ciega, en los artículos que se envíen no se debe incluir ninguna referencia a los autores ni referencias propias que revelen la identidad de los mismos. Todas las contribuciones deben contener únicamente el título, el resumen, las palabras claves y la propuesta. En el caso de los resúmenes de tesis, el anonimato no es necesario. Los trabajos deben seguir el formato de las revistas de la SEPLN disponible en la siguiente dirección: http://www.sepln.org/la-revista/informacion-para-autores Las guías se han actualizado, por favor, utilicen las que están disponibles en la página web de la revista. Nota sobre la versión final La versión final del trabajo (camera ready) debe enviarse con un documento en el que se explique cómo se han implementado las sugerencias de los revisores. Dicho documento se tendrá en cuenta para aceptar o rechazar el trabajo en cuestión. Política de prepublicación La revista permite publicar una versión no revisada de los artículos en plataformas de prepublicación (plataformas de artículos no evaluados como ArXiv). Sin embargo, durante el periodo de revisión se debe indicar que el artículo está “en revisión” en la revista Procesamiento del Lenguaje Natural. Si el artículo es aceptado, se debe actualizar la publicación en la plataforma de prepublicación con el DOI, nombre de la revista y la información bibliográfica del artículo. Fechas importantes Envío de trabajos: 1 de diciembre de 2023 Notificación de aceptación o rechazo: 5 de febrero de 2024 Versión final: 12 de febrero de 2024 Publicación: Marzo de 2024 Persona de contacto:Aitziber Atutxa (aitziber.atucha(a)ehu.eus) Consejo de redacción de la revista Procesamiento del Lenguaje Natural.

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Looking for semantic resources in Italian, German or Spanish
by fanny.ducel＠lisn.upsaclay.fr 06 Nov '23

06 Nov '23

Dear all, For an experiment, I need some resources that include semantic annotations for inflectional languages (especially Italian, German, and Spanish). More precisely, I would need a list of common nouns that refer to human entities in these languages (i.e. "man", "woman", "teenager", "uncle", "baker", "liar", ...). If the annotations also include information on gender, it would be even better. For instance, for French, DELA (UNITEX dictionaries), Démonette, or FrSemCor are appropriate, but their counterparts in other languages (especially for DELA) do not include the semantic annotations I am looking for. To give you a more concrete idea, in the mentioned French resources, we can find lexical entities followed by annotations such as ":Person", "+Hum", "+Profession" (occupation) or "@AGM/@AGF" (masculine/feminine agent). Do you have any ideas or suggestions? So far, the relevant resources I found are either under a prohibitive license or the links are not working anymore. I am looking for resources that are free for non-commercial, academic use. Thanks a lot and have a nice week, Fanny Ducel - PhD Student at LISN, Université Paris-Saclay (France) - fanny.ducel(a)lisn.fr

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Tenure-track position in Sociolinguistics @Universitat Pompeu Fabra, Barcelona
by Gemma Boleda 06 Nov '23

06 Nov '23

** note the tight deadline for applications: Nov 23, 2023* at 11:59 PM Eastern Time * *Tenure-track position in Sociolinguistics* Pompeu Fabra University: Department of Translation and Language Sciences *Position description* We are seeking to fill a faculty position in the area of Sociolinguistics. This is a regular faculty appointment. Duties include research and knowledge transfer, teaching, and administrative service. *Research profile: *We are seeking to hire a researcher with a PhD in Linguistics or allied field who will be establishing, or have established, a track record of high-quality research in sociolinguistics and who is committed to excellence in teaching and supervision. We particularly welcome applications from scholars whose research and teaching interests include experimental or computational methods for sociolinguistics which will establish new connections with other research areas in the department including computational linguistics, corpus studies, language variation, multi/bilingualism, language contact, language attitudes, or discourse analysis. Ideally, the candidate will be familiar with and/or work on the specific sociolinguistic situation of Catalonia or related/similar contexts. The candidate is expected to have skills for transferring research outcomes to the academic community as well as society at large. While pursuing their own research agenda, the candidate is expected to strengthen the Department’s research priorities and to be able to engage in interdisciplinary collaboration with research groups in the Department and, more broadly, the Catalan research ecosystem. They should have a clear vision on how to apply for funding, with an ambitious but realistic plan for the next five years. *Teaching responsibilities:*The appointee will teach between 120 and 180 classroom hours annually in undergraduate and graduate courses, including final project supervision (undergraduate, master’s and PhD dissertations). Specifically, they will be expected to coordinate teams of co-teachers as well as teach in the module of Language and Society in the BA degrees offered by the School of Translation and Language Sciences and in the master’s degrees of the Department (Master’s in Discourse Studies and Master’s in Theoretical and Applied Linguistics). *Department offer:*Annual gross salary is ca. 37,200 €. The standard duration of the contract is 5 years; during the 4th year the Tenure-track lecturer will undergo performance evaluation in all areas, including their commitment to the Department’s goals and needs. If performance evaluation is successful, the University will issue a call for a permanent, tenured position. Tenure-track faculty are eligible for the reimbursement of relocation expenses. *More information and application*: https://apply.interfolio.com/135520

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Call for abstracts, UniDive 2nd general meeting, University of Naples L’Orientale, Italy, 7-9 February 2024
by jmonti＠unior.it 04 Nov '23

04 Nov '23

UniDive is a COST action, i.e. a scientific network, dedicated to universality, diversity and idiosyncrasy in language technology. It is structured around 4 Working Groups: WG1: Corpus annotation WG2: Lexicon-corpus interface WG3: Multilingual and cross-lingual language technology WG4: Quantifying and promoting diversity The second general meeting of the action will take place on February 7-9, 2024 at the University of Naples L’Orientale in Italy. We invite UniDive WG members to submit abstract proposals related to the scientific program of the WGs. Proposals may describe diverse types of contributions, according to 3 different tracks: Planned work Work in progress Complete work, also previously published A proposal should be anonymous, written in English and submitted in pdf only. It should include (on the title page) the list of the relevant WGs. It should not exceed 2 pages, including figures and tables (bibliographic references may go beyond the 2-page limit). If linguistic examples from languages other than English are included, those should be glossed and translated into English, and an extra half page is allowed for this purpose. For the sake of uniformity and easing the reviewers’ effort, we encourage authors to use the following Overleaf Latex template: https://www.overleaf.com/read/yqbpxcbjmjjw Other formats (not necessarily Latex-based) can also be used, provided that they conform to the following specifications: A4 paper, 11pt font, 1in margins. The submission link will be announced soon. The reviewing process is double-blind. The selection of proposals will be done by UniDive Program Committee according to the following criteria: - relevance to UniDive and the work program of its Working Groups (see pp. 18-20 of the Memorandum of Understanding), - clarity - diversity of the languages covered by the workshop program The selected proposals will be presented at the 2nd UniDive general meeting as posters and/or oral presentations. At least one author per selected proposal will be reimbursed for their travel and stay. Important dates - 26 October 2023: Call for abstracts - 24 November 2023: Submission deadline - 15 December 2023: Notification of acceptance - 20 December 2023: Communication of the names of the presenters - 12 January 2024: Final versions of abstracts - 7-9 February 2024: UniDive 2nd general meeting The time zone for all deadlines is anywhere on Earth (UTC-12). Due to the tight schedule, no extension of the submission deadline is foreseen. Program Chairs Victoria Bobicev, Technical University of Moldova (Moldova) Johanna Monti, University of Naples L’Orientale (Italy) Ranka Stanković, University of Belgrade (Serbia)

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Berkeley ML/AI Safety Research Program
by rocket＠serimats.org 03 Nov '23

03 Nov '23

The MATS Winter 2023-24 Cohort has launched! Apply by Nov 17 (or Nov 10 for Neel Nanda). The ML Alignment & Theory Scholars (MATS) Program is an educational seminar and independent research program. MATS provides talented scholars with talks, workshops, and research mentorship in the field of AI safety, and connects them with the Berkeley AI safety research community. The program takes place in Berkeley, CA from January 8 to March 17. If you’d like to sign up for program updates and application deadline reminders, **fill out our interest form (see below)** (~1 min)! If you know anyone you’d be excited to see apply to MATS, you can fill out our recommendation form (see below) (~1 minute). We’ll reach out to encourage them to apply! Read more about the winter program here: https://www.lesswrong.com/posts/tqyg3DpoiE4DKyi4y/apply-for-mats-winter-202…. Website: https://matsprogram.org Mentors: https://www.matsprogram.org/mentors Interest form: https://airtable.com/appxum3Sqh7TdDvdg/shrwtDZXeSfzeh5GT Recommendation form: https://airtable.com/appxum3Sqh7TdDvdg/shrRtJW4Ux8oTY28C

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Two Open NLP Positions at University of Würzburg (CAIDAS)
by janna.omeliyanenko＠gmail.com 03 Nov '23

03 Nov '23

The Data Science Chair at JMU Würzburg as a member of the Center for AI and Data Science (CAIDAS) offers two positions for doctoral researchers (m/w/d) in the area of machine learning and natural language processing. The first position will work within the BigData@Geo2 project, the followup of the successful BigData@Geo project [1], that provides machine-learning-aided decision support for agricultural measures in the light of regional climate change. This includes prediction of crop yields and enabling proactive agricultural strategies. The second position is part of the LitBERT project, which focuses on developing machine learning solutions to support and improve the modelling and analysis of characters in literary texts. The BigData@Geo2 position will allow you to work on data from many small companies in the form of historical yearbooks, as well as general information from local newspapers or social media discussing local climate events. Using this data, you will develop new methods for discovering climate, ecosystem and agriculturally relevant events that assist in the overarching goal of BigData@Geo2 of assessing the economic viability of agricultural decisions, such as which crops to grow in future seasons, or predicting crop yield. In the LitBERT position, you will work with a large collection of German literary texts such as narratives and novels to develop improved language models that provide a foundation for comprehensive analysis of literary characters. This includes automatic extraction of character traits, categorizing their types, and analysis of the complex evolution of relationships between characters in literary texts. The work focuses on using and improving state-of-the-art language models to effectively address the unique challenges posed by literary texts. Payment is at the level of E13 according to the German federal wage agreement scheme (TV-L). Candidates are expected to have a strong background in computer science and mathematics, with a specialization in machine learning and interest in the topic of one of the positions. Prior knowledge in the field of deep learning in one of the subject areas is advantageous. Please send your application (letter of motivation, curriculum vitae, academic records) at your earliest convenience, but no later than November 30th, 2023, to Prof. Dr. Andreas Hotho (dmir-jobs(a)uni-wuerzburg.de). You are welcome to contact us on the same address for additional details. [1] https://bigdata-at-geo.eu/

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21st International Conference on Software and Systems Reuse (ICSR 2024): Second Call for Papers
by Announce 03 Nov '23

03 Nov '23

*** Second Call for Papers *** 21st International Conference on Software and Systems Reuse (ICSR 2024) June 10-12, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/icsr2024/ (*** Submission Deadline: 12th February, 2024 AoE ***) The International Conference on Software and Systems Reuse (ICSR) is a biannual conference in the field of software reuse research and technology. ICSR is a premier event aiming to present the most recent advances and breakthroughs in the area of software reuse and to promote an intensive and continuous exchange among researchers and practitioners. The guiding theme of this edition is Sustainable Software Reuse. We invite submissions on new and innovative research results and industrial experience reports dealing with all aspects of software reuse within the context of the modern software development landscape. Topics include but are not limited to the following. 1 Technical aspects of reuse, including • Reuse in/for Quality Assurance (QA) techniques, testing, verification, etc. • Domain ontologies and Model-Driven Development • Variability management and software product lines • Context-aware and Dynamic Reuse • Reuse in and for Machine Learning • Domain-specific languages (DSLs) • New language abstractions for software reuse • Generative Development • COTS-based development and reuse of open source assets • Retrieval and recommendation of reusable assets • Reuse of non-code artefacts • Architecture-centric reuse approaches • Service-oriented architectures and microservices • Software composition and modularization • Sustainability and software reuse • Economic models of reuse • Benefit and risk analysis, scoping • Legal and managerial aspects of reuse • Reuse adoption and transition to software reuse • Lightweight reuse approaches • Reuse in agile projects • Technical debt and software reuse 2 Software reuse in industry and in emerging domains • Reuse success stories • Reuse failures, and lessons learned • Reuse obstacles and success factors • Return on Investment (ROI) studies • Reuse in hot topic domains (Artificial Intelligence, Internet of Things, Virtualization, Network functions, Quantum Computing, etc.) We welcome research (16 pages) and industry papers (12 pages) following the Springer Lecture Notes in Computer Science format. Submissions will be handled via EasyChair (https://easychair.org/my/conference?conf=icsr2024). Submissions will be **double-blindly** reviewed, meaning that authors should: • Omit all authors’ names and affiliations from the title page • Do not include the acknowledgement section, if you have any, in the submitted paper • Refer to your own work in the third person • Use anonymous GitHub, Zenondo, FigShare or equivalent to provide access to artefacts without disclosing your identity Both research and industry papers will be reviewed by members of the same program committee (check the website for details). Proceedings will be published by Springer in their Lecture Notes for Computer Science (LNCS) series. An award will be given to the best research and the best industry papers. The authors of selected papers from the conference will be invited to submit an extended version (containing at least 30% new material) to a special issue in the Journal of Systems and Software (Elsevier). More details will follow. IMPORTANT DATES • Abstract submission: February 12, 2024, AoE • Full paper submission: February 19, 2024, AoE • Notification: April 8, 2024, AoE • Camera Ready: April 22, 2024, AoE • Author Registration: April 22, 2024 AoE ORGANISATION Steering Committee • Eduardo Almeida, Federal University of Bahia, Brazil • Goetz Botterweck, Lero, University of Limerick, Ireland • Rafael Capilla, Rey Juan Carlos University, Spain • John Favaro, Trust-IT, Italy • William B. Frakes, IEEE TCSE committee on software reuse, USA • Martin L. Griss, Carnegie Mellon University, USA • Oliver Hummel, University of Applied Sciences, Germany • Hafedh Mili, Université du Québec à Montréal, Canada • Nan Niu, University of Cincinnati, USA • George Angelos Papadopoulos, University of Cyprus, Cyprus • Claudia M.L. Werner, Federal University of Rio de Janeiro, Brazil General Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Co-Chairs • Achilleas Achilleos, Frederick University, Cyprus • Lidia Fuentes, University of Malaga, Spain

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Postdoc in Natural Language Processing / Text Simplification
by Horacio Saggion 02 Nov '23

02 Nov '23

We are looking for a well-motivated and technically strong postdoc researcher in the area of Natural Language Processing (NLP) with experience on Text Simplification, Text Summarization or Text Generation to carry out research and development in the context of the iDEM Horizon Europe project coordinated by Universitat Pompeu Fabra. The project's main objective is to produce technology to make text more accessible to people who need support to read and comprehend language and to facilitate communication and dialogue in democratic spaces. The postdoc will work in the LaSTUS/TALN laboratory under the supervision of Prof. Horacio Saggion, coordinator of iDEM. The LaSTUS laboratory and TALN research group is one of the leading groups in NLP in Spain, with an important track record of participation in European and national research projects. The group works in diverse areas of NLP including text accessibility, language translation, sign language processing, dialogue systems, summarization, lexicography, social network text analysis, etc. We offer a truly international and stimulating environment for developing an international and well recognized research career. The ideal candidate will have a PhD in Computer Science or Computational Linguistics with very good knowledge of current Deep learning for NLP, especially Large Language Models (LLMs), generative AI and their adaptation to different tasks. Knowledge and experience with current Deep Learning frameworks and libraries are required. Experience with software development and management tools is required. The candidate will work in several areas of the iDEM project including, but not limited to: · Carry out research on readability assessment of different corpora related to the project · Develop algorithms for multilingual text simplification (Spanish, Italian, Catalan, and English) for people with language impairment · Develop text generation algorithms based on LLMs to generate discourses for people with language impairment · Investigate and adopt methods for evaluation of the simplification and generation technology · Assist the principal investigator with the day-by-day research activities · Administer the software and data resources generated by the project · Coordinate work activities, tasks and deliverables with other partners · Produce deliverables of excellent quality for the funding body · Participate in quality assessment · Participate in ethical training activities · Participate in periodic meetings *Gross annual salary* of 39.758,76€ Duration of the contract is 3 years (depending on start date) indefinite. *Ideal start date*: 01/01/2024 *Application deadline:* 07/11/2023 *How to apply*: https://apply.interfolio.com/135337 Send your informal queries to Horacio Saggion horacio.saggion(a)upf.edu -- Professor Horacio Saggion Head of the Large Scale Text Understanding Systems Lab Full Professor / Chair in Computer Science and Artificial Intelligence TALN / DTIC Deputy Director for Recruitment Universitat Pompeu Fabra [image: https://twitter.com/h_saggion] [image: https://www.linkedin.com/in/horacio-saggion-1749b916]

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Assistant Professor in CL - University of British Columbia
by garrett.nicolai＠ubc.ca 02 Nov '23

02 Nov '23

The Linguistics department at the University of British Columbia is hiring a tenure-track research position to join the Master of Data Science - Computational Linguistics team. We encourage applications from any CL/NLP background. Please see the ad here: https://linguistics.ubc.ca/job-opportunities/asst-prof-job-posting/ Please note the short turnaround time - applications are due by December 8. Garrett Nicolai Department of Linguistics University of British Columbia

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18TH NOOJ INTERNATIONAL CONFERENCE 2024 | Call For Paper Now Open!
by THE 18TH NOOJ INTERNATIONAL CONFERENCE 2024 02 Nov '23

02 Nov '23

Dear all, Greetings from the 18th NooJ Conference https://nooj2024.x-23.org/ Organisation Board, nice to e-meet you! We are X23 Science in Society, a spin-off from X23 Innovation Bakery™, which is a research centre based in Italy. We have a long-record of working with migrant-entrepreneurs, using linguistic tools. We are honoured to be the organiser of the 18th Nooj Conference! Some exciting news! The 18th NooJ Conference will be held in Bergamo, Italy, from the 4th-7th of June, 2024! Check out the website for this year’s event https://nooj2024.x-23.org/ ! As some of you might have already attended in the past edition, the Nooj Conference is a great occasion for the scholars and researchers to discuss topics using NooJ, a versatile linguistic software for corpus processing, offering seamless integration with NLP applications. For this edition, we are excited to announce that the Call for Papers is officially opened, we sincerely invite you to participate in this. The topics of the call for paper: 📚NLP Societal applications and citizen science: Computational Socio-Linguistic (migration, geography, tourism, political discourse, cinema, social media, gender studies… 🗣️Linguistic Resources: Typography, Spelling, Syllabification, Phonemic and Prosodic Transcription, Morphology, Lexical Analysis, Local Syntax, Structural Syntax, Transformational Analysis, Paraphrase Generation, Semantic Annotations, Semantic Analysis. 🧠Digital Humanities: Corpus Linguistics, Discourse Analysis, Sentiment analysis, Literature Studies, Second-Language Teaching, Narrative content analysis, Corpus processing for the Social Sciences 💻Natural Language Processing Applications: Business Intelligence, Text Mining, Text Generation. Language Teaching Software, Automatic Paraphrasing, Machine Translation, etc. The following are essential guidelines to follow during the submission process. Abstracts for submission must be in English and include the author(s)' title, name, institution, and email. They should not exceed one page in length (between 300 and 600 words, excluding references) and should be submitted via Easy Chair. Additionally, all papers must be original and cannot be concurrently presented at another journal or conference. Here are Important Dates: * Deadline of Abstract submission: Feb 4 2024 * Notification of accept: March 10 2024 * Camera ready: March 24 2024 * Early bird registrations: From March 11 to March 31 2024 * Deadline for the other registrations: April 15 2024 * 18th Nooj Conference: June 4 to June 7 2024 * Selected papers submission: Sept 15 2024 Submit your application now: https://easychair.org/conferences/?conf=18nj For more information, visit our conference website: https://nooj2024.x-23.org/call-for-paper Subscribe to our Newsletters to stay updated with the Conference: LINK https://02d305c7.sibforms.com/serve/MUIFAKD0rCj_mL1XNOurnW8YlMZBwo4BBOgsPrt… More doubts or questions about the Call for Paper, please do not hesitate to send us an email at papers(a)nooj2024.org mailto:papers@nooj2024.org We look forward to having you for the 18th Nooj Conference! Best, 18th NooJ Conference Organisation, X23 Science in Society __________________ THE 18TH NOOJ INTERNATIONAL CONFERENCE 2024 JUN 4th to 7th, 2024 — Bergamo, Italy Managed by The Nooj Association Powered and hosted by X23 Srl

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Rogozhin Lectures 2023
by Ludmila Malahov 02 Nov '23

02 Nov '23

Dear Colleagues: On November 14, 2024 at 17.00 (GMT/UTC+2) - Vladimir Andrunachievici Institute of Mathematics and Computer Science at Moldova State University - Louisiana Scholars College at Northwestern State University, - Permion AI LLC, USA organize a presentation titled *Diagramatic Reasoning: From Peirce’s Existential Graphs to Artificial Intelligence *by Dr. *John F. Sowa* ( https://jfsowa.com/pubs/) from Permion AI LLC, USA. The talk will be held in a virtual format through Zoom platform. This talk is conducted as the 10th edition of *Rogozhin Lectures*. Everybody interested in (virtually) attending the presentation has to register at https://islai.org/rogozhin-lectures/ or https://docs.google.com/forms/d/1e6qkwNSjy0NNPJv4-DTPBAANzUjZrp36xQk7ND5SXl… no later than November 9, 2023. Those who have registered to attend the virtual presentation will receive a link on November 10, 2023. We are looking forward to meeting you virtually! Ludmila Malahov Rogozhin Lectures Series Coordinator

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Re: Assistant/associate professor in NLP - ITU Copenhagen
by Christian Hardmeier 02 Nov '23

02 Nov '23

Dear Ada and list, Thank you for your interest in our job posting. I am happy to clarify that candidates from any research area that deals with the computational processing of human language, including any technical, theoretical, social or ethical aspects, should feel welcome to apply. Anyone who is considering an application is warmly invited to get in touch with me directly to discuss how their profile would fit into our group. Best wishes, Christian From: Ada Wan <adawan919(a)gmail.com> Date: Thursday, 2 November 2023 at 13.43 To: Christian Hardmeier <chrha(a)itu.dk> Cc: "corpora(a)list.elra.info" <corpora(a)list.elra.info> Subject: Re: [Corpora-List] Assistant/associate professor in NLP - ITU Copenhagen You don't often get email from adawan919(a)gmail.com. Learn why this is important<https://aka.ms/LearnAboutSenderIdentification> Dear Christian What is NLP? E.g. some may have wondered why there is no "natural vision processing" with a fixed (non-byte) granularity that is generally too coarse for computing prescribed/"preferred", as in the case of "natural language processing" (NLP), an area where an unfortunate mix-up between processing and interpretation has occurred. Since you have a posting for a new position here, I thought that you may be able to clarify further. Thanks and best regards Ada On Wed, Nov 1, 2023 at 11:06 AM Christian Hardmeier via Corpora <corpora(a)list.elra.info<mailto:corpora@list.elra.info>> wrote: Assistant/Associate Professor in Natural Language Processing IT University of Copenhagen Application deadline: 26 November 2023 The computer science department at the IT University of Copenhagen is recruiting a new faculty member to join the natural language processing group. Candidates from any background and all areas of natural language processing are very welcome to apply! ITU is a small university with a motivated and engaged student community in Copenhagen, a city that consistently ranks as one of the most livable places in the world. If you have any questions, don’t hesitate to get in touch with me: chrha(a)itu.dk<mailto:chrha@itu.dk> More information and application link in the official job posting: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… Website of the NLP group at ITU: https://nlpnorth.github.io/ -- Christian Hardmeier, Associate Professor – https://christianhardmeier.rax.ch/ IT University of Copenhagen, Department of Computer Science _______________________________________________ Corpora mailing list -- corpora(a)list.elra.info<mailto:corpora@list.elra.info> https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to corpora-leave(a)list.elra.info<mailto:corpora-leave@list.elra.info>

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Assistant/associate professor in NLP - ITU Copenhagen
by Christian Hardmeier 01 Nov '23

01 Nov '23

Assistant/Associate Professor in Natural Language Processing IT University of Copenhagen Application deadline: 26 November 2023 The computer science department at the IT University of Copenhagen is recruiting a new faculty member to join the natural language processing group. Candidates from any background and all areas of natural language processing are very welcome to apply! ITU is a small university with a motivated and engaged student community in Copenhagen, a city that consistently ranks as one of the most livable places in the world. If you have any questions, don’t hesitate to get in touch with me: chrha(a)itu.dk<mailto:chrha@itu.dk> More information and application link in the official job posting: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… Website of the NLP group at ITU: https://nlpnorth.github.io/ -- Christian Hardmeier, Associate Professor – https://christianhardmeier.rax.ch/ IT University of Copenhagen, Department of Computer Science

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SIG Writing 2024: Deadline Extension
by Aleksandra MILETIC 01 Nov '23

01 Nov '23

SIG Writing 2024 Call for Conference Papers & Research School Participation The EARLI Special Interest Group Writing, Paris Nanterre University (France), Sorbonne Nouvelle University (France), and the University of Turku (Finland) invite proposals to the 20th biennial SIG Writing conference to be held at Paris Nanterre University, Nanterre, France, from 26-28 June 2024. Prior to the conference, from 24-25 June 2024, the Research School will be held. The conference theme for SIG Writing 2024 is ways2write. Writing is a ubiquitous social and professional practice in most parts of the world. It takes on diverse, increasingly mixed and heterogeneous forms, manifests itself over ever wider spans of life and activity, exploits more and more media and technologies, and is increasingly fluid. The source and its individual and collective characteristics (age, cognitive abilities, human/non-human...), the medium, the context and the production objectives, time and space—all give rise to a diversity of writings and ways of writing, raising numerous questions in an interdisciplinary field. While the conference traditionally hosts a diversity of topics and approaches, proposals within the ways2write theme are particularly welcome. More information and full calls for conference papers and Research School participation at the SIG WRITING 2024 website: https://sites.google.com/view/sig-writing-2024/ * Submission deadline *EXTENDED*: November 17, 2023 * Submission guidelines The aim of the conference is to promote interaction among researchers who are interested in understanding the cognitive, social, and developmental processes involved in writing, who are concerned with designing writing instruction in various educational settings, or who are engaged with exploring the functions of writing in different social and institutional contexts. The scope of the conference is broad, and we hope to draw together a wide range of researchers and professionals. CONFERENCE: Available presentation formats are Paper, Symposium, Poster, Roundtable, and Demonstration Session. The abstract should be 250-350 words (including any references). All proposals must be written in English and submitted using the online submission system: https://www.earli-eapril.org PhD students and early career researchers are invited to submit to and participate in the pre-conference Research School. RESEARCH SCHOOL: Available presentation formats are Paper Presentation, Poster or 30' Article Manuscript Discussion. The abstract should be 350 words (including any references). All proposals must be written in English and submitted using the online submission system: https://www.earli-eapril.org For any questions, please contact us at sigwriting24.paris(a)gmail.com You can also follow the updates on Twitter/X: @SIGWriting2024 Or on Facebook: SigWriting Paris ( https://www.facebook.com/profile.php?id=100091544465843) On behalf of the organizing committee, Aleksandra Miletić ---------- Aleksandra Miletić Post-doctoral researcher on the CorCoDial <https://blogs.helsinki.fi/yvesscherrer/corcodial-corpus-based-computational…> Project Language Technology Group, University of Helsinki

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Re: Lemmas and Lemmatization [was Re: NIF: NLP Interchange Format]
by Gilles Sérasset 01 Nov '23

01 Nov '23

Hi Ada, As these threads consists in a discussion rather than a set of scientific statements (the first one being motivated by responding to a stimuli, while the second consists in defining/motivating a scientific position that is supposed to stand aside of any specific discussion), I forbid you to use any of my writings made on the corpora list in any of your web sites. Of course, I still authorise corpora list to keep archives (as these are maintained along with the full discussion context). Regards, Gilles Sérasset, > On 31 Oct 2023, at 19:19, Ada Wan <adawan919(a)gmail.com> wrote: > > Dear all > > I am about to post CorporaList threads which I have responded to on my own website, as it seems some of my replies are not yet showing on the public website (https://list.elra.info/mailman3/hyperkitty/list/corpora@list.elra.info/ <https://list.elra.info/mailman3/hyperkitty/list/corpora@list.elra.info/>). > If any of you should have any objections to this (because you don't want your replies to be seen), please let me know asap. > > Thanks and best > Ada > > > On Mon, Oct 30, 2023 at 9:31 PM Ada Wan <adawan919(a)gmail.com <mailto:adawan919@gmail.com>> wrote: > [Disregard if not interested] > > Dear all > > Thanks for your emails. The issue of where the misunderstanding might lie is clearer to me now, esp. given Gilles' example with his niece. > (@Anil: perhaps you are right in your observations in a possible style change in my correspondences --- I may well have been running out of patience at this point (considering I have been in rebuttal mode since at least 2019 [1]?! So it's a good thing that morphology is coming to an end!). In the beginning, I had expected the professionals whom I expect to be experienced in "language"/data matters (and the subscribers of the CorporaList) to be the first to appreciate my results, but it turned out to be the other way around, it seems. Those who have been exposed to fewer "language tales" [2] can be quicker in getting it. But anyway, please allow me to explain again below.) > > Most importantly, in the niece example, there are 2 things that should be discerned from one another: > i. what the niece uttered [i.e. data/observation (do note also how the data is collected: recorded or transcribed?)], and > ii. what one's interpretation/analysis of her utterance is [i.e. interpretation/analysis of observation]. > > In "grammarese" formulation, the case in question is as follows: Gilles' niece conjugated an irregular verb with a regular verb conjugation pattern.[3] > > Gilles suspects that (linguistic) morphology exists (and/or is universal?) because the pattern of the niece's utterance resembled one of the patterns (sometimes formulated from "rules" [4]) often studied in literature on morphology. > > Re "she clearly showed me that her way of learning languages did not consisted in reading/listening to huge amounts of utterances ...": > even if the niece had only been exposed to 10 utterances, if 8 of which exhibit a certain pattern, and 2 of which are more irregular/outlier-like, chances of her applying habits that are in line with the pattern observed more often in the rarer/unobserved cases can be high --- and would you not agree that's rather reasonable? > There are or may be un-/subconscious *patterns*, sure. But I do not argue against these, for such patterns do not have to be formulated in terms of "stems"/"roots"/"affixes", and more importantly, most of these patterns surface more often in books than in real life anyway. So the fact that one believes that a morphological paradigm is to be formulated in a certain way is pretty much a matter of preference of a (group of) researcher(s). > > Re "but she was able to learn some word formation rules from very few examples": > what she "learned" might just be some patterns --- at least according to your/our analysis here. That is, she might not have yet had much exposure to "rules", but Gilles might have. (Hence his conviction of the reality of morphology may be stronger.) > > Re "In my humble opinion, this proves that morphology exists, if not in the LLM matrixes, at least in the human brain": > I don't disagree with how one's mind can be clouded by archaic ideals or theories. But shouldn't a better theory exist outside of the mind of a person or a group of scientists as well? > > If one accounts for text data in its entirety, i.e. without disregarding or adding in whitespaces, evaluate in bigger span (as mentioned in the rebuttal here [5]), the notion of morphology is actually irrelevant to a comprehensive study of (language) data. Wouldn't you agree? > With your plane and bird analogy: so you could claim that if you do insist on cherry-picking from data, shouldn't your analyses still matter? Well, if they don't generalize well, they may end up mattering to you only. > > Re "... (or issued from a colonialist point of view of Aves on the task at hand…) and asking them to renounce this oh so obsolete bad habit": > I suppose it depends on which side of history one would like to be on too. > > I understand that it can be much harder for those who have lived in a country where "language" activities (and/or the concept of "language") have been officially and explicitly supported/promoted. This "privilege" now puts many of us in a rather disadvantageous position in unlearning much. > > Re "ML based language models": > I don't know what you understand of these, but the logic behind such (e.g. a probabilistic processing/interpretation of sequences) is often not far from how "humans" are known to "process language(s)" --- which is why many modeling experiments can bridge "both spheres" (though I believe many experienced in modeling would buy less into this "human 'versus' machine" narrative). > > @Gilles: I am also curious what your takeaway is from Quine's "Word and Object" (e.g. at https://mitpress.mit.edu/9780262670012/word-and-object/ <https://mitpress.mit.edu/9780262670012/word-and-object/>) in relation to our conversation here. > > @Anil: the computational phenomenology is already in "Fairness in Representation" (note that the insights were obtained from a collection of many models, i.e. most of them are epi-phenomena). So I think what I have in mind is orthogonal to what you described. Crimes and other misconduct have also been around for millenia, are these things we want to keep? > That having been clarified, do you have other objections to my contributions? > > I hope I have addressed your concerns sufficiently. If not, please let me know. > > Thanks and best > Ada > > > [1] The results that ending up getting published in Fairness in Representation <https://openreview.net/forum?id=-llS6TiOew> (ICLR 2022) had been rejected about 5 times, those in "Statistical (Un-)typology" (even with "greedy" research incentives so to fit in) about another 5 times from May 2019 to April 2022, in addition to other attempts/withdrawals. Then all I have been dealing with is just retaliation. In fact, I just got some stuff stolen and had to get things reported to the police, so please pardon my delay in reply. > [2] At a point, I thought perhaps it'd be best to have no disciplines. Then I realized not all disciplines are like "language", "linguistics", or "structural linguistics". > That having been expressed, can having "no disciplines" be still a good thing? Possibly, but another debate, another time, perhaps. > [3] But let's bear in mind: what one'd consider a "regular verb" (vs "irregular verb") is nothing but some sequence/utterance seen/heard more frequently than others. > [4] esp. in the history of "transformational grammar" that was popular around the mid 20th century. "Grammar rules" might have been around for longer, but branding things as within the domain of "morphology" as a module of a bigger "structure"/"structural framework" of "linguistic analysis" is a matter that has become more popular only in the past half a century or so due to "transformational grammar" / "structural linguistics". > But please do note that even in "structural linguistics", many patterns are explained away in terms of (the ranking of) constraints (i.e. no "transformation"). There are no/few reasons to posit the notion of "deep structure(s)", from/through which, in the case of morphological analyses, "stems"/"roots" get to be held often as the bases of inflection. That is, aside from "grammar rules" taught in e.g. schools and those inside of researchers' mind, evidence for the existence of "rules" is actually rather little, if any. [N.B. this can be considered advanced for those who didn't have a theoretical background in Linguistics.] > [5] https://openreview.net/forum?id=-llS6TiOew <https://openreview.net/forum?id=-llS6TiOew> > > > > On Thu, Oct 26, 2023 at 6:05 PM Anil Singh <anil.phdcl(a)gmail.com <mailto:anil.phdcl@gmail.com>> wrote: > I have also been carefully reading the exchanges. Although I was planning not to add to this exchange, at this point I am tempted to reply. > > Ada's early emails were adding something to the discussion and debate, but at this point they are simply saying 'I am right, you are wrong', without giving any explanation or evidence. > > I was also thinking of the same kind of examples as given by Gilles. Till Ada provides some very good reasoning and evidence, it is hard for me to completely agree with her, although as I said earlier, I do agree with her on many, perhaps most of things. > > Ada, I sincerely respect your learning and competence. However, you said earlier you are proposing an alternative computational phenomenology. That would be really interesting. Won't it be better to first propose it and argue in more specific terms and with more convincing arguments and evidence that it is the right one, or at least 'more right' than the existing ones (there are more than one). Given that there is already Information Theory, it has to go beyond byte, which is an accidental unit of computation, and character, which is also not well-defined, sometimes even for one specific writing system. To give one such example, perhaps not the best one, I always thought of Indic script dependent vowel (maatraa) as a character, but I recently found that languages like Java and Python do not treat such written symbols as character, so when I try to get the length of an Indic-script string, the in-built string length functions give only the number of consonant symbols and independent vowels in the string. We got wrong results using these functions and I only accidentally discovered that this is the case. The reason, of course, is that these functions and programming languages treat such dependent vowels as diacritics, which is also correct in some ways. I did not realize this earlier because in India we often use a Latin script-based notation called WX for Indic scripts in NLP due to the encoding and input method related problems that I referred to in one of my earlier replies. The WX notation, however, does not distinguish between dependent and independent vowels and treats both of them as the same character, which is how most of us, if not all, think of them in India to the best of my knowledge. On the other hand, the consonant symbol modifier 'halant' is not used in WX, but is used in Indic-scripts and its presence might also cause disagreements about what the string length is. In other words, character as a unit does not work in your terms. In fact, who knows how many errors for Indic script text have made their way into computational results due to this simple fact. And perhaps they still do because it took me a long time to realize this, which at first led to consternation, because in text processing if you can't rely on the string length function, what can you rely on? > > As for phonemes, major ML researchers like Vincent Ng don't believe it to be a real unit of language. The argument is that we don't need phonemes for applications like speech recognition. > > If not byte and character, what are we left with in terms of computational phenomenology? At the very least there has to be such a well-argued and well-evidenced alternative in order to try to persuade others to agree to your views. I would be very much interested in thinking about such an alternative even if at present I don't think you are right about all your views. After all, to throw away millenia of work on language-science, very strong reasoning and evidence for an alternative is not an unrealistic expectation. > > On Thu, Oct 26, 2023 at 8:44 PM Gilles Sérasset via Corpora <corpora(a)list.elra.info <mailto:corpora@list.elra.info>> wrote: > Hi Ada, > > When my niece was 3 year old, she said to her little brother “Maman, elle venira plus tard…” (Mum will come back later, in “incorrect” French). > > She made a “mistake" here by using “venira” (a wrong future form for verb venir (to come)) instead of the “correct" “viendra”. It was wrong, but perfectly predictable using the most productive morphological rules of French future formation. > > She was 3 years old, so I doubt she was really understanding what morphology is, nevertheless, with this mistake, she clearly showed me that her way of learning languages did not consisted in reading/listening to huge amounts of utterances but she was able to learn some word formation rules from very few examples. And indeed, human is still able to perfectly learn complex things with very small explanation and/or very few example (something that is totally beyond ML based language models). > > In my humble opinion, this proves that morphology exists, if not in the LLM matrixes, at least in the human brain. Hence modelling such rules (and even using them to analyse or produce) is a valid approach, independently of any other (also valid) approaches. > > If I want to say it another way : > > There has been many scientific proofs that human will not be able to fly… And these proofs were valid under their own hypothesis. > > Indeed, planes do not flap their wings… they are using other ways to perform a task that was performed by birds. > > Nevertheless, I have never been the witness of any plane (or pilot) trying to convince birds that their way of flying is obsolete (or issued from a colonialist point of view of Aves on the task at hand…) and asking them to renounce this oh so obsolete bad habit. > > Regards, > > Gilles, > > _______________________________________________ > Corpora mailing list -- corpora(a)list.elra.info <mailto:corpora@list.elra.info> > https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ <https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/> > To unsubscribe send an email to corpora-leave(a)list.elra.info <mailto:corpora-leave@list.elra.info> > > > -- > - Anil

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Announcing CreoleVal
by Johannes Bjerva 31 Oct '23

31 Oct '23

We are proud to announce the release of CreoleVal - a collection of benchmarks for 28 Creole languages. The collection of datasets span tasks such as relation classification, machine comprehension, machine translation, named entity recognition, and use cases such as language modeling. We cover Haitian Creole, Bislama, Chavacano, Pitkern, Singlish, Tok Pisin, Papiamento, and others. We hope the NLP community will include this collection of datasets in ongoing & future evaluations of methods directed at low-resource languages. Not only that, we also hypothesise that CreoleVal will open the door for controlled experimentation with transfer learning methodology. This resource has been long in the making, and was made possible by a long list of collaborators. For a pre-print, see: https://arxiv.org/abs/2310.19567 For code and data, see: https://github.com/hclent/CreoleVal (Repository under construction)

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BCS Search Solutions 2023: Registration + Confirmed Speakers
by Ingo Frommholz 31 Oct '23

31 Oct '23

INNOVATIONS IN SEARCH AND INFORMATION RETRIEVAL - BCS SEARCH SOLUTIONS - LONDON, UK Search Solutions is the BCS Information Retrieval Specialist Group’s annual event focused on practitioner issues in the arena of search and information retrieval. It is a unique opportunity to bring together academic research and practitioner experience. The Search Solutions event consists of a Tutorial day and a Conference day, each of which has a separate registration. LOCATION Both the Tutorials and the Conference take place at the BCS London Headquarters in London, UK, Ground Floor, 25 Copthall Avenue EC2R 7BP. This is a 10 minute walk from Liverpool Street Station (Elizabeth Line and London Underground) and a 20 minute walk from London Bridge Station. Registration forms on Eventbrite Tutorials: https://www.eventbrite.co.uk/e/search-solutions-2023-tutorials-tickets-7392… Conference: https://www.eventbrite.co.uk/e/search-solutions-2023-conference-tickets-739… TUTORIALS Tutorial 1 November 21, 10am-2pm (half day) How Large Language Models Can Improve Your Search Project (Half-day) Alessandro Benedetti, Sease Ltd. Apache Lucene/Solr committer and PMC member and Director and R&D Software Engineer Tutorial 2 November 21, 10am-4.30pm (full day) Uncertainty Quantification for Text Classification (Full Day) Dell Zhang, Thomson Reuters Labs, London, UK. Murat Sensoy, Amazon Alexa AI, London, UK. Lin Gui, King’s College London, London UK Yulan He, King’s College London & Alan Turing Institute, London, UK. CONFERENCE PROGRAMME OUTLINE November 22, 2023 9.45am - 7pm The objective of the conference this year is to explore the implications and opportunities of AI-based technologies in enhancing the user experience in enterprise, e-commerce and systematic search. The conference marks the first anniversary of the launch of ChatGPT on 30 November 2022. 09.45 Introductions 09.55 Understanding the Dangers of using LLMs. Professor Julie Weeds, University of Sussex 10.30 Using AI tools for discovery Hong Zhou Wiley Scientific 11.00 Break 11.20 IR, AI and ‘search’ – Creating synergy Steve Zimmerman, Samy Ateia and Martin White consider the opportunities and the issues, with the assistance of the audience! 12.20 BCS Search Industry Awards – Introduction Tony Russell-Rose 12.30 Panel Session looking back at the morning presentations 13.00 Lunch 13.45 Pragmatic AI-powered Search – Keeping it Simple, not Stupid. Charlie Hull Open Source Connections 14.15 Retrieval-augmented text generation (RAG) for legal IR Grace Lee 14.45 Ontologies in the age of AI-based discovery Peter Winstanley 15.15 Break 15.50 Presentation of the BCS Search Industry Awards 16.00 New technologies for systematic reviews: are large language models really a gamechanger? James Thomas 16.30 Integrating ChatGPT into existing applications Paul Cleverley 17.00 Panel session – agreeing the take-aways from the conference 17.30 SS2023 Best Paper Award 17.45 Reception 19.00 Close For further details and enquiries, please contact irsg(a)bcs.org.uk. -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science ACM CIKM 2023 General Chair Head of Data, AI, Interaction, Retrieval and Language Group http://dairel.org Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Twitter: @iFromm | Mastodon: @ingo@idf.social PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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PhD position in TrustLLM project
by Marcel Bollmann 31 Oct '23

31 Oct '23

The NLP group at Linköping University, Sweden<https://www.ida.liu.se/divisions/aiics/nlp/>, is now hiring a PhD student for research on multilingual LLMs for lower-resourced languages! For this PhD position, you will work within the TrustLLM project, an EU-funded Horizon Europe project on developing open, trustworthy, and sustainable LLMs, initially targeting the Germanic languages. It involves consortium partners from Denmark, Germany, Iceland, The Netherlands, Norway, and Sweden. Specific research topics include: * tokenization and embedding alignment techniques * addressing grammatical correctness and bias in pre-training * benchmarking and evaluation You will also participate in the Graduate School in Computer Science (CUGS) at Linköping University. Your PhD supervisors will be Marcel Bollmann<https://marcel.bollmann.me/> and Marco Kuhlmann<https://liu.se/en/employee/marku61>. This PhD position is a fully-funded, full-time, salaried position with attractive employee benefits and pension contributions. For more information about the position and a link to the application system, please see https://www.ida.liu.se/divisions/aiics/nlp/phd-student-trustllm/ You are welcome to contact me or Marco for additional information. The application deadline is 2023-11-21. Best wishes, Marcel Bollmann -- Marcel Bollmann, Dr. phil. Associate Professor in Natural Language Processing Department of Computer and Information Science, Linköping University, Sweden www: https://marcel.bollmann.me/

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PhD student position at Univ Potsdam
by Manfred Stede 31 Oct '23

31 Oct '23

The Applied Computational Linguistics group at Potsdam University conducts research on different perspectives on discourse structure (coherence, coreference, etc.) and on applications of discourse processing, for example in argument mining and in collaborations with social sciences (educational, political science). See http://angcl.ling.uni-potsdam.de. The position to be filled is in a new DFG-funded project with partners in Computer Science (Halle-Wittenberg) as well as Literary Science and E-Research (Berlin). The goal is to implement a solution for text alignment in scenarios where an author writes different versions of the "same" text in different languages; i.e., where portions of the text in the other language can be changed, shortened, extended, or reordered. In collaboration with the team in Halle-Wittenberg, the successful candidate will conduct experiments on building alignments on word, phrase and sentence level. A central basis for these alignments will be measures of semantic similarity, for example by utilizing multilingual word embeddings. The position runs for three years and offers the possibility for obtaining a PhD. Salary is according to the Brandenburg TV-L salary scale (75%), see for instance https://zbb.brandenburg.de/sixcms/media.php/9/Tabelle%20TV-L_2022.pdf Candidates are expected to hold an MSc degree in Computational Linguistics or a related field, with experience in methods relevant to the project. Solid programming skills in Python are required, experience in working with (multilingual) corpora is a plus. Near-native knowledge of either English or German is required, and some knowledge of the other language is a plus. Please send your application before Nov 17th to the email below, consisting of a CV, a statement of research interests and a summary (or a sample chapter of) the MSc thesis; letters of reference may optionally be added. Inquiries and applications to: Prof. Manfred Stede, stede(a)uni-potsdam.de

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CfP - Deadline Approaching: PROPOR 2024 - 16th International Conference on Computational Processing of Portuguese
by Pablo Gamallo 30 Oct '23

30 Oct '23

******************************************************** PROPOR 2024: 16th International Conference on Computational Processing of Portuguese Universidade de Santiago de Compostela (Santiago de Compostela - Galiza) March 14th to 15th 2024 Call for Papers (Deadline approaching!) https://propor2024.citius.gal/ ******************************************************** *Important dates* * Full and short paper submission deadline: *06/11/2023 (23:59 GMT-3)* * Notification of paper acceptance or rejection: 07/12/2023 * Camera-ready papers due: TBA * Conference: March 14th - 15th, 2024 The International Conference on Computational Processing of Portuguese ( PROPOR), whose next edition will take place for the first time in Galicia, birthplace of the Portuguese language, is the main event in the area of natural language processing that is focused on theoretical and technological issues of written and spoken Portuguese and Galician (considered as a local variety of the former). The meeting has been a very rich forum for the exchange of ideas and partnerships for the research and industry communities dedicated to the automated processing of this language, promoting the development of methodologies, resources and projects that can be shared among researchers and practitioners in the field. We call for papers describing work on any topic related to computational language and speech processing of Portuguese/Galician by researchers in the industry or academia. Topics of interest include, but are not limited to: * Natural language processing tasks (e.g. parsing, word sense disambiguation, coreference resolution) * Natural language processing applications (e.g. question answering, subtitling, summarization, sentiment analysis) * Natural language generation * Information extraction and information retrieval * Speech technologies (e.g. spoken language generation, speech and speaker recognition, spoken language understanding) * Speech applications (e.g. spoken language interfaces, dialogue systems, speech-to-speech translation) * Resources, standardization and evaluation (e.g. corpora, ontologies, lexicons, grammars) * NLP-oriented linguistic description or theoretical analysis * Distributional semantics and language modeling * Portuguese language varieties and dialect processing (including the language varieties of Angola, Brazil, Cape Verde, East Timor, Galicia, Guinea-Bissau, Macau, Mozambique, Portugal, and Sao Tome and Principe) * Multilingual studies, methods, applications and resources including Portuguese/Galician PROPOR 2024 will be held at the University of Santiago de Compostela (Santiago de Compostela - Galicia, Spain) from March 14th to March 15th. PROPOR 2024 will be the 16th edition of the biennial PROPOR conference, hosted alternately in Brazil and in Europe (Portugal/Galicia). Past meetings were held in Lisbon, PT (1993); Curitiba, BR (1996); Porto Alegre, BR (1998); Évora, PT (1999); Atibaia, BR (2000); Faro, PT (2003); Itatiaia, BR (2006); Aveiro, PT (2008); Porto Alegre, BR (2010); Coimbra, PT (2012); São Carlos, BR (2014), Tomar, PT (2016), Canela, BR (2018), Évora, PT (2020), and Fortaleza, BR (2022). Submissions Submissions should describe original, unpublished work. Authors are invited to submit two kinds of papers: * Full papers – Reporting substantial and completed work, especially those that may contribute in a significant way to the advancement of the area. Wherever appropriate, concrete evaluation results should be included. Full papers may consist of up to 8 pages of content, plus unlimited pages of references. * Short papers – Reporting small, focused contributions such as ongoing work, position papers, potential ideas to be discussed, or negative results. Short papers may consist of up to 4 pages of content, plus unlimited pages of references. Both Full and Short papers will be published in the proceedings of the main conference. Each submission will be evaluated by at least three reviewers. As reviewing will be double-blind, submitted papers must be anonymized, that is, they should not contain the authors’ names and affiliations. Authors must avoid self-references that reveal identity, like, “We previously showed (Smith, 1991) …”. Instead, they should prefer citations such as “Smith (1991) previously showed …”. Separate author identification information will be required as part of the submission process. Submissions to PROPOR 2024 may not be made available online (e.g. via a preprint server), and may not be submitted for review elsewhere while being under review for this conference. Submissions should be written in English. At submission time, only PDF format is accepted. For the final versions, authors of accepted papers will be given 1 extra content page to take the reviews into account. Authors of accepted papers will be requested to send the source files for the production of the proceedings. All submitted papers must conform to the official ACL style guidelines. ACL provides style files for LaTeX and Microsoft Word that meet these requirements. They can be found at: * LaTeX styelesheet * MS Word stylesheet Paper should be submitted here in the following URL: https://easychair.org/my/conference?conf=propor2024 Important dates * Full and short paper submission deadline: 06/11/2023 (23:59 GMT-3) * Notification of paper acceptance or rejection: 07/12/2023 * Camera-ready papers due: TBA * Conference: March 14th - 15th, 2024 Publication The proceedings of PROPOR 2024 will be published by ACL as a volume in ACL Anthology (https://aclanthology.org/ ). They will be available online. To ensure publication, at least one author of each accepted paper must complete an adequate registration for PROPOR 2024 by the early registration deadline. Kindest regards, António Teixeira, Livy Real & Marcos Garcia PROPOR 2024 Program Chairs

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Core metadata scheme for learner corpora - feedback needed!
by Magali Paquot 30 Oct '23

30 Oct '23

Dear colleagues, Last month, we shared the result of our collaborative work on a core metadata scheme for learner corpora with LCR2022 participants. Our proposal builds on Granger and Paquot (2017)'s first attempt to design such a scheme and during our presentation, we explained the rationale for expanding on the initial proposal and discussed selected aspects of the revised scheme. Our proposal is available at https://docs.google.com/spreadsheets/d/1-RbX5iUCUtCBkZU9Rfk-kv-Vzc--F-eUW2O…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…> We firmly believe that our efforts to develop a core metadata scheme for learner corpora will only be successful to the extent that (1) the LCR community is given the opportunity to engage with our work in various ways (provide feedback on the general structure of the scheme, the list of variables that we identified as core and their operationalization; test the metadata on other learner corpora; use the scheme to start a new corpus compilation, etc.) and (2) the core metadata scheme is the result of truly collaborative work. As mentioned at LCR2022, we will be collecting feedback on the metadata scheme until the end of October. The online feedback form is available at: https://docs.google.com/document/d/1NeDUuxGJlPSJI9wHVA1xgGM-aV8jXTa8Qlb45K-…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…> We'd like to thank all the colleagues who already got back to us (at LCR2022, by email or via the online form). We also thank them for their appreciation and enthusiasm for our work! We'd also like to encourage more colleagues (and particularly those of you who have experience in learner corpus compilation) to provide feedback! We need help in finalizing the core metadata scheme to make sure that it can be applied in all learner compilation contexts. In short, we need you to make sure the scheme meets the needs of the LCR community at large. With very best wishes, Magali Paquot (also on behalf of Alexander König, Jennifer-Carmen Frey, and Egon W. Stemle) Reference Granger, S. & M. Paquot (2017). Towards standardization of metadata for L2 corpora. Invited talk at the CLARIN workshop on Interoperability of Second Language Resources and Tools, 6-8 December 2017, University of Gothenburg, Sweden. Dr. Magali Paquot Centre for English Corpus Linguistics Institut Langage et Communication UCLouvain https://perso.uclouvain.be/magali.paquot/

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NIF & POWLA docuentation
by Hugh Paterson III 28 Oct '23

28 Oct '23

Greetings, I must be looking in all the wrong places, or under the information suppression regime of Google in the USA --- ;-) Is there any HTML presented documentation of NIF or POWLA. I mean for human readability. FaBiO has, in my opinion an excellent HTML (human readable) introduction to the ontology. Others I have found very readable are Dublin Core and LRMI (links below). Any pointers would be much appreciated. Note: I do find the POWLA technical document: https://raw.githubusercontent.com/acoli-repo/powla/main/owl/powla.owl and the NIF document: https://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core/nif-core.ht… Are these the extent of the documentation? By the way, is there an NIF-periphery? There is an NIF-core. Why not just simply NIF? Kind regards, Hugh https://sparontologies.github.io/fabio/current/fabio.html https://www.dublincore.org/specifications/dublin-core/dcmi-terms/ https://www.dublincore.org/specifications/lrmi/lrmi_terms/2022-06-14/

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Release of UCLouvain Error Editor Version 2
by Sylviane Granger 27 Oct '23

27 Oct '23

UCLouvain Error Editor Version 2 (UCLEEv2) Now Available! We are very pleased to announce that Version 2 of the UCLouvain Error Editor (UCLEEv2) has just been released under a Creative Commons Licence (CC BY-NC-ND 4.0). The program can be downloaded from UCLouvain’s Open Educational Resources platform using the following link: http://hdl.handle.net/20.500.12279/968 The software, which was developed at the Centre for English Corpus Linguistics (CECL) (Université catholique de Louvain, Belgium), aims to facilitate the insertion of error tags and corrections into learner texts, as well as their subsequent processing. It comes with the following functions: * Tagset selection * Menu-driven tag insertion * Tag consistency checking * Concordancing * Error statistics * Automatic exercise generator. By default UCLEEv2 uses the freely available tagset described in the Louvain Error Tagging Manual Version 2.0<https://cdn.uclouvain.be/groups/cms-editors-cecl/cecl-papers/Granger%20et%2…> (Granger, Swallow & Thewissen 2022), but users can also design their own tagset and work with it in UCLEEv2. The initial version of the tagset was developed to tag the first version of the International Corpus of Learner English (ICLE) (Granger et al. 2002) and further refined in the context of the two subsequent versions of the ICLE (Granger et al. 2009 and 2020). The various versions have been used in many other learner corpus projects internationally. UCLEEv2 includes a built-in converter which allows users to work on texts tagged with previous versions of UCLEE. The program is accompanied by a detailed user guide<https://cdn.uclouvain.be/groups/cms-editors-cecl/cecl-papers/UCLEE%20user%2…> (Granger, Swallow & Thewissen 2023). We hope that the program will prove useful to researchers interested in assessing the accuracy of L2 writing, investigating errors produced by specific learner groups and designing materials focused on their attested difficulties. Feedback welcome! Sylviane Granger, Helen Swallow and Jennifer Thewissen

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Re: [External] Re: NIF: NLP Interchange Format
by Bilgin, Orhan (Postgraduate Researcher) 26 Oct '23

26 Oct '23

Dear Ada, I agree that lemmatisation is a construct and is not a universal method for linguistic analyses, but I don't understand why it is imperative that I wean myself from using lemmas. What is it that restricts my freedom to invent the lemma (a non-universal construct) AĞAÇ-, for example, to refer to the one and only "meaningful thing" that is common to the very many (theoretically infinite, practically probably around 10,000) strings including ağaç, ağacı, ağaca, ağaçlar, ağacımızdaki, ağaçlandırılabilmesinden, ağaçsızlaşmasını, etc. etc.? How (and why) am I supposed to talk about that very large set without using a label for it? Best, Orhan Bilgin On 17 Oct 2023 18:36, Ada Wan via Corpora <corpora(a)list.elra.info> wrote: This email originated outside the University. Check before clicking links or attachments. Dear Christian Re your PS: one doesn't need to debate the use/future of lemmatization, though I'd welcome such as part of scholarship. For those experienced in matters in/of Linguistics, it should be clear that lemmatization was simply a cconstruct, a entry-level philological exercise (esp. for those from Computer Science with less of a background in Linguistics and language(s)). It has been sad that some have picked up the habit of using lemmatization as a heuristic (though for what, specifically?) and might have become, apparently, too addicted to it to let it go. It is imperative that one weans themselves from such habit. Methods for linguistic morphology, e.g. (morphological) parsing or stemming, are not a universal decomposition scheme, nor a universal method for language/linguistic analyses. Also important is to bear in mind is that neither linguistic morphology nor lemmas/lemmata doesn't/don't have that long of a history. Thanks for being open-minded enough to read this far. Best Ada

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[CFP] for SIGIR Forum - December 2023 Edition (Deadline - Nov 13)
by Tirthankar Ghosal 26 Oct '23

26 Oct '23

Dear Colleague, We invite you to submit your contribution to the upcoming December 2023 Edition of the SIGIR Forum, the official newsletter of the ACM Special Interest Group on Information Retrieval (SIGIR). The SIGIR Forum consists of two issues (June, December). It serves as a medium for disseminating general information and opinions on matters of interest to the IR community, conference and workshop reports, papers and book reviews, and Ph.D. dissertation abstracts. *** Call for Contributions for the December 2023 issue *** We invite contributions to the following categories, including: - Reports of IR-related conferences and workshops: Reports from the chairpersons of IR-related workshops (such as the satellite workshops of SIGIR, JCDL, or CIKM, or other workshops such as NTCIR, INEX) or IR-related conferences other than SIGIR (such as ECIR, HLT, CHIIR, SPIRE, or TREC); - Papers from IR-related invited talks which are not published in full in the relevant conference proceedings; - Papers describing new public infrastructures for IR research, such as in-depth descriptions of newly available test collections, newly available open-source or public domain IR software of particular relevance, new evaluation campaigns, etc.; - Papers about funding initiatives, industry trends, connections between research and industry, legal issues that are of potential interest to the IR community at large; - Any paper that, while of general interest to the IR community, is non-technical, and because of this would be unsuitable for publication in technical publishing forums such as the SIGIR Annual Conference; - Book reviews, bibliographies of general interest to the IR community; - Abstracts of recently published Ph.D. theses of interest to the general IR community. Note: Unless specifically stated, contents of the SIGIR Forum do not represent the official position of SIGIR or ACM. Contributions to the Forum are unrefereed papers unless otherwise indicated. The editorial board may desk-reject papers if they are out of scope. From June 2020 onwards, the SIGIR Forum newsletter is continuing only online. *** Important dates for the June 2023 Edition *** *- 13 November 2023: Deadline for contributions* - December 2023: Online publication *** Submission Instructions *** Kindly see http://sigir.org/forum/ for details on previous issues, template, and submission instructions and checklist. For inquiries about contributions, please contact the editors at editors_SIGIR(a)acm.org. Tirthankar Ghosal (Oak Ridge National Laboratory, US) Josiane Mothe (IRIT, Univ. de Toulouse) Julián Urbano (Delft University of Technology) -- +++++++++++++++++++++++++++++++++++ *Tirthankar Ghosal* Scientist National Center for Computational Sciences (NCCS) Oak Ridge National Laboratory, United States ++++++++++++++++++++++++++++++++++++

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Edge Hill Corpus Research Group, Thursday 9 November 2023
by Costas Gabrielatos 26 Oct '23

26 Oct '23

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Thursday 9 November 2023, 2-3 pm (UK time). Topics: Discourse-Oriented Corpus Studies, Immigration Speaker: Katia Adimora (Edge Hill University, UK) Title: Towards more positive portrayals of Mexican immigration/immigrants in the American and Mexican press Abstract: Various studies (e.g., Galindo Gómez, 2019; Taylor, 2009; Gabrielatos and Baker, 2008) have explored press attitudes towards immigration/ immigrants in different countries. To analyse the attitudes towards Mexican immigration/immigrants in the American and Mexican press, two specialised corpora of 30 million words were created. The American corpus includes more than 12,000 articles from six American newspapers: The New York Times, The Washington Post, USA Today, Los Angeles Times, The Arizona Republic and Chicago Tribune. The corpus articles were published between 16 June 2015, which marked the start of Trump's presidential campaign, and 20 January 2021, the date of Biden's presidential inauguration. The Mexican corpus includes more than 20,000 articles from six Mexican newspapers, published during Trump's era: El Universal, Elimparcial.com, Reforma, El Norte, Lacronica.com and Mural. Even though the negative discourse prosodies seem to dominate newspaper discourses, this study argues that the attitudes towards Mexican immigration/immigrants in American and, especially, in Mexican newspapers are not as negative as expected. The results show that two-third (66%) of the instances in American corpus newspapers and more than three quarters (78%) of the instances in Mexican corpus newspapers express a positive perspective. However, among the most frequent negative attitudes in American and Mexican corpus newspapers is the description of immigrants as criminals (20% and 18%). The diachronic frequency analysis of the attitudes towards 'immigration' and 'immigrant(s)' shows correlations between socio-political events and press discourses, which might contribute to public opinion about Mexican immigration/immigrants. For instance, Trump's family separation policy might have ignited empathy towards immigrants in the corpus newspapers. You can register here: https://store.edgehill.ac.uk/conferences-and-events/conferences/events/edge… The EHU CRG programme for 2023-24 is here: https://sites.edgehill.ac.uk/crg/next ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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Webminar by Emily M. Bender (University of Washington)
by HiTZ zentroa 26 Oct '23

26 Oct '23

**** We apologize for the multiple copies of this email. In case you are already registered to the next webinar, you do not need to register again. **** Dear coleague, We are happy to announce the next webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). You can check the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars Next webinar: * *Speaker*: Emily M. Bender (University of Washington) * *Title*: Meaning making with artificial interlocutors and risks of language technology * *Date*: Nov 2, 2023, 16:00 CET * *Summary*: Humans make sense of language in context, bringing to bear their own understanding of the world including their model of their interlocutor's understanding of the world. In this talk, I will explore various potential risks that arise when we as humans bring this sense-making capacity to interactions with artificial interlocutors. That is, I will ask what happens in conversations where one party has no (or extremely limited) access to meaning and all of the interpretative work rests with the other, and briefly explore what this entails for the design of language technology. * *Bio*: Emily M. Bender is a Professor of Linguistics and an Adjunct Professor in the School of Computer Science and the Information School at the University of Washington, where she has been on the faculty since 2003. Her research interests include multilingual grammar engineering, computational semantics, and the societal impacts of language technology. In 2022 she was elected as a Fellow of the American Association for the Advancement of Science (AAAS). * *Upcoming webinars: * Heng Ji (February 1, 2024) * Smaranda Muresan (March 7, 2024) * Ralf Schlüter (May 2, 2024) * Marco Baroni (June 6, 2024) Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa

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SPECIAL INTEREST GROUP: NLP & LLM SECURITY
by Leon Derczynski 26 Oct '23

26 Oct '23

https://sig.llmsecurity.net/ We're proud to announce a new research special interest group, SIGSEC, to cover work on LLM and NLP security. SIGSEC is part of the Association for Computational Linguistics (www.aclweb.org). We host regular talks on NLP & LLM Security, a mailing list for people interested in NLP & LLM security, and an annual research workshop. The ACL Special Group on NLP Security exists to: * provide infrastructure and community for those many ACL members working in NLP Security; * establish a serious research body that represents NLP and ACL interests in the burgeoning field of LLM and NLP security; and * bridge the Information Security and Computational Linguistics communities, which is a link already actively being pursued by the Information Security community. Membership is free, and there's an exciting talks series. The video links are posted on https://sig.llmsecurity.net/talks/. We start with: * Thursday November 2nd, 10.00 ET / 15.00 CET - Text Embeddings Reveal (Almost) As Much As Text - John X. Morris * Thursday November 9th, 11.00 ET / 17.00 CET - LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games - Sahar Abdelnabi * Thursday November 23rd, 11.00 ET / 17.00 CET - Privacy Side Channels in Machine Learning Systems - Edoardo Debenedetti All talks present cutting-edge research on LLM security vulnerabilities and assessment methods. Join us here! https://sig.llmsecurity.net/join/ We look forward to welcoming you. SIGSEC President: Leon Derczynski, ITU Copenhagen / NVIDIA Corp SIGSEC Secretary: Muhao Chen, University of Southern California SIGSEC Expert Advisor: Jekaterina Novikova, AI Risk and Vulnerability Alliance / Cambridge Cognition

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DEADLINE EXTENSION RATIO-24: 1st Intern. Conference on Robust Argumentation Machines, June 5th-7th, 2024, Bielefeld, Germany
by Anette Frank 26 Oct '23

26 Oct '23

*Final CFP (EXTENDED DEADLINE) for RATIO-24: The 1st International Conference on Robust Argumentation Machines (RATIO-24) will take place from June 5th-7th, 2024, in Bielefeld, Germany. * https://ratio-conference.net <https://ratio-conference.net> In recent years, we have witnessed significant advances in our ability to develop approaches that support the automated analysis, summarization, aggregation, retrieval and ranking of arguments exchanged “in the wild” at large scale. By "in the wild" we mean arguments exchanged on the web in debate portals or other online formats where users share opinions and viewpoints on topics relevant to them. Argument analysis methods have indeed reached a level of maturity and robustness that make them applicable to the analysis of real online debates, to find the main arguments exchanged, to summarize and group arguments, or even to automatically generate arguments to present different viewpoints and perspectives. We call for submissions of original research work on the following topics: * automatic semantic analysis of arguments, including tasks such as stance detection, keypoint identification, attack/support classification, etc. * analysis of arguments in discourse and dialogue * automatic synthesis and generation of arguments * summarization of arguments * argument retrieval * methods for predicting argument quality * ranking of arguments according to, e.g., quality * methods for rephrasing and repurposing arguments * inferring the frame, viewpoint or perspective of an argument * common sense knowledge in the automated analysis of arguments * scalable reasoning methods for arguments * applications of argument analysis in domains such as political discourse, law, science, education, finance, social sciences, etc. Papers will be peer-reviewed and published by Springer in the LNCS series. Two types of papers will be accepted: * Long Papers(up to 15 pages including references): Description of substantive and original research. * Short Papers(up to 8 pages including references): Description of work in progress or original research contribution of limited scope. Papers should be submitted via Easychair: https://easychair.org/conferences/?conf=ratio24 <https://easychair.org/conferences/?conf=ratio24> Important dates (NOTE THE EXTENDED DEADLINES) Abstract submission deadline: *November 10th, 2023* Full paper submission deadline: *November 24th 2023* Notification of Acceptance: *February 2nd, 2024* Camera-ready version: *March 1st, 2024* Conference Chairs: Philipp Cimiano (CITEC, Bielefeld University) Anette Frank (University of Heidelberg) Michael Kohlhase (University of Erlangen-Nürnberg) Benno Stein (Bauhaus University Weimar) Jürgen Ziegler (University Duisburg - Essen) Invited Speakers: Elena Cabrio (Université Côte d’Azur, Inria <http://www.unice.fr/>) Yufang Hou (IBM Research Europe) Henning Wachsmuth (Institute for Artificial Intelligence, Leibniz University of Hannover) Venue: The conference will be held in Bielefeld, Germany at the Cognitive Interaction Technology Center (CITEC). All questions about submissions should be emailed to Philipp Cimiano: cimiano(a)cit-ec.uni.bielefeld.de -- Prof. Dr. Anette Frankhttp://www.cl.uni-heidelberg.de/~frank Computational Linguistics Department email:frank@cl.uni-heidelberg.de University of Heidelberg phone: +49-(0)6221/54-3247 Im Neuenheimer Feld 325 secr: +49-(0)6221/54-3245 69120 Heidelberg, Germany fax: +49-(0)6221/54-3242

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1st Call for abstracts - COST Action CA21167 UniDive
by johanna monti 26 Oct '23

26 Oct '23

Call for abstracts COST Action CA21167 UniDive 2nd general meeting, University of Naples L’Orientale, Italy 7-9 February 2024 UniDive (https://www.cost.eu/actions/CA21167/) is a COST action, i.e. a scientific network, dedicated to universality, diversity and idiosyncrasy in language technology. It is structured around 4 Working Groups: - WG1: Corpus annotation - WG2: Lexicon-corpus interface - WG3: Multilingual and cross-lingual language technology - WG4: Quantifying and promoting diversity The second general meeting of the action will take place on February 7-9, 2024 at the University of Naples L’Orientale in Italy. We invite UniDive WG members <https://www.cost.eu/actions/CA21167/#tabs+Name:Working%20Groups%20and%20Mem…> to submit abstract proposals related to the scientific program of the WGs. Proposals may describe diverse types of contributions, according to 3 different tracks: - Planned work - Work in progress - Complete work, also previously published A proposal should be anonymous, written in English and submitted in pdf only. It should include (on the title page) the list of the relevant WGs. It should not exceed 2 pages, including figures and tables (bibliographic references may go beyond the 2-page limit). If linguistic examples from languages other than English are included, those should be glossed and translated into English, and an extra half page is allowed for this purpose. For the sake of uniformity and easing the reviewers’ effort, we encourage authors to use the following Overleaf Latex template: https://www.overleaf.com/read/yqbpxcbjmjjw Other formats (not necessarily Latex-based) can also be used, provided that they conform to the following specifications: A4 paper, 11pt font, 1in margins. The submission link will be announced soon. The reviewing process is double-blind. The selection of proposals will be done by UniDive Program Committee according to the following criteria: - relevance to UniDive and the work program of its Working Groups (see pp. 18-20 of the Memorandum of Understanding <https://e-services.cost.eu/files/domain_files/CA/Action_CA21167/mou/CA21167…> ), - clarity - diversity of the languages covered by the workshop program The selected proposals will be presented at the 2nd UniDive general meeting as posters and/or oral presentations. At least one author per selected proposal will be reimbursed for their travel and stay. Important dates - 26 October 2023, Call for abstracts - 24 November 2023, Submission deadline - 15 December 2023, notification of acceptance - 20 December 2023, communication of the names of the presenters - 12 January 2024, Final versions of abstracts - 7-9 February 2024, UniDive 2nd general meeting The time zone for all deadlines is Anywhere on Earth (UTC-12). Due to the tight schedule, no extension of the submission deadline is foreseen. Johanna Monti Third Mission Delegate Full Professor in Foreign Languages Teaching Specialised Translation MT and CAT tools, Computational Linguistics Chief Scientist of the UNIOR NLP Research Group Department of Literary, Linguistic and Comparative Studies University of Naples "L'Orientale" Via Duomo, 219 80138 Napoli tel. +39 081 6909913 http://docenti.unior.it/index2.php?user_id=jmonti&content_id_start=1 *Linkedin*: https://www.linkedin.com/in/johanna-monti-03553310 *UNIOR NLP Research Group*: http://docenti.unior.it/index2.php?content_id=26056&content_id_start=1 *Skype*: johanna5962 *Twitter*: @selena245 Monti J. (2019), Dalla Zairja alla traduzione automatica - Riflessioni sulla traduzione nell'era digitale, Napoli: Loffredo Editore. Mitkov, R., Monti, J., Pastor, G. C., & Seretan, V. (Eds.). (2018). *Multiword units in machine translation and translation technology*(Vol. 341). John Benjamins Publishing Company. (https://benjamins.com/catalog/cilt.341) ************************************************** *Firma per destinare il tuo 5xmille all’Università L’Orientale e aiuta così i nostri studenti a fare un’esperienza di studio o tirocinio all’estero. Indica il C.F. 00297640633 nel riquadro* *“Finanziamento della ricerca scientifica e della Università”*

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[CfP] The Sixth International and Interdisciplinary Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT) will be held in Amsterdam, the Netherlands, on 2-4 May 2024.
by Johannes B. Gruber 26 Oct '23

26 Oct '23

Dear colleagues, COMPTEXT is an international community of quantitative text analysis and computational social science scholars in political science, international relations and beyond. COMPTEXT 2024 in Amsterdam follows in the footsteps of previous conferences in Budapest (2018), Tokyo (2019) and Innsbruck (online, 2020), Dublin (2022), and Glasgow (2023). COMPTEXT conferences offer ample opportunities to network with computational scholars, to exchange technological knowledge of computational methods, and to obtain useful feedback on ongoing research. For COMPTEXT 2024 in Amsterdam we are seeking paper submissions that: - rely on image, video, text or other digital trace data to study social and political phenomena broadly construed - propose or evaluate new computational methods or tools - seek to make contributions at the intersection of social science and computer science We accept both substantive and methodological papers for presentation: substantive papers may be on any studies in social sciences or humanities that utilize computational methods; methodological papers may describe new computational methods, tools and approaches. Note that conference proceeding will not be published, as the conference format follows social science practices. In keeping with our tradition, ahead of the conference a series of methods training tutorials will be held for registered participants. Courses will be offered for both beginner and advanced level participants. *Submission of Paper Abstracts:* Abstracts of max. 250 words and three substantive and/or methods-related keywords, should be submitted by *Wednesday 20 December 2023*. Notifications of acceptance will be sent by *16 February, 2024*. The registration deadline is *15 March, 2024*. Please submit your paper at https://forms.gle/VrzhEzJEcTNdM3RN9 Please be advised that a conference fee will be charged for participants with accepted papers. The COMPTEXT 2024 Organising Committee consists of: - Mariken A.C.G. van der Velden (Vrije Universiteit Amsterdam) - Roan Buma (Vrije Universiteit Amsterdam) - Alona O. Dolinsky (Vrije Universiteit Amsterdam) - Johannes Gruber (Universiteit van Amsterdam) - Kasper Welbers (Vrije Universiteit Amsterdam) - Miklós Sebők (Centre for Social Sciences, Budapest) *Equality, Diversion, and Inclusion:* COMPTEXT is committed to creating an inclusive conference where diversity is celebrated, and everyone is afforded equality of opportunity. We welcome applications from everyone, including those who identify with any of the protected characteristics that are set out in VU’s Equality, Diversity and Inclusion policy (https://vu.nl/en/about-vu/more-about/diversity). We especially encourage scholars from traditionally underrepresented groups, female scholars, and early-career researchers to apply. For more information, please visit our website: http://www.comptextconference.org/ Questions related to COMPTEXT Amsterdam 2024 should be directed to comptext2024(a)gmail.com. Best regards, The Organizers

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Re: [External] Re: NIF: NLP Interchange Format
by Bilgin, Orhan (Postgraduate Researcher) 26 Oct '23

26 Oct '23

Hi Ada, Thank you for your reply. I don't think it is possible to follow your advice to wean ourselves of the concept of a lemma and at the same time think of "a verb that can be conjugated", because that is precisely an example of what I would call a lemma. I never claimed that anything exists beyond the reality of my mind. I only asked why I am not allowed to talk about things that can be conjugated / inflected etc. and to use the word "lemma" to refer to those things. You haven't answered that question. Best, Orhan On 18 Oct 2023 17:49, Ada Wan <adawan919(a)gmail.com> wrote: [To those who do not have shared interests on issues that pertain to Corpora-List matters, such as data/corpora and their handling which includes but is not limited to linguistic/NLP theories/methods (and the validity thereof): please disregard.] Dear Orhan Thanks for your interests in this discussion. I think it is high time that our community comes to a critical (re-)examination of (linguistic) morphology (and to address issues concerning reinterpretation and transition). First of all, allow me to put my traditional grammarian hat on to get to your question more directly. You brought up an example of a morphological paradigm. Now, as linguists or language professionals, we know that language is (re-)productive in nature. So, if you don't mind, we can do a thought experiment and go through this dialectically (pls note that I only check my emails about once a day on weekdays, however). 1. Let's think of a verb that does not yet exist (in any particular language(s) that you can think of or that you are used to). Would you mind conjugating it for me? How many patterns would you have? And what would the forms be like? 2. Where did you get the patterns/paradigm from? If you were able to come up with a "full paradigm" (whatever that should refer to (?) --- but let's suppose, you have 6 forms (as per some textbook paradigms from some "Indo-European languages" --- 1st/2nd/3rd person in sg/pl), you surely haven't seen any of these forms combined with the verb before, have you? So where is your evidence that these forms exist in reality beyond that of your mind? And if such "perfect/ideal paradigm" exists only in your mind (and minds of some of your friends as well), how do you justify that morphological paradigma (the form/"structure"/pattern) are a necessary or intrinsic part of language (may these be of any particular language (which "one"?) or or language in general)? Wouldn't morphology as well as the perpetual construction and reconstruction of morphological patterns be a self-fulfilling prophecy only? And how often do we impose our conceptual/perceptual habits/categories upon whatever "new" that we encounter? 3. If, however, you were not able to construct a "full paradigm" or any part thereof at all, or you claim you were not able to think of a hypothetical verb either, because to you morphology is solely based on what has been written and analyzed beforehand/historically, then what is there to claim about morphological analyses? Not only does such practice not generalize, but it would also just apply to calcified segments analyzed/interpreted in a certain way as part of philological pursuits in the past. One should bear in mind that philological methods can progress and update as well. There are no limits as to how one can *use* (or some might even claim *define* here) "language", including how various modalities can combine/fuse with each other. Meaning has no fixed boundaries. When it comes to language or meaning, there is no "completeness" to "speak of" or to serve as basis of any science/study. And there are no fixed demarcations between any "particular languages" either. Other perspectives on (the shortcomings of) morphology and "words" can be found on my rebuttal page here: https://openreview.net/forum?id=-llS6TiOew. Please also read the references cited therein. I look forward to your reply, comments/remarks, or questions. (Actually, the floor can also be opened to anyone who would like to join.) Thank you and best Ada

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Shared hosting of LLMs for research?
by Amanda Stent 24 Oct '23

24 Oct '23

So, everyone wants to host their own (copy of a) large language model (LLM), but many academic institutions can't spin up multiple LLMs simultaneously, in perpetuity, nor do I believe the Scientific Funding Agencies in each country would want to pay for everyone to get a GPU cluster just to host 500+ copies of tomorrow's version of LLAMA-2(ish). Are you aware of any effort proposing or planning to host LLMs for use by researchers in some shared infrastructure? After all, hosting the LLM costs the same per hour whether 1, 3 or 20 people are calling it, and at most academic institutions usage would be a little bursty. Best, Amanda Stent -- (they/she) Director, Davis Institute for AI Professor, Computer Science Colby College Follow the Davis Institute for AI here <https://web.colby.edu/davisinstitute/> Want to meet? Calendly - Amanda Stent <https://calendly.com/amandastentcolby>

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Say IT again: International Workshop on Interpreting Technologies
by Dola Mullage, Damith P. 24 Oct '23

24 Oct '23

We are pleased to announce "Say IT again: International Workshop on Interpreting Technologies" (SAY-IT AGAIN 2023), which will take place on the 2nd and 3rd of November 2023. Like our previous edition, SAY-IT AGAIN 2023 will also be hybrid, which means that both attendees and participants will have the chance to choose whether they want to attend the workshop ON SITE (at the University of Malaga, Spain) or fully ONLINE, Limited spots! This workshop seeks to act as a meeting point for researchers working in interpreting- related technologies (CAI tools, machine interpreting, speech to text/speech translation, remote interpreting, etc.); practicing tech-savvy interpreters; companies and freelancers providing services in interpreting as well as companies developing tools for interpreters. In addition to the short papers for presentation, SAY-IT AGAIN will feature invited talks by prominent experts as well as presentations and panels hosted by practitioners. You can see the full provisional programme here: https://lexytrad.es/SAYITAGAIN2023/wp-content/uploads/2023/10/PROGRAMME_SAY… Registration is available through the following link (until full capacity): https://lexytrad.es/SAYITAGAIN2023/registration/ For further information, you can access SAY-IT AGAIN 2023’s official website: https://lexytrad.es/SAYITAGAIN2023/ Thank you so much in advance for disseminating this event among your colleagues and students who might be interested in the latest advances in field of interpreting technologies.

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First Call for Papers: The 18th Linguistic Annotation Workshop
by Sophie Henning 24 Oct '23

24 Oct '23

***First Call for Papers*** **Workshop Description** LAW-XVIII will be the 18th annual meeting endorsed by the ACL Special Interest Group for Annotation (SIGANN). It will take place in March 2024 at EACL in St. Julians, Malta. Linguistic annotation of natural language corpora is the backbone of supervised methods in both statistical and neural natural language processing. Annotated corpora are also a major supporting source of information for unsupervised methods, multitask learning, and evaluation of both NLP tools and theories about language within and outside of linguistics. The LAW-XVIII will provide a forum for presentation and discussion of innovative research on all aspects of linguistic annotation, including creation/evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, semi-supervised “human in the loop” methods of annotation, crowd-sourcing approaches, and more. The LAW will also provide a forum for annotation researchers to work towards standardization, best practices, and interoperability of annotation information and software. **Special Theme** The special theme of LAW-XVIII is “Annotation in the Age of Large Language Models (LLMs).” In addition to LAW’s general topics, we specifically invite submissions on the following topics: - Comparison of linguistically annotated datasets vs. datasets created using large language models. Potential topics include: - Comparison of models that have been trained on the respective datasets - Impact of data size of manually annotated resources already available prior to dataset creation with LLMs - Is synthetic dataset creation a viable option for non-standard domains, e.g., the medical domain, where expert knowledge is required? - Non-performance-related considerations of manual vs. synthetic dataset creation (e.g., explainability) - Impact and prevention of test dataset contamination in LLM training - Usefulness of LLMs for linguistic research (in relation to annotation). - Any other topics related to the special theme. **Submissions** We welcome submissions of long and short papers, posters, and demonstrations relating to the special theme or any aspect of linguistic annotation, including: - Annotation procedures - Innovative automated and manual strategies for annotation - Machine learning and knowledge-based methods for automation of corpus annotation - Creation, maintenance, and interactive exploration of annotation structures and annotated data - Annotation evaluation - Inter-annotator agreement and other evaluation metrics and strategies - Qualitative evaluation of linguistic representations - Innovative means to evaluate annotation quality - Annotation access and use - Representation formats/structures for annotations of different phenomena, especially annotations at multiple levels, and means to explore/manipulate them - Linguistic considerations for merging annotations of distinct phenomena - Annotation schemes, guidelines and standards - New and innovative annotation schemes, comparison of annotation schemes - Methodologies and resources for annotation scheme development - Best practices for annotation procedures and/or development and documentation of annotation schemes - Interoperability of annotation formats and/or frameworks among different systems as well as different tasks, frameworks, modalities, and languages - Results from the application and evaluation of standards for linguistic annotation - Annotation software and frameworks - Development, evaluation and/or innovative use of annotation software frameworks Submissions should report original and unpublished research on topics of interest to the workshop. We also invite substantiated position papers, in particular with regard to our special theme. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should emphasize obtained results rather than intended work, and should indicate clearly the state of completion of the reported results. A paper accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Long/short paper submissions must use the official ACL style templates. Long papers must not exceed eight (8) pages of content. Short papers and demonstration papers must not exceed four (4) pages of content. References do not count against these limits. Note: The supplementary material does not count towards page limit and should not be included in the paper, but should be submitted separately using the appropriate field on the submission website. All submissions must be in PDF format. Reviewing of papers will be double-blind. Therefore, the paper must not include the authors’ names and affiliations or self-references that reveal the authors’ identity--e.g., "We previously showed (Smith, 1991) ..." should be replaced with citations such as "Smith (1991) previously showed ...". Papers that do not conform to these requirements will be rejected without review. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop co-chairs (law-xviii-2024(a)googlegroups.com). Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason. We follow previous and current ACL policy to establish an anonymity period (from submission to author notification) during which non-anonymous posting of preprints is not allowed. Also included in that policy are instructions to reviewers to not rate papers down for not citing recent preprints. Authors are asked to cite published versions of papers instead of preprint versions when possible. Papers can be submitted at https://softconf.com/eacl2024/LAW-XVIII/. If you have any questions, please feel free to contact the program co-chairs via e-mail or check the workshop website (https://sigann.github.io/LAW-XVIII-2024/) for updates. **Dates** (All submission deadlines are 11:59 p.m. UTC-12:00 “anywhere on Earth”) Anonymity period starts: November 18, 2023 Submission of long and short papers: December 18, 2023 ARR Commitment deadline: January 17, 2024 Notification of acceptance: January 20, 2024 Camera-ready papers due: January 30, 2024 Workshop: March 21 or 22, 2024 **Workshop Organizers** Manfred Stede (Program Co-Chair) Sophie Henning (Program Co-Chair) Amir Zeldes (ACL SIGANN President) Ines Rehbein (ACL SIGANN Secretary) **Contact** Website: https://sigann.github.io/LAW-XVIII-2024/ Submission: https://softconf.com/eacl2024/LAW-XVIII/ E-mail: law-xviii-2024(a)googlegroups.com

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[CFP] Research Topic on "Advances in Structured Information Extraction for Large Language Models " in Journal "Frontiers in Artificial Intelligence"
by Jennifer D'Souza 24 Oct '23

24 Oct '23

The journal /Frontiers in Artificial Intelligence <https://www.frontiersin.org/journals/artificial-intelligence>/ is arranging a Research Topic on "Advances in Structured Information Extraction for Large Language Models." As Topic Editors for the issue, we would like to invite you to contribute a review or research article. The submission deadline will be /25 March 2024/. Learn more about the research topic here https://www.frontiersin.org/research-topics/58745/advances-in-structured-in… and indicate your interest to contribute by clicking "Participate in this topic." This will ensure you receive timely reminders from the publishers. Your cordially, Dr. Jennifer D'Souza Prof. Dr. Anisa Rula *Research Topic Editors*

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1st CfP: Translation in Transition 2024
by Ekaterina Lapshinova-Koltunski 24 Oct '23

24 Oct '23

Dear colleagues, we are happy to announce the 7th edition of the Translation in Transition conference (https://sites.google.com/view/tt2024). This series of conferences has established itself as a central meeting point for researchers in the field of empirical translation studies through previous editions in Copenhagen, Germersheim, Ghent, Barcelona, Kent and Prague. In its 7th edition held at the Shota Rustaveli State University in Batumi it once again wants to be a forum of discussion for empirical research that is based on any kind of empirical methodology and that advances our knowledge in the fields of translation and interpreting. While the Batumi edition will be open to various topics within empirical translation studies, we also want to put special emphasis on two directions: low-resourced and less-researched language pairs, as well as an interplay between different methods and data types, e.g. combining product and process research. First Call for Papers We invite original submissions that deal with any of the conference topics. To encourage a fruitful exchange of ideas and experience among the researchers of various fields of specialization, preference will be given to interdisciplinary contributions that cover two or more of the conference topics. The submissions are to be made in the form of anonymized extended abstracts that should be between 800 and 1000 words long (excluding references) by February 16, 2024. Apart from a clear outline of the aims and methods of the study, the abstracts should also provide (preliminary) results. The abstracts will be submitted through the open review system (https://openreview.net/group?id=TT/2024/Conference) and reviewed by at least two members of the scientific committee. The accepted contributions will be presented either as oral talks or as posters. All submissions must follow the abstract submission instructions (https://sites.google.com/view/tt2024/submission-instructions). We welcome contributions (in English) grounded in empirical approaches to studying both interlingual and intralingual translation, as well as theoretical and position papers on the following topics: * Empirical methods and models (corpus-based, corpus-driven, experimental) or methods derived from computational linguistics and data mining (e.g. computational semantics, pragmatics) applied to translation studies * Presentation of new resources for translation studies (spoken corpora, multimodal corpora, interpreting transcript datasets, corpora of low-resourced languages, lexicons, databases, etc.) * Method and data triangulation: combined use of corpus data and methods and other sources of data * Detection and analysis of specific features of translation (translationese, interpretese, editese, machine translationese, post-editese, etc.) using parallel and comparable corpora * Analysis and interpretation of variation in translation, e.g. variation driven through register/genre, expertise, mode, etc. * Empirical analysis of specialised translation, e.g. legal translation, technical translation and others * Analysis of non-canonical forms of translation/interpreting and multilingual communication * Cognitive and computational insights of variation in translation and translationese * Cognitive modeling of translation processes, including cognitive load measurements * Translation quality assessment and evaluation using corpora or experimental research * Translation in specific settings: between close languages, from a third language, non-native translation, indirect/relay translation, etc. * The use of corpora in translator and/or interpreter training * Improving understanding of translation in the context of NLP * Computer-assisted translation and/or interpreting (CAT/CAI) * Machine translation (MT): analysis, evaluation, selection and preparation of data for MT, ‘machine translationese’Important dates · Conference abstract submission due: Feb 16, 2024 · Notification of acceptance: April 8, 2024 · Final abstract version due: April 29, 2024 · Registration open: May 6, 2024 · Early-bird registration: June 6, 2024 · Conference date: September 23-25, 2024 The conference is organized by the Department of European Studies, Faculty of Humanities, Batumi Shota Rustaveli State University in Batumi (Georgia) in cooperation with the Institute of Translation Studies and Specialised Communication, University of Hildesheim (Germany). Local organizing committee at the Batumi Shota Rustaveli State University Khatuna Beridze, Theona Beridze, Khatuna Diasamidze, Tamta Nagervadze Program Chairs at the University of Hildesheim Ekaterina Lapshinova-Koltunski and Silvana Deilen -- Prof. Dr. Ekaterina Lapshinova-Koltunski Geschäftsführende Direktorin Institut für Übersetzungswissenschaft und Fachkommunikation Fachbereich 3: Sprach und Informationswissenschaften Stiftung Universität Hildesheim Lübecker Straße 3 31141 Hildesheim +49 5121 883-30934

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PhD position: Machine Learning for Natural Languages and other sequence data
by Dietrich Klakow 24 Oct '23

24 Oct '23

PhD position: Machine Learning for Natural Languages and other sequence data ========================================================= ==== (Computer Science, Computational Linguistics, Physics or similar) The research group is focusing on getting a deeper understanding of how modern deep learning methods can be applied to natural languages or other sequence papers. Our recent achievements include a best paper award at COLING 2022 and a best theme paper award at ACL 2023. We offer a PhD position that is topically open and should have a strong focus on applying machine learning techniques to natural language data or other sequence data (e.g., string representations of chemical compounds). The ideal candidate for the position would have: 1. Excellent knowledge of machine learning and deep learning 2. Excellent programming skills 3. Masters degree in Computer Science, Computational Linguistics, Physics, or similar Salary: The PhD position will be 75% of full time on the German E13 scale (TV-L) which is about 3144€ per month before tax and social security contributions. The appointments will be for three years with a possible extension at 50%. About the department: The department of Language Science and Technology is one of the leading departments in the speech and language area in Europe. The flagship project at the moment is the CRC on Information Density and Linguistic Encoding. It also runs a significant number of European and nationally funded projects. In total, it has seven faculty and around 50 postdoctoral researchers and PhD students. The department is part of the Saarland Informatics Campus. With 900 researchers, two Max Planck institutes and the German Research Center for Artificial Intelligence, it is one of the leading locations for Informatics in Germany and Europe. How to apply: Please send us a letter of motivation, a research plan (max one page), your CV, your transcripts, if available a list of publications, and the names and contact information of at least two references, as a single PDF or a link to a PDF if the file size is more than 5 MB. Please apply latest by November 20th, 2023. Earlier applications are welcome and will be processed as they come in. Contact: Applications and any further inquiries regarding the project should be directed todietrich.klakow at lsv.uni-saarland.de <https://mailman.uib.no/listinfo/corpora>

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First CFP: The 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2024)
by Michael Hahn 24 Oct '23

24 Oct '23

First CFP: The 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2024) To be held at EACL 2024 (March 21 or 22, 2024 Malta) Website: https://sigtyp.github.io/ Submission website: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/SIGTYP <https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/SIGTYP> Submission deadline: December 18, 2023 We invite submissions to the 6th edition of the SIGTYP workshop on Research in Computational Linguistic Typology and Multilingual NLP, to be held at EACL 2024 on March 21 or 22, 2024. Workshop description The aim of the 6th edition of SIGTYP workshop is to act as a platform and a forum for the exchange of information between typology-related research, multilingual NLP, and other research areas that can lead to the development of truly multilingual NLP methods. The workshop is specifically aimed at raising awareness of linguistic typology and its potential in supporting and widening the global reach of multilingual NLP, as well as at introducing computational approaches to linguistic typology. It will foster research and discussion on open problems, not only within the active community working on cross- and multilingual NLP but also inviting input from leading researchers in linguistic typology. Our workshop will serve as a platform to enable fruitful discussions. In 2024, we additionally focus on bridging the gap between cross-linguistic and universal annotation, models, and technology. SIGTYP is the first dedicated venue for typology-related research and its integration in multilingual NLP. Appropriate topics include (but are not limited to) the following as they relate to the areas of the workshop: * Integration of typological features in language transfer and joint multilingual learning. In addition to established techniques such as “selective sharing”, are there alternative ways to encoding heterogeneous external knowledge in machine learning algorithms? * Development of unified taxonomy and resources. Building universal databases and models to facilitate understanding and processing of diverse languages. * Automatic inference of typological features. The pros and cons of existing techniques (e.g. heuristics derived from morphosyntactic annotation, propagation from features of other languages, supervised Bayesian and neural models) and discussion on emerging ones. * Typology and interpretability. The use of typological knowledge for interpretation of hidden representations of multilingual neural models, multilingual data generation and selection, and typological annotation of texts. * Improvement and completion of typological databases. Combining linguistic knowledge and automatic data-driven methods towards the joint goal of improving the knowledge on cross-linguistic variation and universals. * Linguistic diversity and universals. Challenges of cross-lingual annotation. Which linguistic phenomena or categories should be considered universal? How should they be annotated? * Language-specific studies to support or contradict universals. Framing a study on 1-3 languages that would shed more light on common linguistic structures and properties. * Extra topics also include: generation of constructed languages, universals in diachronic languages changes, information-theoretic approaches to typology, automated approaches to etymology. Important Dates (all deadlines are 23:59 AoE) — December 18, 2023: Paper submission deadline — January 20, 2024: Notification of acceptance — January 30, 2024: Camera-ready deadline — March 21 or 22, 2024: Workshop Submissions We invite both extended abstract submissions (non-archival) and general paper submissions (archival). The accepted submissions will be presented at the workshop, providing new insights and ideas. Extended abstracts should describe already published work or work in progress and should not exceed two (2) pages. This way, we will not discourage researchers from preferring main conference proceedings, at the same time ensuring that interesting and thought-provoking research is presented at the workshop. For general (archival) submissions we accept both long and short papers. Short papers should not exceed four (4) pages, long papers should not exceed eight (8) pages papers. Unlimited additional pages are allowed for the references section in all submission types. Submissions should be anonymous, without authors or an acknowledgement section; self-citations should appear in third person. Submissions must follow the EACL 2024 stylesheet https://github.com/acl-org/acl-style-files <https://github.com/acl-org/acl-style-files>; both long and short paper submissions must follow the two-column format of ACL proceedings. All submissions must be in PDF format. These should be submitted via OpenReview: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/SIGTYP <https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/SIGTYP>. ARR submissions that were rejected or withdrawn from EACL can be submitted to SIGTYP by January 17, 2024. We will create a web form for submitting, and announce it at https://sigtyp.github.io/sigtyp-cfp2024.html by January 15, 2024. Acceptance decisions will be made based on the existing ARR reviews. Authors will be notified by January 20, 2024. Organizing Committee Michael Hahn, Rena Gao, Saliha Muradoglu, Yulia Otmakhova, Andreas Shcherbakov, Oleg Serikov, Jinrui Yang, Alexey Sorokin, Priya Rani, Ritesh Kumar, Ryan Cotterell, Edoardo M. Ponti, Kat Vylomova Anti-harassment policy The workshop follows the ACL anti-harassment policy: https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy <https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy>. Contact For any inquiries regarding the workshop, please send an email to the Organizing Committee at sigtyp(a)gmail.com

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1st Call for Papers: CODI, 5th Workshop on Computational Approaches to Discourse
by Chloé Braud 23 Oct '23

23 Oct '23

CODI, 5th Workshop on Computational Approaches to Discourse 2024-03-21 or 22 - EACL 2024 - Malta ** Submission deadline: December 20th, 2023 - No deadline extension ** Website link: https://sites.google.com/view/codi2024 Aims and scope The last ten years have seen a dramatic improvement in the ability of NLP systems to understand and produce words and sentences. This development has created a renewed interest in discourse phenomena as researchers move towards the processing of long-form text and conversations. There is a surge of activity in discourse parsing, coherence models, text summarization, corpora for discourse level reading comprehension, and discourse related/aided representation learning, to name a few, but the problems in computational approaches to discourse are still substantial. At this juncture, we have organized four Workshops on Computational Approaches to Discourse (CODI) at EMNLP 2020, EMNLP 2021, COLING 2022 and ACL 2023 to bring together discourse experts and upcoming researchers. These workshops have catalyzed work to advance research on discourse level problems and have served as a forum for the discussion of suitable datasets and reliable evaluation methods. The previous workshops on discourse in machine translation (DiscoMT), linking lexical, sentential and discourse semantics (LSDSem), discourse structure in natural language generation (DSNNLG), discourse relation parsing and treebanking (DISRPT) and coreference (CORBON/CRAC), have shown that there is considerable interest and success in bringing together the community working on specific problems in discourse. We believe that the discourse community will also benefit from a general forum where work ranging from corpus development/analysis to computational models, and evaluation is discussed, and desiderata can be drawn for future progress. The 5th CODI workshop is planned as a 1 day event which brings together different subcommunities. It will feature invited talks and regular papers. We also accept papers accepted at other major conferences for non-archival presentation, including Findings papers. Topics of interest We welcome papers on symbolic and probabilistic approaches, corpus development and analysis, as well as machine and deep learning approaches to discourse. We appreciate theoretical contributions as well as practical applications, including demos of systems and tools. The goal of the workshop is to provide a forum for the community of NLP researchers working on all aspects of discourse. Topics of interest include, but are not limited to: - discourse structure - discourse connectives - discourse relations - annotation tools and schemes for discourse phenomena - corpora annotated with discourse phenomena - discourse parsing - cross-lingual discourse processing - cross-domain discourse processing - anaphora and coreference resolution - event coreference - argument mining - coherence modeling - discourse and semantics - discourse in applications such as machine translation, summarization, etc. - evaluation methodology for discourse processing Submissions We solicit three categories of papers: regular (long and short) workshop papers, demos and extended abstracts. Only regular workshop papers and demos will be included in the proceedings as archival publications. Double submission of papers is allowed but will need to be indicated at submission. Regular papers must describe original unpublished research. Long papers may consist of up to 8 pages of content, plus unlimited pages for references. Short papers can be up to 4 pages, plus unlimited pages for references. Demo submissions may describe systems, tools, visualizations, etc., and may consist of up to 4 pages, plus unlimited pages for references. Each submission can contain unlimited pages for Appendices but the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review them. Extended abstracts can describe work in progress. These may be two pages long (without references). Extended abstracts are non-archival. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. Paper accepted or rejected at one of the main conferences We also invite presentations of paper accepted at another main conference, a specific deadline and submission process will be communicated later on. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. We will also consider for publication papers rejected at one of the main conferences (see the direct submission deadline below), authors will have to submit both the paper and the reviews. The submission process will be communicated later on. Submission website All submissions must be anonymous and follow the EACL 2024 formatting instructions described here: https://aclrollingreview.org/cfp Please submit your workshop papers at https://softconf.com/eacl2024/CODI-2024/ Important dates 2023-12-20: CODI papers due 2024-01-17: Direct submission (papers rejected at a main conference) 2024-01-20: Notification of acceptance 2024-01-30: Camera ready deadline for main conference and CODI 2024-03-17 – 2024-03-22: CODI workshop All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Due to the tight schedule, there will be no deadline extension. Invited Speakers - Hannah Rohde, University of Edinburgh - Manfred Stede, Potsdam University Organizers Chloé Braud, CNRS-IRIT Christian Hardmeier, IT University of Copenhagen Chuyuan (Lisa) Li, University of British Columbia Jessy Li, University of Texas, Austin Sharid Loáiciga, University of Gothenburg Michael Strube, Heidelberg Institute for Theoretical Studies Amir Zeldes, Georgetown University To contact the organizers, please send an email to: codi-workshop(a)googlegroups.com

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Data-driven history of philosophy and of philosophical ideas - Expression of Interest
by Maria Parisi 23 Oct '23

23 Oct '23

Dear List Members, Arianna Betti’s group (Concepts in Motion<https://conceptsinmotion.org/>) in data-driven history of philosophy and philosophical ideas from any period and place is inviting expressions of interest from all colleagues and students curious about new data-driven and computational approaches to philosophical texts. We invite expression of interest in internships, individual modules and possible collaboration. We are based at the department of Philosophy at the University of Amsterdam and at the Institute for Logic, Language and Computation (ILLC), but we also work in a hybrid and online research environment. On the occasion of the imminent launch of the new data-driven project in British Empiricism funded by the Dutch Research Council (NWO), Counting the Bees, we are also launching the <https://conceptsinmotion.org/whats-on/axiom-whats-on/data-driven-history-of…> Data-Driven History of Ideas (DaDriH) Seminar Series<https://conceptsinmotion.org/whats-on/axiom-whats-on/data-driven-history-of…>, a series of online seminars on data formats, tools, and best practices for working with data relevant to the history of philosophy and philosophical ideas. In particular, in this series we will have experts discussing the managing of authority records, identifiers for persons, timelines, and works, as well as infrastructures on which to clean and enrich these data. The first seminar of the series will be held on Friday October 27th at 14.00 CET: Speaker: Chiara Latronico Title: Lessons and recommendations in data practices from the Golden Agents project Chiara Latronico (Nederlands Instituut voor Beeld & Geluid) will highlight her experience in working with bibliographic data in the Golden Agents project. In this seminar, she will discuss with us linked data standards, models, and tools, with special attention to RDF. Bring your questions to the seminar for a live Q&A session. If you would like to join the seminar, please register here<https://uva-live.zoom.us/meeting/register/tZMpc-utqjkpH9SfG1FuiXoH3tqq1th0X…>. With best wishes, Maria Chiara Parisi, on behalf of the Concepts in Motion Team

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Post Doc position: Natural Language Processing
by Dietrich Klakow 23 Oct '23

23 Oct '23

Post Doc position: Natural Language Processing ======================================== (Computer Science, Computational Linguistics or similar) The research group is focusing on getting a deeper understanding of how modern deep learning methods can be applied to natural languages. Our recent achievements include a best paper award at COLING 2022 and a best theme paper award at ACL 2023. We offer a PostDoc position that is topically open and should have a strong focus on applying machine learning techniques to natural language data. The research should on the one hand be connected to ongoing research of PhD students and at the same time pursue a clear new direction. The ideal candidate for the position would have: 1. Solid experience in natural language processing 2. Excellent knowledge of machine learning and deep learning 3. Be involved, knowledgeable and generous in scientific discussions with all group members? 4. Excellent programming skills 5. Doctoral degree in Computer Science, Computational Linguistics or similar Salary: The PostDoc position will be 100% of full time on the German E13 scale (TV-L) which is about 4188€ per month before tax and social security contributions. The appointments will be for two years with a possible extension. About the department: The department of Language Science and Technology is one of the leading departments in the speech and language area in Europe. The flagship project at the moment is the CRC on Information Density and Linguistic Encoding. It also runs a significant number of European and nationally funded projects. In total, it has seven faculty and around 50 postdoctoral researchers and PhD students. The department is part of the Saarland Informatics Campus. With 900 researchers, two Max Planck institutes and the German Research Center for Artificial Intelligence, it is one of the leading locations for Informatics in Germany and Europe. How to apply: Please send us a letter of motivation, a research plan (max one page), your CV, your transcripts, a list of publications, and the names and contact information of at least two references, as a single PDF or a link to a PDF if the file size is more than 5 MB. Please apply latest by November 20th, 2023. Earlier applications are welcome and will be processed as they come in. Contact: Applications and any further inquiries regarding the project should be directed todietrich.klakow at lsv.uni-saarland.de <https://mailman.uib.no/listinfo/corpora>

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[CfP]: Computational Approaches to Language Data Pseudonymization @ EACL 2024
by Elena Volodina 23 Oct '23

23 Oct '23

First Call for papers: CALD-pseudo workshop on Computational Approaches to Language Data Pseudonymization @ EACL 2024, March 21 or 22, 2024 Website: https://mormor-karl.github.io/events/CALD-pseudo/ Submission website: https://softconf.com/eacl2024/CALD-pseudo-2024/ Submission Deadline: Monday, 18 December 2023 We invite submissions to the first edition of the CALD-pseudo workshop on Computational Approaches to Language Data Pseudonymization, to be held at EACL 2024 on March 21 or 22, 2024. [Important Dates] * December 18, 2023: paper submission deadline * January 17, 2024: resubmission of already pre-reviewed ARR papers * January 20, 2024: notification of acceptance * January, 30 2024: camera-ready papers due * March 21 or 22, 2024: workshop date (the date to be confirmed by the EACL) [Introduction] Accessibility of research data is critical for advances in many research fields, but textual data often cannot be shared due to the personal and sensitive information which it contains, e.g names, political opinions, sensitive personal information and medical data. General Data Protection Regulation, GDPR (EU Commission, 2016), suggests pseudonymization as a solution to secure open access to research data but we need to learn more about pseudonymization as an approach before adopting it for manipulation of research data (Volodina et al., 2023). The main challenge is how to effectively pseudonymize data so that individuals cannot be identified, while at the same time keeping the data usable for research in, among others, computational linguistics, linguistics and natural language processing, for which it was collected. [Topics of Interest] CALD-pseudo workshop invites a broad community of researchers in all concerned cross-disciplinary fields to jointly discuss challenges within pseudonymization, such as * automatic approaches to detection and labelling of personal information in unstructured language data, including events and other context-dependent cues revealing a person; * developing context-sensitive algorithms for replacement of personal information in unstructured data; * studies into the effects of pseudonymization on unstructured data, e.g. applicability of pseudonymised data for the intended research questions, readability of pseudonymised data or addition of unwelcome biases through pseudonymization; * effectiveness of pseudonymization as a way of protecting writer identity; * reidentification studies; e.g. adversarial learning techniques that attempt to breach the privacy protections of pseudonymized data; * constructing datasets for automatic pseudonymization, including methodological and ethical aspects of those; * approaches to the evaluation of automatic pseudonymization both in concealing the private information and preserving the semantics of the non-personal data; * pseudonymization tools and software: evaluating the available tools and software for pseudonymization in different languages, and their ease of use, scalability, and performance; * and numerous other open questions. [Submission Guidelines] Authors are invited to submit by December 18, 2023 original and unpublished research papers in the following categories: * Full papers (up to 8 pages) for substantial contributions * Short papers (up to 4 pages) for ongoing or preliminary work All submissions must be in PDF format must follow the EACL 2024 guidelines described in the ARR CfP (https://aclrollingreview.org/cfp), be in pdf, and use the official ACL style templates available here: https://github.com/acl-org/acl-style-files Direct submission deadline: December 18, 2023 at https://softconf.com/eacl2024/CALD-pseudo-2024/ Deadline for registration of ARR reviewed papers: January 17, 2023. (Further instructions will follow.) We also invite authors of papers on the topics of the workshop accepted to Findings to reach out to the organizing committee of CALD-pseudo to present them at the workshop. [Invited speakers] We are happy to announce that the workshop will host two invited speakers: * Anders Søgaard, University of Copenhagen, Denmark * Ildikó Pilán, the Norwegian Computing Center, Norway [Workshop Organizers] * Elena Volodina, University of Gothenburg, Sweden * Therese Lindström Tiedemann, University of Helsinki, Finland * Simon Dobnik, University of Gothenburg, Sweden * Xuan-Son Vu, Umeå university, Sweden [Program Committee] A list of program committee members is available on the workshop website. [Contact] For inquiries, please contact mormor.karl(a)svenska.gu.se ACL link to the call: https://www.aclweb.org/portal/content/computational-approaches-language-dat… ___________________ Elena Volodina, PhD, Docent https://spraakbanken.gu.se/en/about/staff/elena Life is like a mirror. Smile at it and it smiles back at you. Peace Pilgrim

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): Second Call for Papers
by Announce 22 Oct '23

22 Oct '23

*** Second Call for Papers *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: November 24, 2023 AoE ***) The CAiSE’24 organization calls for full papers with a special emphasis on the theme of Information Systems in the Age of Artificial Intelligence. Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing various industries, and its significance in Information Systems cannot be overstated. AI-powered systems have the potential to streamline operations, enhance decision-making processes, and drive innovation across organizations. From data analysis to automated processes, AI is reshaping the way we leverage information in the digital age. The relevance of AI in IS extends beyond internal operations. AI-powered predictive analytics enables organizations to forecast trends, anticipate customer needs, and optimize resource allocation. This empowers businesses to adapt swiftly to changing market dynamics, gain a competitive edge, and make proactive decisions. AI algorithms can also detect anomalies and patterns that indicate potential security breaches, contributing to robust cybersecurity measures in information systems. However, while acknowledging the benefits, it is essential to consider the ethical implications of AI in information systems. Ensuring data privacy, addressing bias in algorithms, and maintaining transparency are vital aspects that need to be carefully managed and regulated to foster trust and accountability. In addition to offering an exciting scientific program, CAiSE’24 will feature a best paper award, a journal special issue, and a PhD-thesis award: • Best Paper Award‚ prize EUR 1000 (sponsored by Springer) • A small selection of best papers will be invited to submit enhanced versions for consideration in a special issue of Elsevier Information Systems journal dedicated to this conference. • PhD-Thesis Award • Best PhD thesis of a past CAiSE Doctoral Consortium author (co-sponsored by the CAiSE Steering Committee and Springer) Papers should be submitted in PDF format. Submissions must conform to Springer‚ LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. See the guidelines here: https://www.springer.com/comp/lncs/authors.html . The results described must be unpublished and must not be under review elsewhere. Three to five keywords characterizing the paper should be listed at the end of the abstract. Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one additional program board member. The selected papers will be discussed among the paper reviewers online and during the program board meeting. As the review process is not blind, please indicate your name and affiliation on your submission. Accepted papers will be presented at CAiSE’24 and published in the Springer Lecture Notes in Computer Science (LNCS) conference proceedings. We invite three types of original and scientific papers. The type of submission must be indicated in the submission system. Each contribution should explicitly address the engineering or the operation of information systems, clearly identify the information systems problem addressed, the expected impact of the contribution to information system engineering or operation, and the research method used. We strongly advise authors to clearly emphasize these aspects in their paper, including the abstract. Technical papers describe original solutions (theoretical, methodological or conceptual) in the field of IS Engineering. A technical paper should clearly describe the situation or problem tackled, the relevant state of the art, the position or solution suggested and its potential‚ as well as demonstrate the benefits of the contribution through a rigorous evaluation. Empirical papers evaluate existing problem situations including problems encountered in practice, or validate proposed solutions with scientific means, i.e., by empirical studies, experiments, case studies, experience reports, simulations, etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research method must be sound and appropriate. Exploratory papers describe completely new research positions or approaches, in order to face a generic situation arising because of new ICT tools, new kinds of activities, or new IS challenges. They must precisely describe the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness in addressing the identified situation. The topics of contribution include but are not limited to: • Novel Approaches to IS Engineering ◦ Artificial Intelligence and Machine Learning ◦ Robotic Process Automation (RPA) ◦ Big Data, Data Science and Analytics ◦ Blockchain applications in IS ◦ Simulation and Digital Twins  ◦ IS for collaboration and social computing  ◦ Virtual reality / Augmented Reality ◦ Context-aware, autonomous and adaptive IS • Models, Methods and Techniques in IS Engineering ◦ Ontologies and Ontology Engineering ◦ Conceptual modeling, languages and design ◦ Requirements engineering ◦ Process modeling, analysis and improvement ◦ Process automation, mining and monitoring ◦ Models and methods for evolution and reuse ◦ Domain and method engineering ◦ Product lines, variability and configuration management ◦ Compliance and alignment handling ◦ Active and interactive models ◦ Quality of IS models for analysis and design ◦ Visualization techniques in IS ◦ Decision models and business intelligence ◦ Knowledge graphs ◦ Human-centered techniques • Architectures and Platforms for IS Engineering ◦ Distributed, mobile and open architecture ◦ Big Data architectures ◦ Cloud- and edge-based IS engineering ◦ Service oriented and multi-agent IS engineering ◦ Multi-platform IS engineering ◦ Cyber-physical systems and Internet of Things (IoT) ◦ Workflow and Process Aware Information Systems (PAIS) ◦ Handling of real time data streams ◦ Content management and semantic Web ◦ Crowdsourcing platforms ◦ Conversational agents (chatbots) ◦ Microservices design and deployment • Domain-specific and Multi-aspect IS Engineering ◦ IT governance ◦ eGovernment ◦ Autonomous and smart systems (smart city management, smart vehicles, etc.) ◦ IS for healthcare ◦ Educational Systems and Learning Analytics ◦ Value and supply chain management ◦ Industry 4.0 ◦ Sustainability and social responsibility management ◦ Privacy, security, trust, and safety management ◦ IS in the post-COVID world Submit your paper using the Easy Chair link: https://easychair.org/conferences/?conf=caise2024 . IMPORTANT DATES • Abstract Submission: 24th November 2023 (AoE) • Paper Submission: 1st December 2023 (AoE) • Notification of Acceptance: 23rd February 2024 • Camera-ready Papers: 5th April 2024 • Author registration: 5th April 2024 ORGANISATION General Chairs • Haris Mouratidis, University of Essex, UK • Pnina Soffer, University of Haifa, Israel Local Organizing and Finance Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Giancarlo Guizzardi, University of Twente, The Netherlands • Flavia Maria Santoro, University of the State of Rio de Janeiro, Brazil Other Committee Members https://cyprusconferences.org/caise2024/committees/

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First Call for Papers (CFP); CASE @ EACL 2024, March 21-22: The 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text
by ali hürriyetoglu 21 Oct '23

21 Oct '23

Call for workshop papers and Shared Task participation: the 6th workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text - CASE @ EACL 2024 ************************************************************************************ URL: https://emw.ku.edu.tr/case-2024/ Paper submission deadline: 18 December 2023 Paper acceptance notification: 20 January 2024 Paper camera-ready: 30 January 2024 Workshop dates: 21-22 March 2024 Softconf page of the workshop: https://softconf.com/eacl2024/CASE-2024/ ************************************************************************************ We invite contributions from researchers in computer science, NLP, ML, DL, AI, socio-political sciences, conflict analysis and forecasting, peace studies, as well as computational social science scholars involved in the collection and utilization of socio-political event data. This includes (but is not limited to) the following topics 1) Extracting events and their arguments such as time and location in and beyond a sentence or document, event coreference resolution. 2) Research in NLP technologies in relation to event detection: geocoding, temporal reasoning, argument structure detection, syntactic and semantic analysis of event structures, text classification, for event type detection, learning event-related lexica, event co-reference resolution, fake news analysis, and others with a focus on real or potential event detection applications. 3) New datasets, training data collection, and annotation for event information. 4) Event-event relations, e.g., subevents, main events, spatio-temporal relations, causal relations. 5) Event dataset evaluation in light of reliability and validity metrics. 6) Defining, populating, and facilitating event schemas and ontologies. 7) Automated tools and pipelines for event collection related tasks. 8) Lexical, syntactic, semantic, discursive, and pragmatic aspects of event manifestation. 9) Methodologies for development, evaluation, and analysis of event datasets. 10) Applications of event databases, e.g. early warning, conflict prediction, policymaking. 11) Estimating what is missing in event datasets using internal and external information. 12) Detection of new and emerging SPE types, e.g. creative protests. 13) Release of new event datasets. 14) Bias and fairness of the sources and event datasets. 15) Ethics, misinformation, privacy, and fairness concerns pertaining to event datasets. 16) Copyright issues on event dataset creation, dissemination, and sharing. 17) Cross-lingual, multilingual and multimodal aspects in event analysis. 18) Resources and approaches related to contentious politics around climate change. **** Shared tasks **** Please check the workshop page for the shared tasks or contact the organizers. The up-to-date list of shared tasks will be announced soon. *** Keynotes *** We will continue our tradition of inviting keynote speakers from both social and computational sciences. The up-to-date list of keynote speakers will be announced soon. *** Submission guidelines *** This call solicits short and long papers reporting original and unpublished research on the topics listed above. The papers should emphasize obtained results rather than intended work and should indicate clearly the state of completion of the reported results. The page limits and content structure announced at ACL ARR page (https://aclrollingreview.org/cfp) should be followed for both short and long papers. Papers should be submitted on the START page of the workshop ( https://softconf.com/eacl2024/CASE-2024/) in PDF format, in compliance with the ACL publication author guidelines for ACL publications https://acl-org.github.io/ACLPUB/formatting.html. The templates can be found on https://github.com/acl-org/acl-style-files. The reviewing process will be double-blind and papers should not include the author’s names and affiliations. Each submission will be reviewed by at least three members of the program committee. The workshop proceedings will be published on ACL Anthology. *** More ... *** Please see the workshop webpage (https://emw.ku.edu.tr/case-2024/) for additional details and updates. Please see previous events for more context on this event series: https://emw.ku.edu.tr/workshops/ Contact: ali.hurriyetoglu(a)gmail.com *** Workshop organizers *** Ali Hürriyetoğlu, KNAW Humanities Cluster, the Netherlands Hristo Tanev, European Commission, Joint Research Centre (EU JRC), Italy Erdem Yörük, Koc University, Turkey Jatin Bedi, Thapar Institute of Engineering and Technology, Patiala, India. Surendrabikram Thapa, Virginia Tech, the USA S. Angel Deborah, SSN College of Engineering, India S. Rajalakshmi, SSN College of Engineering, India Onur Uca, Mersin University, Turkey Mark Lee, School of Computer Science University of Birmingham, United Kingdom Francielle Vargas, University of São Paulo, Brazil Farhana Ferdousi Liza, University of East Anglia, the United Kingdom Shruti Kulkarni, Oak Ridge National Laboratory, United States Vivek Kumar, University of the Bundeswehr Munich, Germany Milena Slavcheva, IICT, Bulgarian Academy of Sciences, Bulgaria

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PhD and postdocs at CSS , University of Tartu, Estonia
by Rajesh Sharma 20 Oct '23

20 Oct '23

Dear All, Computational Social Science group (https://css.cs.ut.ee/), at the University of Tartu, Estonia is looking for PhD and Postdoctoral applicants. So, if you are interested, please write to us and if you know someone who might be interested, please spread the word!! What is the topic about? ==================== We are interested in topics related to misinformation, hate and hope speech, media biasness, AI Ethics, fairness and explainability on online social media. We are also open to other topics if they overlap with the interests of our group. Why join us? ==================== You'll be part of Estonia's esteemed University of Tartu Institute of Computer Science (https://cs.ut.ee/en) which is in the modern Delta Centre ( https://delta.ut.ee/en/), a beacon of technological innovation and research excellence. Scholarship/Salary ==================== For PhD applicants, the gross salary is 2000 Euros per month for four years, and for Postdocs, it will be 2500 Euros gross per month. We will support research related travels and there is no tuition fees for PhD students. Education Qualification: ==================== For PhD applicants, master's degree is required and for postdoc, PhD degree is required. We are open to discuss positions with non-computer science students (who have good programming knowledge). Please drop a mail for any query or to show your interests at contact(a)css.cs.ut.ee or rajesh.sharma(a)ut.ee or roshni.chakraborty(a)ut.ee. Kind Regards Rajesh Sharma Associate Prof, Institute of Computer Science, Head, Computational Social Science group University of Tartu, Estonia Group webpage: https://css.cs.ut.ee/ Personal webpage: https://rajeshsharma.cs.ut.ee/

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Permanent faculty positions at the ILLC, University of Amsterdam
by Ekaterina Shutova 20 Oct '23

20 Oct '23

We have an opening for a permanent faculty position at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam, Netherlands. The position is in the area of neuro-symbolic artificial intelligence, with a particular emphasis on natural language processing or related fields. The position is part of the prestigious MacGillavry Fellowship programme <https://www.uva.nl/en/about-the-uva/organisation/faculties/faculty-of-scien…> for female scientists, and we invite excellent female candidates working in the above area to apply. Closing date: 30 November 2023 For further information and to apply: https://vacatures.uva.nl/UvA/job/MacGillavry-Fellowship%2C-Assistant-Profes… For any questions, please send an email to e.shutova(a)uva.nl

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1st CFP: Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI) at EACL 2024 in Malta
by Nina Hosseini-Kivanani 20 Oct '23

20 Oct '23

Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI) at EACL 2024 in Malta-March 17-22 2024. Workshop website: https://sites.google.com/view/teicai2024 Submission link: https://softconf.com/eacl2024/TEICAI-2024/ Conversational language technologies (chatbots, voice assistants, and multimodal conversational interfaces) are becoming increasingly complex and common in everyday life. Various language theories (such as speech act theory, politeness theory, conversation analysis, and interaction theory) have started influencing their development. At the same time, the development of these technologies is often driven by technology-related concerns and tends to overlook users’ needs and socio-cultural contexts. This combined with the scarcity of human rights regulation of AI, raises concerns about linguistic discrimination, exclusion, surveillance, and security risks. In addition, training data for conversational AI mostly comes from written rather than interaction-based language data sets and often does not include gestural, social, and emotional aspects that are fundamental to human interaction. In the same vein, Sign Language is rarely facilitated. To promote a positive impact of conversational technology on linguistic diversity and inclusion, it is imperative to strike a balance between technological concerns and socially relevant matters. Our workshop aims to address these issues by using a holistic approach that involves dialogue and collaboration among technologists, linguists, policymakers, and communities involved in the development and commissioning of conversational AI systems. To foster dialogue towards a multidisciplinary approach to the development of conversational AI that can better serve diverse global audiences, we welcome submissions on a range of topics related to language ideologies and language rights, in relation to conversational language technology and AI (e.g. chatbots, voice assistants, multimodal conversational interfaces). Possible topics may include: - Language ideologies in conversational AI - Language rights in conversational AI - Socio-cultural context in conversational AI - Language inclusion in training data for enhancing inclusivity - Incorporating non-verbal communication elements (gestures, emotions) in AI - Sign language and multimodal conversational AI - Audience design in conversational AI (tailoring systems to meet specific audiences’ needs and preferences) - The sense of human agency and identity while interacting with conversational AI - Addressing challenges and opportunities of conversational AI development (case studies, models of effective collaborations) - Linguistic discrimination in conversational AI - Perspectives of communities affected by conversational AI systems: needs, concerns, and expectations We invite authors to submit original, unpublished work (long, short, and position papers). Each submission will be reviewed by 2-3 members of the Programme Committee. Participants should format their submissions using the EACL template, available for LaTeX/Overleaf and all submissions must be in PDF format. All accepted papers (long, short, and position papers) will be included in the workshop proceedings. The submission is through the SoftConf platform, and the platform link will be shared once it's available. The proceedings will be published in the ACL anthology. Important dates: First call for workshop papers: October 20, 2023 Second call for workshop papers: November 15, 2023 Third call for workshop papers: December 11, 2023 Workshop paper due: December 18, 2023 Direct Submission deadline (pre-reviewed ARR & main conference): January 17, 2024 Notification of acceptance: January 20, 2024 Camera-ready papers due: January 30, 2024 Proceedings due: February 7, 2024 Workshop dates: March 21-22, 2024 Organizers: Sviatlana Höhn, LuxAI, Luxembourg Nina Hosseini-Kivanani, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, Luxembourg Dimitra Anastasiou, Luxembourg Institute of Science and Technology, Luxembourg Angela Soltan, State University of Moldova, Moldova Bettina Migge, University College Dublin, Ireland Doris Dippold, University of Surrey, UK Ekaterina Kamlovskaya, Translatables For any preliminary questions, you're welcome to reach out to teicai2024(a)gmail.com .

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2nd Call for Abstracts: Sustainable archiving, exploitation, distribution of social media data - After Twitter
by Tatjana Scheffler 20 Oct '23

20 Oct '23

SECOND CALL FOR ABSTRACTS "SUSTAINABLE ARCHIVING, EXPLOITATION, AND DISTRIBUTION OF DYNAMIC DATA FROM SOCIAL MEDIA - TWITTER AND BEYOND" Conference from 19 - 20 March 2024 at the German National Library (Frankfurt am Main) Website: https://www.dnb.de/EN/twittertagung Social media is both a source of data for and the focus of a range of research approaches in the humanities, social sciences, IT, sciences and life sciences. The development of social media over time makes it a part of our digital cultural heritage, but the process for institutions to archive and document these in ways which fully reflect its detail and complexity is still only rudimentary. One key reason for this is the unique characteristics of the data in terms of media technology, economics, social factors and aesthetics. This confronts researchers, research institutions and cultural heritage institutions with many different challenges in terms of how to archive, catalogue and provide the data for later use. One example of this is Twitter (now known as “X”). The monetisation of the platform’s internal archive (part of ongoing restructuring of the platform) has had a radical impact on research and archiving. While flexible APIs and access opportunities before early 2023 led to a boom in research activity and the creation of comprehensive collections, access for research and archive has been made increasingly difficult since then. Archiving, cataloguing and providing dynamic data from social media present challenges which affect researchers, research institutions, libraries and archives in equal measure, and the best way to solve these problems is through collaboration and partnership. This requires wide-ranging efforts which would be impossible for a single data community or discipline. The aim of the conference is to facilitate networking between libraries, archives, research institutes and researchers in German-speaking countries who are involved in archiving and long-term use of data and digital objects from social media. Conference presentations should focus on the following topics: • The interaction between research and archiving • Research data problems in Tweet-based research caused by the loss of Twitter as a data provider • The status and maintenance of social media from an archival and cultural-historical perspective, e.g. posts, interactions and platform elements • The consolidation of collections, corpora, and holdings such as metadata • Initiatives to encourage archiving and cataloguing of social media data • Concepts for providing derivative datasets from social media and how these can be used • Ethical questions • Legal issues • The possibility of creating a social media data registry Please submit your abstract (max. 1 page / 500 words) and no more than 1 page of biobibliographic data as a PDF in German or English. Up to 20 minutes are available for each presentation, plus 10 minutes for discussion. Submission to: twarchiv(a)dnb.de <mailto:twarchiv@dnb.de> Deadline for submission of abstracts: 31 October 2023 feedback on acceptance of paper: 30 November 2023 Conference The conference will take place from about noon, 19 March 2024 and end in the early evening of 20 March. It will be followed by a data sprint working with a long-term corpus of German Twitter data on 21 & 22 March 2024. More information coming soon. Conference: 19. - 20. March 2024 Data Sprint: 21. - 22. March 2023 Venue: German National Library, Frankfurt am Main Speakers who do not have their own resources for travel may apply for up to €300 to cover travel and accommodation costs. Organisation: Dr. Britta Woldering, Letitia Mölck, German National Library, twarchiv(a)dnb.de <mailto:twarchiv@dnb.de> Programme Committee (in alphabetical order) Stefan Dietze (Heinrich Heine University Düsseldorf) Dimitar Dimitrov (GESIS) Christoph Eggersglüß (Philipps University Marburg, NFDI4Culture) Philippe Genêt (German National Library, Text+) Tatjana Scheffler (Ruhr University Bochum) Claus-Michael Schlesinger (University Library, Humboldt University Berlin) Britta Woldering (German National Library) Cooperation partners: Deutsche Nationalbibliothek BERD@NFDI KonsortSWD NFDI4Culture NFDI4Data Science Text+ --- Jun.-Prof. Dr. Tatjana Scheffler (she/her) GB 5/157 Ruhr-Universität Bochum Fakultät für Philologie, Germanistik Universitätsstraße 150 44801 Bochum Germany Mail: tatjana.scheffler(a)rub.de Web: http://staff.germanistik.rub.de/digitale-forensische-linguistik/ Tel.: +49 234 32-21471

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First CfP: UncertaiNLP @ EACL 2024 - The First Workshop on Uncertainty-Aware NLP
by Tiedemann, Jörg 20 Oct '23

20 Oct '23

First Call for papers: UncertaiNLP - First Workshop on Uncertainty-Aware NLP @ EACL 2024, March 21 or 22, 2024 Website: https://uncertainlp.github.io/ Submission website: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/UncertaiNLP We invite submissions to the first edition of the UncertaiNLP workshop on Uncertainty-Aware NLP, to be held at EACL 2024 on March 21 or 22, 2024. [Important Dates] * Paper submission deadline: December 18, 2023 * Resubmission of already pre-reviewed ARR papers: January 17, 2024 * Notification of acceptance: January 20, 2024 * Camera-ready papers due: January 30 2024 * Workshop dates: March 21-22, 2024 [Introduction] Human languages are inherently ambiguous and understanding language input is subject to interpretation and complex contextual dependencies. Nevertheless, the main body of research in NLP is still based on the assumption that ambiguities and other types of underspecification can and have to be resolved. This workshop will provide a platform for research that embraces variability in human language and aims to represent and evaluate the uncertainty that arises from it, and from modeling tools themselves. [Topics of Interest] UncertaiNLP welcomes submissions to topics related (but not limited) to: * Frameworks for uncertainty representation * Theoretical work on probability and its generalizations * Symbolic representations of uncertainty * Documenting sources of uncertainty * Theoretical underpinnings of linguistic sources of variation * Data collection (e.g., to document linguistic variability, multiple perspectives, etc.) * Modeling * Explicit representation of model uncertainty (e.g., parameter and/or hypothesis uncertainty, Bayesian NNs in NLU/NLG, verbalised uncertainty, feature density, external calibration modules) * Disentangled representation of different sources of uncertainty (e.g., hierarchical models, prompting) * Reducing uncertainty due to additional context (e.g., additional context, clarification questions, retrieval/API augmented models) * Learning (or parameter estimation) * Learning from single and/or multiple references * Gradient estimation in latent variable models * Probabilistic inference * Theoretical and applied work on approximate inference (e.g., variational inference, Langevin dynamics) * Unbiased and asymptotically unbiased sampling algorithms * Decision making * Utility-aware decoders and controllable generation * Selective prediction * Active learning * Evaluation * Statistical evaluation of language models * Calibration to interpretable notions of uncertainty (e.g., calibration error, conformal prediction) * Evaluation of epistemic uncertainty [Submission Guidelines] Authors are invited to submit by December 18, 2023 original and unpublished research papers in the following categories: * Full papers (up to 8 pages) for substantial contributions. * Short papers (up to 4 pages) for ongoing or preliminary work. All submissions must be in PDF format, submitted electronically via OpenReview (https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/UncertaiNLP) and should follow the EACL 2024 formatting guidelines (following the ARR CfP<https://aclrollingreview.org/cfp>: use the official ACL style templates, which are available here<https://github.com/acl-org/acl-style-files>). We also invite authors of papers accepted to Findings to reach out to the organizing committee of UncertaiNLP to present their papers at the workshop, if in line with the topics described above. Resubmission of already pre-reviewed ARR papers will be possible and more information will be sent in the later calls. [Workshop Organizers] * Wilker Aziz, University of Amsterdam * Joris Baan, University of Amsterdam * Hande Celikkanat, University of Helsinki * Marie-Catherine de Marneffe, UCLouvain/FNRS * Barbara Plank, LMU Munich * Swabha Swayamdipta, USC * Jörg Tiedemann, University of Helsinki * Dennis Ulmer, ITU Copenhagen [Program Committee] A list of program committee members will be available on the workshop website. [Contact] For inquiries, please contact uncertainlp(a)googlegroups.com<mailto:uncertainlp@googlegroups.com>

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Call for Bids to Host ESSIR 2026 - Due by 8 March 2024
by Nicola Ferro 20 Oct '23

20 Oct '23

------------------------------------------- Call for Bids to Host ESSIR 2026 Deadline: 8 March 2024 Further details: https://www.essir.eu/ Contact: chair(a)essir.eu ------------------------------------------- The Steering Committee of the European Summer School on Information Retrieval (ESSIR) invites interested parties to submit bids to host ESSIR in 2026. ## INTRODUCTION ## The ESSIR initiative is a self-organized body, whose main mission is to promote research, innovation, and development of information access systems by educating junior and senior researchers, students, professionals, developers, and practitioners on the latest developments in the field, both methodological and technological. The ESSIR event is a week-long event, organized over the summer, where renowned lecturers and students interact together in a number of ways, e.g. lectures, hands-on sessions, flipped classrooms, aimed at the most effective teaching and learning of both basic and advanced topics on information access at large. By targeting information access at large, ESSIR places itself at the crossroad of several neighbors disciplines, namely + Information Retrieval (IR) + Recommender Systems (RecSys) + Natural Language Processing (NLP) + Machine Learning (ML) + Artificial Intelligence (AI) + Data Science (DS) ESSIR gives participants a grounding in the core subjects such as architectures; algorithms; formal theoretical models; evaluation theory and practice, as well as a coverage of recent topics and trends in the field, such as fairness, conversational search, and more. ESSIR is aimed at: advanced undergraduate students; PhD students; post-doctoral researchers; academic and industrial researchers; developers. Traditionally, ESSIR is co-located with accompanying events (such as the Symposium on Future Directions in Information Access, FDIA) that give the participants an excellent opportunity for focused discussions on recent emerging topics in Information Retrieval. Further details on ESSIR can be found at: https://www.essir.eu/ ## PROPOSAL SUBMISSION AND SELECTION ## Parties interested in hosting ESSIR 2026 are invited to submit proposals, in PDF format, by email to the ESSIR Steering Committee chair Nicola Ferro at chair(a)essir.eu by ** 8 MARCH 2024 ** Proposals will be evaluated by the ESSIR Steering Committee. Evaluation will take into account: + venue and timing: attractiveness of the location, hosting facilities, transportation options, accommodation, social program options, targeted event week, key dates, avoidance of timing conflicts with other relevant IR events and large-scale local public events. + scientific program: foundational topics, special lectures, accompanying events (podium discussions, poster sessions, etc.), strategy for acquiring and organizational support of high-quality IR lecturers. Proposals should also take into consideration the scheduling of relevant co-located events (symposiums, workshops) like FDIA. + support for student participants: grants, special conditions for participation and/or accommodation, opportunity to collect ECTS credit points, networking events, opportunities for personal dialogue with ESSIR lecturers. + financial viability: initial draft of the financial plan including major fixed and variable costs, budget cut-off points, strategy of sponsoring acquisition. + plans for organisation: local organizer consortium and its expertise in event/hosting management, key roles and initial responsibility assignments. Analysis of major risks (such as appropriate number of participants, commitment of key lecturers, sufficient amount of sponsoring) and reasonable fallback options. + dissemination and publicity: plans for reaching the target audience through mailing lists, direct contacts to research groups, scientific social networks, Web 2.0 channels, Web presence. Opportunities to share ESSIR materials within research community: slides, video lectures, scripts, post-proceedings, etc. The ESSIR charter and a bid template is available at: https://www.essir.eu/assets/charter/essir-sc-charter.pdf ## INQUIRIES AND FURTHER INFORMATION ## For any inquiries or if any additional information is needed, please write to chair(a)essir.eu ## ESSIR STEERING COMMITTEE ## - Nicola Ferro, University of Padua, Italy [chair] - Maristella Agosti, University of Padua, Italy - Catherine Berrut, Université Grenoble Alpes, France - Pablo Castells, Universidad Autónoma de Madrid, Spain and Amazon, USA - João Magalhães, Universidade Nova de Lisboa, Portugal - Iadh Ounis, University of Glasgow, UK - Gabriella Pasi, University of Milano-Bicocca, Italy - Florina Piroi, TU Wien, Austria

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"Aristotelian: 'justice in exchange'": some sort of subjective utility?, "exchange value" coefficient? or "labour comparison" as an adjusting societal korpus factor based on techne? ...
by Albretch Mueller 19 Oct '23

19 Oct '23

On page 31 of Henry William Spiegel's book: "The growth of economic thought" (the 3rd edition is the one I got): https://archive.org/details/growthofeconomic0000spie_r1d4 https://www.csus.edu/indiv/d/dowellm/econ101/spiegel 1(1).pdf there are two statements (very questionably) written as mathematical equations, one of which, Spiegel said, has been claimed and re-interpreted throughout the ages in their own ways by different economic schools of thought mostly in utilitarian or "labour theory of value" kinds of ways. Aristotle analytically (and semi-poetically) wrote his "justice in exchange" (in previous times people tended to mind morality in a more involved way) as: ((A: builder)/(B: shoemaker) = X ((D: house)/(D: shoe)) and on page 33 there is an even more questionable "clarifying" deduction based on that statement. AFAIK, no one knows exactly what happened around 600 BC which made Ancient Greece intellectually awaken into a new age. Whatever happened, we know that they were obsessed with two themes: 1) like ratios: from Archimedes' law of the lever, to the kinds of metaphors their commanders used as battle cries, to how Aristotle himself "explained" poetry (which Eco thinks is the only substantial statement ever since made about the topic) Ancient Greeks understood everything through like ratios; 2) they also wondered incessantly about the subjectively moral, "objectively" social and divine aspects relating to techne from pre-Socratic times to its best implementation in Euclid's Elements (three centuries later). I am not claiming to be a mind reader, but based on how he used like ratios for his own sharp and powerful analysis of various subjects, I think, on the left side of that equation, he can't possibly be dividing "builders" by "shoemakers" (trying to establish a meaningful proportion), but the time it takes for them to finish an unit of work and on the right, determining proportion he is considering the qualitatively different kind of techne they each use to go about their business and since the Greek would only compare like ratios, he introduced that adjusting factor "X" which has made scholars wonder about it ever since. ~ Frederick Gustav Weiss in his thoroughgoing "Hegel's critique of Aristotle's philosophy of mind": https://www.amazon.com/Hegels-critique-Aristotles-philosophy-mind/dp/B0006C… https://philpapers.org/rec/WEIHCO shows how Hegel's concepts and notions resemble Aristotle's and how Hegel's trains of thought could be interpreted as a continuation of "the Philosopher's" if not exactly as a chronicler or commentator, definitely how Hegel critically re-engages Aristotle's work as no one had done after the Renaissance. About Aristotle Weiss says: page 33: ... The sense, for Aristotle, is not the organ as such, nor it is its relation or contact with objective qualities a "physical" or mechanical interaction as Ross seemed to suggest.(94) The potential sense is more like a ratio which is not yet the ratio of anything. The actual sense is an "enmattered" ratio; that is, one which is determined by its factors, and which simultaneously holds these factors, e.g., white and black, page 34: etc., in such a way as to allow their discrimination, and this without changing them. The sense is a mean which unfailingly establishes itself with respect to any two contrary qualities within the same genus. Which, since our semiosis is the only "enmattered" medium (à la de Saussure) simultaneously holding and allowing the discrimination of all meaningful factors of "any two contrary qualities within the same genus", I take as meaning that that factoring "X" is essentially semiotic in nature, linking in a societally-wide corpus kind of way qualitatively different kinds of techne, thereby establishing a fair exchange value between two different things and manifestingly showing the necessity for and hows of money, which (in the combined rates way I explained in a previous post about how NLP folks use "tensors") we used as equitable aspect, not different to how we use words to go about our respective businesses. As I interpret their philosophy, Anaxagoras "nous", techne, that "Aristotelian: 'justice in exchange'" equation, Leibniz' "best of all possible worlds" ideas, Smith's "invisible hand" (previously discussed to exhaustion by medieval philosophers) and Marx' "socially necessary labour time" are all aspects relating to the same thing. At the risk of being told that I am myself, "self-servingly" trying to rationalize such readings into Aristotle's analysis, I think that this is the first explicitly clear hint to our mind-body link being our semiosis. I privately (via email) asked Chalmers about such matters and he told me he didn't know of such approaches and I publicly asked Eco during a conference at the UN about it and he even became impatient, seemed to have gotten upset with me/about such ideas (I even tried to speak to him privately after his talk to no avail). There is simply no way on earth that no one hasn't noticed such interrelationships and how they relate to corpora research. I am sure that some of you have stumbled onto such themes and wondered about them. As a TI, here in "'the' land of 'the' 'free', ..." I can't even visit a library. There isn't anything illegal about it, it would be "fair use". Could you do me the favor to send my way or point to me to any prior art relating to such topics (essentially how corpora research and the mind-body link intrinsically relate). I am writing a paper on such matters, but I don't have access to papers that (most of?) you do. They tell me "I am not a researcher" so they can't grant me access to such repositories of previous art. Access to such papers is prohibitively expensive to me right now and at times you pay good money for a book without any substance whatsoever. There is this protagonistic tendency to write whatever nonsense crosses one's mind (apparently to claim priority) as if there were something wrong with Aristotle's approach. In a "footnotes to Plato" kind of way, I think timely (from "'more' to 'post-'modern") progress is a functional illusion. Aristotle's analysis is fine, we just can't match his intellectual prowess. Thank you, lbrtchx

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CfP: CIKM 2023 (online)
by Ingo Frommholz 19 Oct '23

19 Oct '23

ACM CIKM 2023 http://cikm2023.org/ CIKM 2023 in Birmingham, UK, starts in a few days (21-25 October, 2023), and it is still possible to register for virtual attendance! You will be able to attend the keynote talks and main room talks live; all other talks will be further provided as online encore ones on request at mutually agreed times after the conference. More at https://cikm2023.org/vgeneralreg/Site/Register. The conference will contain numerous presented papers of high quality, applied and theoretical research findings. CIKM has a strong tradition of speakers devoted to emerging areas of database management, IR, AI, NLP, and related fields. An Industry Day will bring together practitioners and academics. We are very happy to present the following keynote speakers: Chirag Shah (University of Washington): Generative AI and the Future of Information Access Yulan He (King’s College, London): Interpretable Natural Language Understanding Steffen Staab (University of Stuttgart & University of Southampton): Knowledge Graphs for Knowing More and Knowing for Sure Please see https://cikm2023.org/keynote-speakers for details and https://cikm2023.org for more information. -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science ACM CIKM 2023 General Chair Head of Data, AI, Interaction, Retrieval and Language Group http://dairel.org Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Twitter: @iFromm | Mastodon: @ingo@idf.social PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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First International Conference on Natural Language Processing
by Dola Mullage, Damith P. 19 Oct '23

19 Oct '23

First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) Lancaster University, Lancaster 29-30 July 2024 First announcement Recent advances in Natural Language Processing (NLP), Deep Learning and Large Language Models have resulted in improved performance of applications benefiting from these techniques. In particular, in there has been a growing interest of employing AI methods in different Cyber Security applications. In today's digital world Cyber Security has emerged and its importance has magnified, becoming a priority for both individual users and organisations. With the exponential growth of the volume of information online, traditional security approaches often fall short in identifying and preventing evolving security threats. The inadequacy of conventional security frameworks highlights the need for innovative solutions that can effectively navigate the complex digital landscape for ensuring robust security. NLP and AI in Cyber Security have vast potential to significantly enhance threat detection and mitigation by fostering the development of advanced security systems for autonomous identification, assessment, and response to security threats in real-time. Recognising this challenge and the capabilities of NLP and AI approaches to fortify cyber security systems, the First International Conference on Natural Language Processing (NLP) and Artificial Intelligence (AI) for Cyber Security (NLPAICS’2024) offers to act as a meeting point for researchers working on NLP and AI methods for Cyber Security and welcomes contributions reporting latest solutions based on NLP and AI to mitigate the risks when processing digital information. Conference topics The conference invites submissions on a broad range of topics related to the employment of NLP and AI (and in general, language studies and models) for Cyber Security including but not limited to: Societal and Human Security and Safety * Content Legitimacy and Quality * Detection and mitigation of hate speech and offensive language * Fake news, deepfakes, misinformation and disinformation * Detection of machine generated language in multimodal context (text, speech and gesture) * User Security and Safety * Cyberbullying and identification of internet offenders * Monitoring extremist fora * Suicide prevention * Technical Measures and Solutions * Social engineering identification, phishing detection * NLP for risk assessment * Controlled languages for safe messages * Prevention of malicious use of ai models * Forensic linguistics * Human Factors in Cyber Security Speech Technology and Multimodal Investigations for Cyber Security * Voice-based security: Analysis of voice recordings or transcripts for security threats * Detection of machine generated language in multimodal context (text, speech and gesture) * NLP and biometrics in multimodal context Data and Software Security * Cryptography * Digital forensics * Malware detection, obfuscation * Models for documentation * NLP for data privacy and leakage prevention (DLP) * Addressing dataset “poisoning” attacks Human-Centric Security and Support * Natural language understanding for chatbots: NLP-powered chatbots for user support and security incident reporting * User behaviour analysis: Analysing user-generated text data (e.g., chat logs and emails) to detect insider threats or unusual behaviour * Human supervision of technology for Cyber Security Anomaly Detection and Threat Intelligence * Text-Based Anomaly Detection * Identification of unusual or suspicious patterns in logs, incident reports or other textual data * Detecting deviations from normal behaviour in system logs or network traffic * Threat Intelligence Analysis * Processing and analysing threat intelligence reports, news, articles and blogs on latest Cyber Security threats * Extracting key information and indicators of compromise (IoCs) from unstructured text Systems and Infrastructure Security * Systems Security * Anti-reverse engineering for protecting privacy and anonymity * Identification and mitigation of side-channel attacks * Authentication and access control * Enterprise-level mitigation * NLP for software vulnerability detection * Malware Detection through Code Analysis * Analysing code and scripts for malware * Detection using NLP to identify patterns indicative of malicious code Financial Cyber Security * Financial Fraud Detection * Algorithmic Trading Security * Secure Online Banking * Risk Management in Finance * Financial Text Analytics Ethics, Bias, and Legislation in Cyber Security * Ethical and Legal Issues * Digital privacy and identity management * The ethics of NLP and speech technology * Explainability of NLP and speech technology tools * Legislation against malicious use of AI * Regulatory issues * Bias and Security * Bias in Large Language Models (LLMs) * Bias in security related datasets and annotations Datasets and resources for Cyber Security Applications Specialised Security Applications and Open Topics * Intelligence applications * Emerging and innovative applications in Cyber Security Submissions and Publication The first call for papers (to be distributed in November 2023) will provide details on the types of submissions and the submission procedure. The first call will also provide information on the conference schedule, including submission and notification deadlines. Each submission will be reviewed by three members of the Programme Committee. All accepted papers will be included in the conference e-proceedings which will be available at the conference. The NLPAICS’2024 organisers will work with ACL to secure their inclusion in the ACL Anthology. Organisation The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) is organised by the Lancaster University UCREL NLP research group. Further information and contact details This is a first announcement only. The first Call for Papers is expected in November 2023 and registration will be open as from March 2024. The follow-up calls will list keynote speakers, conference chairs and members of the programme committee once confirmed. The conference website and the conference email address will be available soon. For any initial queries, please feel free to contact Prof Ruslan Mitkov on r.mitkov(a)lancaster.ac.uk.

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Re: [External] Re: NIF: NLP Interchange Format
by Bilgin, Orhan (Postgraduate Researcher) 18 Oct '23

18 Oct '23

I am sorry, I forgot to mention that the strings in my example are Turkish words, and the lemma AĞAÇ- corresponds to the lemma TREE- in English, which is a label that allows me to talk about the only meaningful thing that is common to the set {tree, trees}. Best, Orhan On 17 Oct 2023 20:44, "Bilgin, Orhan (Postgraduate Researcher)" <o.bilgin(a)lancaster.ac.uk> wrote: Dear Ada, I agree that lemmatisation is a construct and is not a universal method for linguistic analyses, but I don't understand why it is imperative that I wean myself from using lemmas. What is it that restricts my freedom to invent the lemma (a non-universal construct) AĞAÇ-, for example, to refer to the one and only "meaningful thing" that is common to the very many (theoretically infinite, practically probably around 10,000) strings including ağaç, ağacı, ağaca, ağaçlar, ağacımızdaki, ağaçlandırılabilmesinden, ağaçsızlaşmasını, etc. etc.? How (and why) am I supposed to talk about that very large set without using a label for it? Best, Orhan Bilgin On 17 Oct 2023 18:36, Ada Wan via Corpora <corpora(a)list.elra.info> wrote: This email originated outside the University. Check before clicking links or attachments. Dear Christian Re your PS: one doesn't need to debate the use/future of lemmatization, though I'd welcome such as part of scholarship. For those experienced in matters in/of Linguistics, it should be clear that lemmatization was simply a cconstruct, a entry-level philological exercise (esp. for those from Computer Science with less of a background in Linguistics and language(s)). It has been sad that some have picked up the habit of using lemmatization as a heuristic (though for what, specifically?) and might have become, apparently, too addicted to it to let it go. It is imperative that one weans themselves from such habit. Methods for linguistic morphology, e.g. (morphological) parsing or stemming, are not a universal decomposition scheme, nor a universal method for language/linguistic analyses. Also important is to bear in mind is that neither linguistic morphology nor lemmas/lemmata doesn't/don't have that long of a history. Thanks for being open-minded enough to read this far. Best Ada

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NIF: NLP Interchange Format
by Hugh Paterson III 17 Oct '23

17 Oct '23

Greetings, I am working on a project which is using lemmatization. I'm wondering how people have approached combining NIF and lemmatization. are there any "blessed" extensions or ontologies? I'm not seeing nif:lemma as an option within the nif ontology... though I am likely missing something. Kind regards, - Hugh

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Job Posting: Permanent Research Scientist and Assistant Professor positions in Nancy, France
by Slim Ouni 17 Oct '23

17 Oct '23

Job Posting: Permanent Research Scientist and Assistant Professor positions in Nancy, France The Multispeech team (https://team.inria.fr/multispeech <https://team.inria.fr/multispeech>) is seeking exceptional candidates for permanent (i.e., tenured) Research Scientist and Assistant Professor positions. A joint team of University of Lorraine, Inria, and CNRS, Multispeech focuses on spoken human-machine interaction, with particular attention to (1) data-efficient and privacy-preserving machine learning for speech processing, (2) information extraction from multimodal (i.e., acoustic, facial, articulatory, and gestural) speech, and (3) multimodal speech synthesis. We are currently expanding towards multimodal dialog, aiming to break the classical dialog management scheme to dynamically account for the user's behavior during the machine's response. Our research crystallizes into a software platform for the development of embodied voice assistants and aims to achieve concrete economic and social impact in the fields of healthcare and education. Situated at the heart of Europe, just 90 minutes from Paris and nestled between Germany, Belgium, and Luxembourg, Nancy is a city celebrated for its unique architectural style and gastronomy. Home to a vibrant student population of 50,000, the city offers many creative, cultural, sports, and outdoor activities. Notably, Nancy is recognized as one of the most affordable and environmentally friendly cities in France. If you're interested in joining us, please contact us as soon as possible. Candidates with expertise in natural language processing and dialog are particularly welcome. These positions are an excellent opportunity to work in a dynamic and collaborative environment where you will have the opportunity to make a significant contribution. Research Scientist positions do not involve teaching duties. Contact : Slim.Ouni(a)loria.fr <mailto:Slim.Ouni@loria.fr> <mailto:Slim.Ouni@loria.fr <mailto:Slim.Ouni@loria.fr>> Feel free to share this offer with anyone who might be interested.

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October 2023 Newsletter - LDC
by Penn LDC 16 Oct '23

16 Oct '23

In this newsletter: Membership Year 2024 publication preview Fall 2023 data scholarship recipients New publications: AIDA Scenario 1 Practice Topic Source Data<https://catalog.ldc.upenn.edu/LDC2023T11> AIDA Scenario 1 and 2 Reference Knowledge Base<https://catalog.ldc.upenn.edu/LDC2023T10> ________________________________ Membership Year 2024 publication preview The 2024 membership year is approaching and plans for next year's publications are in progress. Among the expected releases are: * KASET: 147 hours of Sorani Kurdish and Kurmanji Kurdish conversational telephone speech and web broadcasts, 65 hours transcribed * AIDA topic source data and annotations: multimodal source data and annotations in multiple languages (Russian, Ukrainian, English, Spanish) for information and entity extraction * RATS Low Speech Density Data: 87 hours of Levantine Arabic, English, Persian, Pushto, and Urdu audio files selected from RATS speech activity detection and keyword spotting data sets, also including communications systems sounds and silence * Call My Net 1: 364 hours of conversational telephone speech recordings in Tagalog, Cebuano, Cantonese, and Mandarin from speakers in the Philippines and China using various handsets under diverse noise conditions * Ravnursson Faroese Speech and Transcripts: 109 hours of read speech from 433 native speakers with transcripts * Diaspora Tibetan Speech: elicited, read, and spontaneous speech from 73 native Tibetan speakers in Katmandu's diaspora Tibetan community, some recordings transcribed * IARPA MATERIAL language packs: conversational telephone speech, transcripts, English translations, annotations, and queries in multiple languages (e.g., Bulgarian, Somali, Georgian) * LORELEI: representative and incident language packs containing monolingual text, bi-text, translations, annotations, supplemental resources, and related tools in various languages (e.g., Farsi, Hungarian, Hindi, Amharic) Check your inbox in the coming weeks for more information about membership renewal. Fall 2023 data scholarship recipients Congratulations to the recipients of LDC's Fall 2023 data scholarships: Nessma Diab: Ain-Shams University (Egypt): Pre-PhD student, Linguistics. Nessma is awarded copies of CALLHOME Egyptian Arabic Speech LDC97S45 and CALLHOME Egyptian Arabic Transcripts LDC97T10 for her work in machine translation. Soheir Elssakkout: Ain-Shams University (Egypt): PhD candidate. Soheir is awarded copies of Turkish Broadcast News and Transcripts LDC2012S06 and Middle East Technical University Turkish Microphone Speech v 1.0 LDC2006S33 for her work in speech recognition. Matheus Franco: Witten/Herdecke University (Germany): Post-doctoral scholar, Faculty of Management, Economics and Society. Matheus is awarded a copy of Avocado Research Email Collection LDC2015T03 for his work in emotional foundations of dynamic capabilities. Kamal Jarrar: Birzeit University (Palestine): Master's student, Applied Statistics and Data Science Program. Kamal is awarded copies of Arabic Gigaword Fifth Edition LDC2011T11 and BOLT Arabic Discussion Forums LDC2018T10 for his work in part-of-speech tagging for dialectal Arabic. Minkyoung Kim: Yonsei University (Korea); PhD candidate, Graduate School of Information. Minkyoung is awarded a copy of The New York Times Annotated Corpus LDC2018T19 for her work in event extraction and semantic event annotation. Humaira Mehmood: Fatima Jinnah Women University (Pakistan): Master's student, Computer Sciences. Humaira is awarded a copy of ARL Urdu Speech Database, Training Data LDC2007S03 for her work in machine translation. Diyam Mousa: Birzeit University (Palestine): PhD candidate, Computer Science Department. Diyam is awarded copies of Arabic Treebank: Part 3 v. 3.2 LDC2010T08 and BOLT Egyptian Arabic Treebank - Discussion Forum LDC2018T23 for her work in morphological tagging for dialectal Arabic. For information about the program, visit the Data Scholarships page<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>. ________________________________ New publications: AIDA Scenario 1 Practice Topic Source Data<https://catalog.ldc.upenn.edu/LDC2023T11> was developed by LDC and is comprised of 1511 files (text, image, and video) from English, Russian, and Ukrainian web sources. Each phase of the AIDA program centered on a specific scenario, or broad topic area, with related subtopics designated as either practice subtopics or evaluation subtopics. The Phase 1 scenario focused on political relations between Russia and Ukraine in the 2010s. This corpus constitutes the full set of topic-focused documents for Phase 1 practice subtopics. Data was collected from web sources by a combination of automatic and manual processes. The DARPA AIDA (Active Interpretation of Disparate Alternatives) program aimed to develop a multi-hypothesis semantic engine to generate explicit alternative interpretations of events, situations, and trends from a variety of unstructured sources. LDC supported AIDA by collecting, creating and annotating multimodal linguistic resources in multiple languages. The knowledge base for entity detection and linking annotation for all AIDA Scenario 1 and 2 corpora is available separately as AIDA Scenario 1 and 2 Reference Knowledge Base (LDC2023T10)<https://catalog.ldc.upenn.edu/LDC2023T10>. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * AIDA Scenario 1 and 2 Reference Knowledge Base<https://catalog.ldc.upenn.edu/LDC2023T10> contains the English knowledge base (KB) used for all AIDA entity linking annotation in Scenario 1 (Russia-Ukraine Relations) and Scenario 2 (Crisis in Venezuela). The KB content was drawn from GeoNames, the CIA World Leaders List, and the CIA World Factbook and was supplemented with manually-created KB entries developed by LDC specifically for AIDA data. This knowledge base supported the AIDIA entity detection and linking task for 13 entity types: GPE (Geo-Political Entity), LOC (Location), PER (Person), ORG (Organization), FAC (Facility), MHI (Medical/Health Issue), WEA (Weapon), SID (Side), COM (Commodity), CRM (Crime), LAW (Law), VEH (Vehicle), and BAL (Ballot). 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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PhD studentships in NLP, Speech Technology and Cognitive Science at the University of Edinburgh
by Alex Lascarides 16 Oct '23

16 Oct '23

PHD STUDENTSHIPS IN COMPUTATIONAL LINGUISTICS, SPEECH TECHNOLOGY AND COGNITIVE SCIENCE Institute for Language, Cognition and Computation School of Informatics University of Edinburgh The Institute for Language, Cognition and Computation (ILCC) at the University of Edinburgh invites applications for three-year PhD studentships starting in September 2024.. ILCC is dedicated to the pursuit of basic and applied research on computational approaches to language, communication and cognition. Primary research areas include: * Natural language processing and computational linguistics * Machine Translation * Speech technology * Dialogue, multimodal interaction, language and vision * Computational Cognitive Science , including language and speech, decision-making, learning and generalization * Social Media and Computational Social Science * Human-Computer interaction, design informatics, assistive and educational technology * Information retrieval and visualization Approximately 10 studentships from a variety of sources are available, covering both maintenance at the research council rate of GBP 19,162 (2024/25 rates) per year and tuition fees. Awards increase every year, typically with inflation. Studentships are available for UK, EU, and non-EU nationals. Applicants should have a strong undergraduate degree or equivalent in computer science, cognitive science, AI, or a related discipline. For a list of academic staff at ILCC with research areas, and for a list of indicative PhD topics, please consult: http://web.inf.ed.ac.uk/ilcc/people/academic-senior-research-staff http://www.ilcc.inf.ed.ac.uk/study/possible-phd-topics-in-ilcc Details regarding the PhD programme and the application procedure can be found at: http://www.ed.ac.uk/informatics/postgraduate/research-degrees/phd There are TWO DEADLINES for applications to receive full consideration: round 1: 24th November 2023 round 2: 26th January 2024 The link to the application portal is: https://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/bySchoo… We strongly recommend that non-UK applicants submit their applications in round 1, to maximise their chances of funding. Please direct inquiries to the PhD admissions team at ilcc-admissions(a)inf.ed.ac.uk.

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CFP-The Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages -(DravidianLangTech-2024) at EACL 2024-reg
by Bharathi Raja Asoka Chakravarthi 14 Oct '23

14 Oct '23

Apologies for cross posting The Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages -(DravidianLangTech-2024) at EACL 2024 Link: https://sites.google.com/view/dravidianlangtech-2024/home The development of technology increases our internet use, and most of the global languages have adapted themselves to the digital era. However, there are many regional, under-resourced languages that face challenges as they still lack developments in language technology. One such language family is the Dravidian family of languages. Dravidian languages <https://en.wikipedia.org/wiki/Dravidian_languages> are primarily spoken in south India and Sri Lanka. Pockets of speakers are found in Nepal, Pakistan, Malaysia, other parts of India and elsewhere in the world. The Dravidian languages, which are 4,500 years old and spoken by millions of speakers, are under-resourced in speech and natural language processing. The Dravidian languages are divided into four groups: South, South-Central, Central, and North groups. Dravidian morphology is agglutinating and exclusively suffixal. Syntactically, Dravidian languages are head-final and left-branching. They are free-constituent order languages. To improve access to and production of information for monolingual speakers of Dravidian languages, it is necessary to have speech and language technologies. The aim of these workshops is to save the Dravidian languages from extinction in technology. This is the first workshop on speech and language technologies for Dravidian languages. The broader objectives of DravidianLangTech-2024 will be - To investigate challenges related to speech and language resource creation for Dravidian languages. - To promote research in speech and language technology in Dravidian languages. - To adopt appropriate language technology models which suit Dravidian languages. - To provide opportunities for researchers from the Dravidian language community from around the world to collaborate with other researchers. Our workshop theme focuses on being more inclusive and providing a platform for researchers to create Language Technologies (LT) of a more inclusive nature. We hope that through these engagements we can develop LT tools to be more inclusive of everyone, including marginalized people. Call for Papers DravidianLangTech-2024 welcomes theoretical and practical paper submission on any Dravidian languages (Tamil, Kannada, Malayalam, Telugu, Tulu, Allar, Aranadan, Attapadya, Kurumba, Badaga, Beary, Betta Kurumba, Bharia, Bishavan, Brahui, Chenchu, Duruwa, Eravallan, Gondi, Holiya, Irula, Jeseri, Kadar, Kaikadi, Kalanadi, Kanikkaran, Khiwar, Kodava, Kolami, Konda, Koraga, Kota, Koya, Kurambhag Paharia, Kui, Kumbaran, Kunduvadi, Kurichiya, Kurukh, Kurumba, Kuvi, Madiya, Mala Malasar, Malankuravan, Malapandaram, Malasar, Malto, Manda, Muduga, Mullu Kurumba, Muria, Muthuvan, Naiki, Ollari, Paliyan, Paniya, Pardhan, Pathiya, Pattapu, Pengo, Ravula, Sholaga, Thachanadan, Toda, Wayanad Chetti, and Yerukala) that contributes to research in language processing, speech technologies or resources for the same. We will particularly encourage studies that address either practical application or improving resources for a given language in the field. We invite submissions on topics that include, but are not limited to, the following: - Code-mixing/ Code-switching - Cognitive Modeling and Psycholinguistics - Computer-assisted language learning (CALL) - Corpus development, tools, analysis and evaluation - COVID-19 alert, NLP Applications for Emergency Situations and Crisis Management - Equality, Diversity, and Inclusion - Fake New, Spam, and Rumor Detection - Hate speech detection and Offensive Language Detection - Lexicons and Machine-readable dictionaries - Linguistic Theories, Phonology, Morphological analysis, Syntax and Semantics - Machine Translation, Sentiment Analysis, and Text summarization - Multimodal Analysis- Image Captioning and Video Captioning - Speech technology and Automatic Speech Recognition Important dates - Workshop paper due: *December 12, 2023* - Direct Submission deadline (pre-reviewed ARR & main conference): January 17, 2024 - Notification of acceptance: January 15, 2024 - Camera-ready papers due: January 25 2024 - Workshop dates: March 21-22, 2024 *Organizers* - Bharathi Raja Chakravarthi <https://www.universityofgalway.ie/our-research/people/computer-science/bhar…>, School of Computer Science, University of Galway, Ireland - Ruba Priyadharshini <https://scholar.google.co.in/citations?user=QD-mJd4AAAAJ&hl=en>, Gandhigram Rural Institute-Deemed to be University, India - Anand Kumar M <https://infotech.nitk.ac.in/faculty/anand-kumar-m>, Department of Information Technology, National Institute of Technology Karnataka Surathkal, India. - Sajeetha Thavareesan <https://fsc.esn.ac.lk/computing/academic-staff/s-thavareesan>, Department of Computing ,Faculty of Science, Eastern University, Sri Lanka. - Elizabeth Sherly <https://duk.ac.in/personnel/dr-elizabeth-sherly/>, Indian Institute of Information Technology and Management-Kerala, India. - Rajeswari Natarajan <https://www.sastra.edu/staffprofiles/schools/src.php?staff_id=C754>, Srinivasa Ramanujan Centre, Department of Computer Science, SASTRA University, India. - Manikandan Ravikiran <https://manikandan-ravikiran.github.io/>, Hitachi India Pvt Ltd. Submission Link: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/DravidianLangTe… with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://www.universityofgalway.ie/our-research/people/bharathirajaasokachak…

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Re: NIF: NLP Interchange Format
by Hugh Paterson III 13 Oct '23

13 Oct '23

Hi Ada good to hear from you, The project is called: "The Bridge". https://bridge.haverford.edu/ I am not the PI. The project has been in existence for about 12 years. I was invited to become involved through my Drexel LEADING Fellowship. Here is a paper we published this summer: https://hughandbecky.us/Hugh-CV/publication/2023-bridging-corpora/4LR_pre_p… The Bridge is a linked data application supporting curriculum development. It was developed with Latin in mind, but has been extended to Greek as well. It quickly helps instructors and students find new vocabulary words in newly assigned texts, based on texts they have already encountered in their curriculum. The current workflow takes a variety of texts from several sources and then stores the lemmas for comparison across texts and broad stats generation. I see value in modeling the whole text not just the lemmas as this may allow future services. So, while NIF could model the whole text, the current operational activities really only involve using lemmas. To move forward in a linked data model we need to support current operations. More broadly, I see the lemmas as an "annotation" or abstraction layer whereas I would see the actual content of texts as the "source data". Using linked data and lemmas allows the bridge to connect via lemmas to LiLa data. https://lila-erc.eu/ Kind regards, Hugh On Tue, Oct 10, 2023 at 3:39 AM Ada Wan <adawan919(a)gmail.com> wrote: > Dear Hugh > > What project are you working on that still requires lemmatization? Would > it not be a better approach to use (sub-)character n-grams (esp. if you are > doing textual analysis/interpretation, vs. processing which can be > byte-based) to decipher what segments would occur most frequently first and > (re-)analyze from there? > I understand there has been a habit in the "language space" to call > certain segments "lemmata". I am curious to know what one can do as a > community, though, to transition to more general methods (and > interpretations on "language"). > > Thanks and best > Ada > > > On Tue, Oct 10, 2023 at 12:15 AM Hugh Paterson III via Corpora < > corpora(a)list.elra.info> wrote: > >> Greetings, >> >> I am working on a project which is using lemmatization. I'm wondering how >> people have approached combining NIF and lemmatization. are there any >> "blessed" extensions or ontologies? >> I'm not seeing nif:lemma as an option within the nif ontology... though I >> am likely missing something. >> >> Kind regards, >> - Hugh >> _______________________________________________ >> Corpora mailing list -- corpora(a)list.elra.info >> https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ >> To unsubscribe send an email to corpora-leave(a)list.elra.info >> >

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CFP-Fourth Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI-2024) at EACL 2024-reg
by Bharathi Raja Asoka Chakravarthi 13 Oct '23

13 Oct '23

Apologies for cross posting *Fourth Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI-2024) at EACL 2024* *Website link: https://sites.google.com/view/lt-edi-2024/ <https://sites.google.com/view/lt-edi-2024/> * Equality, Diversity and Inclusion (EDI) is an important agenda across every field throughout the world. Language as a major part of communication should be inclusive and treat everyone with equality. Today’s large internet community uses language technology (LT) and has a direct impact on people across the globe. EDI is crucial to ensure everyone is valued and included, so it is necessary to build LT that serves this purpose. Recent results have shown that big data and deep learning are entrenching existing biases and that some algorithms are even naturally biased due to problems such as ‘regression to the mode’. Our focus is on creating LT that will be more inclusive of gender, racial, sexual orientation, persons with disability. The workshop will focus on creating speech and language technology to address EDI not only in English, but also in less resourced languages. The broader objective of LT-EDI-2024 will be - To investigate challenges related to speech and language resource creation for EDI. - To promote research in inclusive LT. - To adopt and adapt appropriate LT models to suit EDI. - To provide opportunities for researchers from the LT community around the world to collaborate with other researchers to identify and propose possible solutions for the challenges of EDI. Our workshop theme focuses on being more inclusive and providing a platform for researchers to create LT of a more inclusive nature. We hope that through these engagements we can develop LT tools to be more inclusive of everyone, including marginalized people. *Call for Papers:* Our main theme in this workshop is equality, diversity, and inclusivity in LT. We invite researchers and practitioners to submit papers reporting on these issues and datasets to avoid these issues. We also encourage qualitative studies related to these issues and how to avoid them. LT-EDI-2024 welcomes theoretical and practical paper submissions on any languages that contribute to research in Equality, Diversity and Inclusion. We will particularly encourage studies that address either practical application or improving resources. *Topics of interest include, but are not limited to:* - Data set development to include EDI - Gender inclusivity in LT - LGBTQ+ inclusivity in LT - Racial inclusivity in LT - Persons with disability inclusivity in LT - Speech and language recognition for minority groups - Unconscious bias and how to avoid them in natural language processing, machine learning and other LT technologies. - Tackling rumours and fake news about gender, racial, and LGBTQ+ minorities. - Tackling discrimination against gender, racial, and LGBTQ+ minorities. Submissions: At LTEDI we accept the following submission types: - Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to 8 pages of content, plus unlimited pages for references and appendices. Upon acceptance, long papers will be given one additional page of content (i.e. up to 9 pages) in the proceedings so that reviewers’ comments can be taken into account. - Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages. Short papers may consist of up to 4 pages of content, plus unlimited references and appendices. Upon acceptance, short papers will be given one additional page of content (i.e. up to 5 pages) in the proceedings so that reviewers’ comments can be taken into account. - Poster and demo submissions should be no longer than 4 pages (plus unlimited number of pages for references and ethics/broader impact statement). More information on submission can be found at https://sites.google.com/view/lt-edi-2024/submission For electronic submission of all papers, please use: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/LTEDI *Important Dates* - Workshop paper due: December 12, 2023 - Direct Submission deadline (pre-reviewed ARR & main conference) January 17, 2024 - Notification of acceptance: January 15, 2024 - Camera-ready papers due: January 25 2024 - Workshop dates: March 21-22, 2024 with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://www.universityofgalway.ie/our-research/people/bharathirajaasokachak…

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[Open Position] Research Engineer - Machine Learning and Large Language Models - EURECOM
by Raphaël Troncy 13 Oct '23

13 Oct '23

[Apologies for Cross-Posting] The Data Science Department at EURECOM, Sophia-Antipolis France, invites applications for a Research Engineer position. The candidate will work as part of a department-wide project, which aims at developing our research activities on large language models (LLMs). We are looking for fresh, ambitious and hard-working software engineers with a clear passion for turning ideas in the field of machine learning into fully-functional prototypes, demonstrators, and systems, using cutting edge machine learning libraries, and computing facilities. The position is funded by a French National project on Artificial Intelligence, and targets the development of LLMs in several flavors. Our first goal is to target an audience of EURECOM staff, including researchers and administration, to offer novel conversational agents that can use internal, multimodal information to interact with users for Q&A, summarization, in-filling and many other tasks. A second ambitious goal is to offer innovative educational services to EURECOM students, by designing novel conversational agents instructed to follow Socratic interactions. Such conversational agents will be augmented with teaching material (lecture notes, slides, video lectures, code from labs, etc…) which should be used and referenced in conversations. The successful candidate will work in close relation with professors, postdoctoral researchers and Ph.D. candidates, and will lead contributions to: (i) the implementation and deployment of state-of-the art, open-source LLMs, including inner components (novel attention mechanisms, novel tokenization schemes, key-value caching, to name a few) and outer components (such as retrieval augmented generation) (ii) the definition of appropriate methodologies for training and, most importantly, fine-tuning of our internal LLMs, (iii) the definition of appropriate benchmarks and validation methodologies, and (iv) communication to a public of developers, engineers and practitioners through technical blogs, online demonstrators (e.g. HuggingFace spaces, on-site deployment) of our results, as well as to demonstrate the various releases of the prototype to EURECOM management teams. Since our activities are fueled by an important public fund, in the context of the French Government plan for AI, called the 3IA, the successful candidate will also participate to project meetings and reviews, as well as public demonstrations of research results. Requirements: * Education Level / Degree: Ms.c. or Ph.D. degree in Computer Science, Applied Mathematics, Physics, or a closely related area with a strong background on algorithmic development and software engineering * Applicants should have a good background on machine learning, a taste for learning new topics related to machine learning research, as well as proven experience in the design of solid software engineering artifacts * Applicants should have strong communication skills, with target audiences ranging from the scientific and academic community, as well as engineers and product managers * The working language in the department is English. Application The application must include: * Detailed curriculum, including (if available) a list of software engineering projects, public demonstrators, and contributions to open-source projects * a cover letter describing the applicant’s interests the contact details of 2/3 persons that can provide references about the candidate * the transcripts of courses taken at graduate (and optionally undergraduate) level Applications should be submitted by e-mail to Pietro.Michiardi(a)eurecom.fr and secretariat(a)eurecom.fr with the reference : DS/PM/EFELIA-LLM/102023 Applications will be accepted until the position is filled. Start date: ASAP -- Raphaël Troncy EURECOM, Campus SophiaTech Data Science Department 450 route des Chappes, 06410 Biot, France. e-mail: raphael.troncy(a)eurecom.fr & raphael.troncy(a)gmail.com Tel: +33 (0)4 - 9300 8242 Fax: +33 (0)4 - 9000 8200 Web: http://www.eurecom.fr/~troncy/

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2nd CFP, the 8th Biomedical Linked Annotation Hackathon (BLAH8)
by Jin-Dong Kim 12 Oct '23

12 Oct '23

[apologies for cross posting] The 8th Biomedical Linked Annotation Hackathon (BLAH8) - Biomedical Annotations in the Age of LLMs 15 - 19 January, 2024 Kashiwa, Chiba, Japan https://blah8.linkedannotation.org/ KEYNOTE SPEAKERS - Lawrence Hunter - University of Colorado - Martin Krallinger - Barcelona Supercomputing Center CALL FOR PROJECT PROPOSALS We invite submission of project proposals from those who are interested in contributing biomedical literature annotation with their literature annotation resources, and expertise, particularly this year with a connection to LLMs. We invite projects which can be accomplished during the hackathon. - Submission due of project proposals : 20 Oct., 2023 TRAVEL SUPPORT Those who submit project proposals are eligible to apply for travel support. See the homepage for detailed information. PUBLICATION Immediately after BLAH8, participants will be invited to submit papers to either of the two venues: - Genomics & Informatics : an open access journal, which is indexed by PubMed. All the papers of the journal will be immediately included in the PMC open access subset. - BioHackrxiv : a preprint server, which is powered by OSF preprints and indexed by EuropeanPMC. **Please refer to the homepage for more detailed information: https://blah8.linkedannotation.org/ PROGRAM COMMITTEE - Jin-Dong Kim (DBCLS, ROIS-DS) - Fabio Rinaldi (IDSIA) - Lars Juhl Jensen (Univ. Copenhagen) - Zhiyong Lu (NCBI, NLM)

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Final CfP and Deadline Extension: PROPOR 2024 - 16th International Conference on Computational Processing of Portuguese
by Pablo Gamallo 12 Oct '23

12 Oct '23

Subject: Final CfP and Deadline Extension: PROPOR 2024 - 16th International Conference on Computational Processing of Portuguese [Apologies for cross-postings] ******************************************************** PROPOR 2024: 16th International Conference on Computational Processing of Portuguese Universidade de Santiago de Compostela (Santiago de Compostela - Galicia) March 14th to 15th 2024 2nd Call for Papers https://propor2024.citius.gal/ ******************************************************** *Important dates* * Full and short paper submission deadline: *06/11/2023 (23:59 GMT-3)* * Notification of paper acceptance or rejection: 07/12/2023 * Camera-ready papers due: TBA * Conference: March 14th - 15th, 2024 The International Conference on Computational Processing of Portuguese (PROPOR), whose next edition will take place for the first time in Galicia, birthplace of the Portuguese language, is the main event in the area of natural language processing that is focused on theoretical and technological issues of written and spoken Portuguese and Galician (considered as a local variety of the former). The meeting has been a very rich forum for the exchange of ideas and partnerships for the research and industry communities dedicated to the automated processing of this language, promoting the development of methodologies, resources and projects that can be shared among researchers and practitioners in the field. We call for papers describing work on any topic related to computational language and speech processing of Portuguese/Galician by researchers in the industry or academia. Topics of interest include, but are not limited to: * Natural language processing tasks (e.g. parsing, word sense disambiguation, coreference resolution) * Natural language processing applications (e.g. question answering, subtitling, summarization, sentiment analysis) * Natural language generation * Information extraction and information retrieval * Speech technologies (e.g. spoken language generation, speech and speaker recognition, spoken language understanding) * Speech applications (e.g. spoken language interfaces, dialogue systems, speech-to-speech translation) * Resources, standardization and evaluation (e.g. corpora, ontologies, lexicons, grammars) * NLP-oriented linguistic description or theoretical analysis * Distributional semantics and language modeling * Portuguese language varieties and dialect processing (including the language varieties of Angola, Brazil, Cape Verde, East Timor, Galicia, Guinea-Bissau, Macau, Mozambique, Portugal, and Sao Tome and Principe) * Multilingual studies, methods, applications and resources including Portuguese/Galician PROPOR 2024 will be held at the University of Santiago de Compostela (Santiago de Compostela - Galicia, Spain) from March 14th to March 15th. PROPOR 2024 will be the 16th edition of the biennial PROPOR conference, hosted alternately in Brazil and in Europe (Portugal/Galicia). Past meetings were held in Lisbon, PT (1993); Curitiba, BR (1996); Porto Alegre, BR (1998); Évora, PT (1999); Atibaia, BR (2000); Faro, PT (2003); Itatiaia, BR (2006); Aveiro, PT (2008); Porto Alegre, BR (2010); Coimbra, PT (2012); São Carlos, BR (2014), Tomar, PT (2016), Canela, BR (2018), Évora, PT (2020), and Fortaleza, BR (2022). Submissions Submissions should describe original, unpublished work. Authors are invited to submit two kinds of papers: * Full papers – Reporting substantial and completed work, especially those that may contribute in a significant way to the advancement of the area. Wherever appropriate, concrete evaluation results should be included. Full papers may consist of up to 8 pages of content, plus unlimited pages of references. * Short papers – Reporting small, focused contributions such as ongoing work, position papers, potential ideas to be discussed, or negative results. Short papers may consist of up to 4 pages of content, plus unlimited pages of references. Both Full and Short papers will be published in the proceedings of the main conference. Each submission will be evaluated by at least three reviewers. As reviewing will be double-blind, submitted papers must be anonymized, that is, they should not contain the authors’ names and affiliations. Authors must avoid self-references that reveal identity, like, “We previously showed (Smith, 1991) …”. Instead, they should prefer citations such as “Smith (1991) previously showed …”. Separate author identification information will be required as part of the submission process. Submissions to PROPOR 2024 may not be made available online (e.g. via a preprint server), and may not be submitted for review elsewhere while being under review for this conference. Submissions should be written in English. At submission time, only PDF format is accepted. For the final versions, authors of accepted papers will be given 1 extra content page to take the reviews into account. Authors of accepted papers will be requested to send the source files for the production of the proceedings. All submitted papers must conform to the official ACL style guidelines. ACL provides style files for LaTeX and Microsoft Word that meet these requirements. They can be found at: * LaTeX styelesheet * MS Word stylesheet Paper should be submitted here in the following URL: https://easychair.org/my/conference?conf=propor2024 Important dates * Full and short paper submission deadline: 06/11/2023 (23:59 GMT-3) * Notification of paper acceptance or rejection: 07/12/2023 * Camera-ready papers due: TBA * Conference: March 14th - 15th, 2024 Publication The proceedings of PROPOR 2024 will be published by ACL as a volume in ACL Anthology (https://aclanthology.org/ ). They will be available online. To ensure publication, at least one author of each accepted paper must complete an adequate registration for PROPOR 2024 by the early registration deadline. Kindest regards, António Teixeira, Livy Real & Marcos Garcia PROPOR 2024 Program Chairs

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Schools and LLMs: Are you ready for the challenge?
by Fabio Massimo Zanzotto 11 Oct '23

11 Oct '23

Schools and LLMs: Are you ready for the challenge? Request for expression of interest for two 1-year open positions: (1) Research Fellowship - Assegno di Ricerca I Fascia (Requirements: Master's Degree) (2) Post-doc Research Fellowship - Assegno di Ricerca II Fascia (Requirements: Ph.D. Degree) Send a resume to <mailto:fabio.massimo.zanzotto@uniroma2.it> fabio.massimo.zanzotto(a)uniroma2.it to express your interest in one of the two positions. We offer: - an uncompetitive salary - no extra-benefits - no clear career path Yet, YOU can help us shape possible ways schools may integrate these disruptive LLMs to prepare "biological brains" for the vibrating future. These positions are within an Italian Research Project of National Interest (PRIN): "Class-tAIs: Artificial Intelligence and multi-brain connectivity as a buddy to Enhancing Competencies in students" Positions will start early next year and will be formally announced soon. Lab: Human-centric Art at the University of Rome Tor Vergata (Italy) Follow us on our newly established X account: @HumanCentricArt

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Job opening: PhD candidate in Inclusive Machine Translation (1,0 fte, 4 years)
by Fred Blain 11 Oct '23

11 Oct '23

Dear all, The Department of Cognitive Science and Artificial Intelligence at Tilburg University is delighted to announce a PhD vacancy for a highly motivated and talent student to contribute to the cutting-edge field of Machine Translation (MT). More specifically, the candidate will focus on the important yet challenging and exciting topic of Inclusive Machine Translation. Traditional Neural Machine Translation (NMT) systems tend to suffer from overgeneralizations, biases and lack of transparency. By mitigating biases and enhancing the transparency of NMT systems, the PhD researcher will work towards fairer and more inclusive MT. In line with the research interests of the Inclusive and Sustainable Machine Translation (ISMT) Lab, the objective of this research proposal is thus to investigate efficient and sustainable ways to address challenges related to inclusivity, bias and transparency in NMT. We offer a fully funded, 4-year PhD position, to conduct research and innovation activities in the field of text-to-text Machine Translation. Within the scope of this PhD, topics such as data compilation, data preprocessing and data analysis tailored to the needs of Machine Translation; development and neural architectures for uncovering bias and enhance explainabilty in translation and/or adapting architectures with successful application on text-to-text MT; adapting and adopting pre-trained language models, and human-centred design, evaluation and validation activities will be addressed. This position is hosted by the ISMT Lab of the CSAI department which focuses on (i) user- and use-case-centric MT, (ii) Inclusive Language Technology and (iii) Sustainable and Environmentally Conscious AI. Through its research activities it aims at promoting inclusiveness and cross-field collaborations, working with both academia and industry. The PhD candidate will be supervised by dr. Eva Vanmassenhove<https://research.tilburguniversity.edu/en/persons/eva-vanmassenhove> and dr. Frédéric Blain<https://research.tilburguniversity.edu/en/persons/fred-blain> (daily supervisors), and dr. Afra Alishahi<http://afra.alishahi.name/> (promotor). The work will be centred around objectives that will involve: Data Analysis, Data Processing Techniques, Model Training (design and implementation of state-of-the-art Deep Learning models for MT), Annotations (e.g. Linguistic Annotations), Bias Mitigation, Explainability Enhancement. The PhD candidate will work on tasks related to the aforementioned objectives in a multidisciplinary environment. This will allow the PhD candidate to gain expertise from the fields of Computational Linguistics, Computer Science, Engineering, Data Analysis, Machine- and Deep-Learning, and Cognitive Science. Job description * Develop and conduct research; * Write and defend a thesis within 4 years; * Write peer-reviewed papers for submission to international journals or leading conference proceedings in the first 3 years; * Give presentations about study results on a regular basis on workshops and conferences; * Participate in co-organising workshops; * Participate in ISMT and CSAI activities; * Participate in the Graduate Schools’ education program. Your Profile Candidates for this position should have a (research) Masters’ degree in: Artificial Intelligence and / or Computational linguistics with focus in at least one of the following fields: computational linguistics, natural language processing, machine translation, machine learning, data analysis and/or deep learning. In addition, we invite applicants who have a strong profile in a subset of these: * Interest in languages, NLP and/or Linguistics; * Excellent analytical and problem-solving abilities; * Ability to work both independently and collaboratively as part of a team to drive innovative research; * Proficiency in scientific programming languages, particularly Python (Numpy, Pandas, Matplotlib, Scikit-Learn, Tensorflow, PyTorch, etc.); * Some experience with (experimental) evaluation and statistical analyses; * Fluent spoken and written English communication skills; * Have a proactive and goal-directed attitude, good organizational skills, and the ability to get things done. Knowledge of another language than English (default language of communication) and / or Dutch is not an obligation but would be a major advantage given the research topic. Conditions of employment Fixed-term contract: 4 years. A full-time position. Starting date is negotiable. The selected candidate will start with a contract at Tilburg University at the Department of Cognitive Science and Artificial Intelligence for one year, concluded by an evaluation. Upon a positive outcome of the first-year evaluation, the candidate will be offered an employment contract for an additional 3 years. The PhD candidate will be ranked in the Dutch university job ranking system (UFO) as a PhD-student (promovendus) with a starting fulltime salary of € 2,770 gross per month in the first year, increasing up to € 3,539 the fourth year. A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually); Researchers from outside the Netherlands may qualify for a temporary tax-free allowance equal to 30% of their taxable salary. The University will apply for such an allowance on their behalf; The University will provide assistance in finding suitable accommodation (for foreign employees); Tilburg University is rated among the top Dutch employers and offers very good fringe benefits (it is one of the best non-profit employers in the Netherlands), also including excellent technical infrastructure, savings schemes and excellent sport facilities. The collective labor agreement of the Dutch Universities applies. Who we are The CSAI department (https://csai.nl) The Cognitive Science & Artificial Intelligence (CS&AI) department performs computational research in the domains of Artificial Intelligence and Cognitive Science and runs educational programs on Cognitive Science & Artificial Intelligence and Data Science and Society. The department is partially housed on Tilburg University campus (Dante Building) and in the Deprez building (near Tilburg central station) as member of MindLabs<https://www.mind-labs.eu/>. We maintain a close collaboration with the Jheronimus Academy of Data Science (JADS) in ‘s-Hertogenbosch. We are member of the Benelux Association for Artificial Intelligence<http://ii.tudelft.nl/bnvki/> (BNVKI), participate in the Special Interest Group for AI<http://ii.tudelft.nl/bnvki/?page_id=1247> (SIG AI), contributed to the Dutch AI Manifesto<http://ii.tudelft.nl/bnvki/wp-content/uploads/2018/09/Dutch-AI-Manifesto.pdf>, and participate in the Confederation of Laboratories for Artificial Intelligence Research in Europe<https://claire-ai.org/> (CLAIRE). The research group consists of about 70 researchers covering a broad range of topics relevant for cognitive science and artificial intelligence, and this includes approximately 35 PhD students. Core research domains include cognitive science, machine learning, deep learning, games, virtual reality, computational psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and signal processing, with a strong emphasis on quantitative methods. The ISMT Lab (https://www.tilburguniversity.edu/about/schools/tshd/departments/dca/lab/ma…) Machine translation (MT), the task of automatically translating text in one language into text in another language using a computer system, has undergone many shifts since its inception in the late 1950s. The latest of which, neural machine translation (NMT), has reached unprecedented translation qualities at almost human-level performance, of course for some use-cases and under certain conditions. MT has become an indispensable tool for professional translators (to assist in the translation workflow), for commercial users, e.g., e-commerce companies (to make their content quickly available in multiple languages), to every-day users (to access information unrestricted by the language in which it is produced). User- and use-case-centric MT We focus on the specific user requirements as well as the domain, the language, the style, etc. of a specific use-case. Through smart data analysis, selection and processing and optimized models we investigate faster and better tools that are tuned towards users and use-cases. Inclusive Language Technology Current MT and NLP models exacerbate bias and may produce inaccurate or sometimes even offensive outputs. We explore bias-related language phenomena and develop techniques to mitigate bias is an important research direction we are undertaking. Sustainable and Environmentally Conscious AI We study the environmental impact of language technology and ways to cut down the use of computing resources without losing quality. Can we reduce, reuse and reorganize for a less intrusive technology? More information This PhD project is expected to start at the beginning of 2024; the preferred start date is February 1st 2024. For more information on this position or the project, please contact: dr. Eva Vanmassenhove (E.O.J.Vanmassenhove(a)tilburguniversity.edu<mailto:E.O.J.Vanmassenhove@tilburguniversity.edu>), or dr. Frédéric Blain (F.L.G.Blain(a)tilburguniversity.edu<mailto:F.L.G.Blain@tilburguniversity.edu>) Applications To apply for this position please submit a motivation letter, CV, thesis (and any publications), grade list and names of two references. The only way to apply is online. Deadline for applications: November 15th 2023. Interviews are expected to take place in the beginning of December 2023. Tilburg School of Humanities and Digital Sciences Research and education at the Tilburg School of Humanities and Digital Sciences (TSHD) has a unique focus on humans in the context of the globalizing digital society, on the development of artificial intelligence and interactive technologies, on their impact on communication, culture and society, and on moral and existential challenges that arise. The School of Humanities and Digital Sciences consists of four departments: Communication and Cognition, Cognitive Science and Artificial Intelligence, Culture Studies and Philosophy; several research institutes and a faculty office. Also the University College Tilburg is part of the School. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 2000 students and 250 employees. Tilburg School of Humanities and Digital Sciences<https://www.tilburguniversity.edu/about/schools/humanities/> -------- Met hartelijke groeten/With kind regards, Fred Blain Assistant Professor in AI Department of Cognitive Science & Artificial Intelligence Dante Building, D144 Tilburg School of Humanities and Digital Sciences Tilburg University, The Netherlands

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Postdoc position in Copenhagen (AAU, 24 months)
by Johannes Bjerva 11 Oct '23

11 Oct '23

Hi everyone, We are hiring a 2-year postdoc at the Copenhagen campus of Aalborg University. The project is on NLP in an educational context, with the goal of exploring methodology for automated generation of feedback, tailored to specific students. There is a substantial amount of freedom in terms of the methodological research direction. The position is funded by a Villum Synergy project, hence in addition to core NLP research, there will be an opportunity to publish in venues focused on learning technologies. You will be joining a growing department (with annual hiring rounds for assistant professors), and a fun NLP team with ph.d.s and postdocs focusing on low-resource NLP (https://typnlp.github.io/). * Application deadline: 8 November 2023 * Interviews likely in mid November * Starting date: 1 January 2024 (or shortly thereafter) * Quality of life in Copenhagen is high, and getting around by bike is both safe and easy - the AAU campus in Copenhagen is located by the waterfront, close to the city, and easily accessible both by bike and public transport. For more details and to apply, see the official call here: https://www.vacancies.aau.dk/scientific-positions/show-vacancy?vacancyId=12… Interested applicants are encouraged to reach out to me at jbjerva(a)cs.aau.dk. Best, Johannes Johannes Bjerva Associate Professor | Natural Language Processing | Department of Computer Science Team Lead for CS CPH Aalborg University Copenhagen Office 2.2.089, A.C. Meyers Vænge 15, 2450 Copenhagen, Denmark

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Job: Postdoctoral Researcher (f/m/d) in Privacy-Preserving Natural Language Processing, Paderborn University, Germany
by Ivan Habernal 11 Oct '23

11 Oct '23

Job: Postdoctoral Researcher (f/m/d) in Privacy-Preserving Natural Language Processing, Paderborn University, Germany Paderborn University is a high-performance and internationally oriented university with approximately 18,000 students. Within interdisciplinary teams, we undertake forward-looking research, design innovative teaching concepts and actively transfer knowledge into society. As an important research and cooperation partner, the university also shapes regional development strategies. We offer our more than 2,600 employees in research, teaching, technology and administration a lively, family-friendly, equal opportunity environment, a lean management structure and diverse opportunities. Join us to invent the future! The Natural Language Processing group lead by Prof. Dr. Ivan Habernal at the Faculty of Computer Science, Electrical Engineering and Mathematics offers a full-time position as Postdoctoral Researcher (f/m/d) (according to salary group E 14 TV-L) starting as soon as possible in the research area "Privacy-Preserving Natural Language Processing". This position will focus on a broad range of research questions related to privacy-preserving NLP, including large language models or data privatization. A solid background in machine learning for natural language processing is essential, prior experience with differential privacy or other privacy frameworks is a plus. The position is planned for three years with a possible extension. The period of employment is governed by the Academic Fixed-Term Contract Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). An extension is possible within the time limits of the WissZeitVG. Your duties and responsibilities: * Independently conduct innovative research in the research area mentioned above * Take an active role in supervising students (doctoral-, master's and bachelor's students) * Operational and strategic management and further development by leading research project * Acquisition of new third-party funds * Teaching on the order of 4 teaching hours (SWS) per week Your profile: * PhD degree in computer science or a related area * Excellent analytical and programming skills * Publications in the area of privacy-preserving NLP/ML is a plus * Communicative and team-oriented personality * Independent, self-reliant and committed working style * Very good command of English, both written and spoken (German is a plus) We provide: * Work on highly relevant research topics and technologies in an international research team * A family-friendly workplace with the opportunity of partial remote work ("Mobiles Arbeiten") * Personnel development through further training opportunities * A supplementary employer pension scheme (VBL) Applications from women are particularly welcome and, in case of equal qualifications and experiences, will receive preferential treatment according to the North Rhine-Westphalian Equal Opportunities Act (LGG), unless there are preponderant reasons to give preference to another applicant. Part-time employment is, in principle, possible. Applications from disabled people with appropriate suitability are explicitly welcome. This also applies to people with equal opportunities in accordance with the German social law SGB IX. Apply by sending a short letter of motivation and a curriculum vitae including your publication list to Prof. Dr. Ivan Habernal (ivan.habernal(a)uni-paderborn.de) with reference code 6137. Don't hesitate to contact Prof. Habernal should you have any questions regarding the position. Application deadline is on October 22th, 2023. The position remains open until filled. Information regarding the processing of your person data can be located at: https://www.uni-paderborn.de/zv/personaldatenschutz . Prof. Dr. Ivan Habernal Faculty of Computer Science, Electrical Engineering and Mathematics – Department of Computer Science Paderborn University Warburger Str. 100 33098 Paderborn

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Call for Papers: International Conference for Learner Corpus Research (LCR 2024)
by lcr2024＠ut.ee 10 Oct '23

10 Oct '23

Dear Colleagues, We are delighted to extend an invitation for the forthcoming International Conference for Learner Corpus Research (LCR) in 2024. Organized under the aegis of the Learner Corpus Association, this event brings together researchers, language instructors, and software developers who share an interest in using learner corpora for research. LCR 2024 in Tartu aspires to provide a favourable environment for dialogue and most recent research, allowing LCA members and other scholars in the field of LCR to share their latest ideas and findings. Recognizing Estonia's unique position as the homeland of a lesser-known non-Indo-European language, we see it as suitable to prioritize corpus research that delves into the learning of smaller languages and by learners with less common L1 backgrounds. However, research focused on languages, even those extensively studied, is, as always, mostly welcomed. Below, you will find the most essential details about the conference. Keynote speakers: Gaëtanelle Gilquin (Université Catholique de Louvain, Belgium) Ilmari Ivaska (Turun Yliopisto, Finland) Cristóbal Lozano (Universidad de Granada, Spain) Event Details: Date: 26-28 September 2024 Location: Institute of Foreign Languages and Cultures and the Institute of Estonian and General Linguistics. University of Tartu, Estonia. Categories: The conference will include keynote talks, paper presentations, work in progress reports, poster presentations and software demonstrations. Language: The language of the conference will be English. Topics: Areas of interest include, but are not limited to, the following: Language for academic purposes Language for specific purposes Language teaching, assessment and testing Learner corpus-based SLA studies Corpora as pedagogical resources Multimodal learner corpora Software for learner corpus analysis Corpus-based translation studies English as a Medium of Instruction (EMI) English as a Lingua Franca (ELF) Data mining and other explorative approaches to learner corpora Statistical methods in learner corpus studies Discourse analysis and pragmatics Studies related to lexis: semantics, metaphor, etc. NLP approaches Complexity, accuracy and/or fluency (CAF) analysis Abstracts: A short summary of the intended presentation, capturing the central idea along with the research questions, methods of research and the (possibly tentative) key conclusions, also citing any relevant previous work or theoretical background of the field On unpublished original research Complemented by 3-5 keywords Limited to 300 words, excluding keywords and references Anonymous: the abstract itself should hold no reference to the author or their affiliation Further information is available at our webpage: https://lcr2024.ut.ee/main Contact information: lcr2024(a)ut.ee Looking forward to your valuable contributions.

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CfP: The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
by Stan Szpakowicz 10 Oct '23

10 Oct '23

*LaTeCH-CLfL 2024: The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature * to be held in March 2024 in conjunction with EACL 2024 <https://2024.eacl.org/> in Malta. https://sighum.wordpress.com/latech-clfl-2024/ First Call for Papers (with apologies for cross-posting) Organisers: Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Stan Szpakowicz LaTeCH-CLfL 2024 is the eighth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual meetings. The SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational Linguistics for Literature (CLfL) took place in 2012-2016. The first seven joint workshops (LaTeCH-CLfL) were held in 2017-2023. *Topics and content* In the Humanities, Social Sciences, Cultural Heritage and literary communities, there is increasing interest in, and demand for, NLP methods for semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of both primary and secondary data. This is even true of primarily non-textual collections, given that text is also the pervasive medium for metadata. Such applications pose new challenges for NLP research: noisy, non-standard textual or multi-modal input, historical languages, vague research concepts, multilingual parts within one document, and so no. Digital resources often have insufficient coverage; resource-intensive methods require (semi-)automatic processing tools and domain adaptation, or intense manual effort (e.g., annotation). Literary texts bring their own problems, because navigating this form of creative expression requires more than the typical information-seeking tools. Examples of advanced tasks include the study of literature of a certain period, author or sub-genre, recognition of certain literary devices, or quantitative analysis of poetry. NLP methods applied in this context not only need to achieve high performance, but are often applied as a first step in research or scholarly workflow. That is why it is crucial to interpret model results properly; model interpretability might be more important than raw performance scores, depending on the context. More generally, there is a growing interest in computational models whose results can be used or interpreted in meaningful ways. It is, therefore, of mutual benefit that NLP experts, data specialists and Digital Humanities researchers who work in and across their domains get involved in the Computational Linguistics community and present their fundamental or applied research results. It has already been demonstrated how cross-disciplinary exchange not only supports work in the Humanities, Social Sciences, and Cultural Heritage communities but also promotes work in the Computational Linguistics community to build richer and more effective tools and models. Topics of interest include, but are not limited to, the following: • adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature; • automatic error detection and cleaning of textual data; • complex annotation schemas, tools and interfaces; • creation (fully- or semi-automatic) of semantic resources; • creation and analysis of social networks of literary characters; • discourse and narrative analysis/modelling, notably in literature; • emotion analysis for the humanities and for literature; • generation of literary narrative, dialogue or poetry; • identification and analysis of literary genres; • interpretability of large language models output for DH-related tasks (explainable AI); • linking and retrieving information from different sources, media, and domains; • low-resource and historical language processing; • modelling dialogue literary style for generation; • modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage; • profiling and authorship attribution; • search for scientific and/or scholarly literature; • work with linguistic variation and non-standard or historical use of language. *Information for authors* We invite papers on original, unpublished work in the topic areas of the workshop. In addition to long papers, we will consider short papers and system descriptions (demos). We also welcome position papers. • Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. • A short paper / demo presenting work in progress, or the description of a system, and may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings. • A position paper — clearly marked as such — should not exceed eight (8) pages including references. All submissions are to use the EACL stylesheets (for LaTeX / Overleaf and MS Word); there will be a link soon (we hope) but last year's https://2023.eacl.org/calls/styles is a good guess. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL2024 submission website on the SoftConf pages (we will publish the link as soon as we have it). Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Self-references should be kept to a reasonable minimum, and anonymous citations cannot be used. Accepted papers will be published in the workshop proceedings available as usual in the ACL Anthology. *Important dates* (tentative) Workshop paper due: December 18, 2023 Notification of acceptance: January 20, 2024 Camera-ready papers due: January 30 2024 Workshop date: March 21 or 22, 2024 *More on the organizers* Yuri Bizzoni, Center for Humanities Computing / School for Communication and Culture, Århus University Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University Anna Kazantseva, National Research Council Canada Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa *Contact* latech-clfl(a)googlegroups.com

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Research position in the topic of Large Language Models
by Eleftherios Avramidis 10 Oct '23

10 Oct '23

Dear all, The research group DRX of The German Research Center for AI in Berlin, under the direction of Prof. Dr. Gesche Joost, investigates smart technologies from a designerly perspective. For an upcoming research project, we are looking for a researcher (who could be a PhD candidate or a post-doc) to explore human-in-the-loop approaches to optimize LLMs for new AI products. The deadline is October 20. Please find more details at the URL: https://jobs.dfki.de/en/vacancy/researcher-m-f-d-in-drx-539334.html best Lefteris -- Short name: Lefteris Pronouns: he/him Languages: English, German, Greek Website:https://www.dfki.de/~elav01 Address: Alt Moabit 91c, 10559 Berlin, Germany Tel.: +49 30 23895 1806 Sec.: +49 30 23895 1800 Fax.: +49 30 23895 1810 ------------------------------------------------------------- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Trippstadter Strasse 122, D-67663 Kaiserslautern, Germany Geschäftsführung: Prof. Dr. Antonio Krüger Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313 Sitz der Gesellschaft: Kaiserslautern ---------------------------------------------------------------------

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LREC-COLING 2024: Deadline Extension
by Enrico Santus 09 Oct '23

09 Oct '23

LREC-COLING 2024 Call for Papers: Deadline Extension The LREC-COLING template MUST be used for your submission(s). If not, your submission(s) will be rejected. Visit Author’s Kit Page <https://lrec-coling-2024.org/authors-kit/> Two international key players in the area of computational linguistics, the ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL), are joining forces to organize the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) to be held in Torino, Italy on 20-25 May, 2024. IMPORTANT DATES (All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”) - 22 September 2023: Paper anonymity period starts - 20 October 2023: Final submissions due (long, short and position papers) - 20 October 2023: Workshop/Tutorial proposal submissions due - 22–29 January 2024: Author rebuttal period - 5 February 2024: Final reviewing - 19 February 2024: Notification of acceptance - 25 March 2024: Camera-ready due - 20-25 May 2024: LREC-COLING2024 conference SUBMISSION TOPICS LREC-COLING 2024 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of natural language and computation, language resources (LRs) and evaluation, including spoken and sign language and multimodal interaction. Submissions are invited in five broad categories: (i) theories, algorithms, and models, (ii) NLP applications, (iii) language resources, (iv) NLP evaluation and (v) topics of general interest. Submissions that span multiple categories are particularly welcome. For more information, please visit: https://lrec-coling-2024.org/2nd-call-for-papers/ -- Enrico Santus, PhD *Head of Human Computation* *CTO Office at Bloomberg LP* *Website*: www.esantus.com *E-mail*: esantus(a)gmail.com *All opinions expressed in my private e-mails are my own, and they do not represent any group, institution or company to which I am associated.*

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Job Announcement: Assistant Professor of Translation Technologies and Artificial Intelligence
by Patrick Drouin 08 Oct '23

08 Oct '23

Assistant Professor of Translation Technologies and Artificial Intelligence Department of Linguistics and Translation Faculty or Arts and Sciences University of Montréal Job description The Department of Linguistics and Translation invites applications for a full-time assistant professor position in Translation Technologies and Artificial Intelligence. Responsibilities * The successful candidate will be expected to teach at the undergraduate and graduate levels, supervise graduate students, pursue research, publication and outreach activities as well as contribute to the academic life of the University. * Teaching activities will include training undergraduate students in the use of Machine Translation, Translation Technologies and the use of Artificial Intelligence in Translation. * Graduate research and teaching activities will focus on theoretical and methodological issues in Translation technologies, in particular Neural Machine Translation, Artificial Intelligence and Natural Language Processing from a multilingual perspective. * The successful candidate will be called upon to develop or consolidate collaborations with professional circles and work with research teams working in Artificial Intelligence, in Montreal, in Canada and internationally. Requirements * PhD in translation, language sciences, computer science or a relevant field; * Excellent research and publication record in the field; * Demonstrated ability to provide high quality university education; * Membership in the Ordre des traducteurs, terminologies et interprètes agréés du Québec (OTTIAQ) or a professional translation association will be considered an asset. * Have sufficient knowledge of the French language or be determined to learn it once on the job through the French language learning support program offered by UdeM, under the Language Policy of the Montreal university. The successful candidate's file, depending on their expertise and interest, could be proposed for a position as an IVADO Professor. These positions offer improved starting conditions. The person will participate in the ambitious project (IAR3) aimed at the development and adoption of robust, reasoning and responsible artificial intelligence for which IVADO has just obtained an Apogée grant. How to submit your application The application file sent to the Department Chair should contain the following documents: * a cover letter; application must include in the cover letter one of the following statements: “I am a citizen/ permanent resident of Canada.” or “I am not a citizen or permanent resident of Canada.” * a research statement (approximately one page); * a curriculum vitæ; * a copy of recent publications or research work; * a statement on teaching philosophy (maximum one page); * a research statement (maximum two pages); * three letters of recommendation are also to be sent directly to the Department Chair by the referees. Application file and letters of recommendation must be sent by email before November 15, 2023 to: Patrick Drouin, Chair Department of linguistics and Translation Faculty des Arts and Sciences Email : direction(a)ling.umontreal.ca Website : https://ling-trad.umontreal.ca

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Two tenure-track positions in Computational Linguistics at Indiana University, Bloomington
by Francis Tyers 07 Oct '23

07 Oct '23

Apologies for cross-posting. Dear all, https://indiana.peopleadmin.com/postings/20630 The Department of Linguistics at Indiana University (https://linguistics.indiana.edu/) invites applications for up to two tenure-track positions at the level of Assistant Professor in Computational Linguistics beginning Autumn 2024. Candidates need to have a research area in Computational Linguistics that aligns with interests in the department and/or helps strengthen the research and teaching profile of the Computational Linguistics programs at IU. Preference will be given to candidates with a research focus in the area of speech technologies (recognition or synthesis), with an interest in developing methodologies for under-resourced languages or in resource-constrained environments, but other research areas will also be considered. Evidence of an active research agenda and a strong commitment to innovative teaching is required for consideration. A PhD in computational linguistics or natural language processing is required at the time of appointment. The program operates in a very interdisciplinary environment, with close connections to Cognitive Science, Computer Science, Information and Library Science, Psychology, Speech and Hearing Sciences, and the language programmes, and candidates are expected to fit into this collaborative landscape. Collaborative research and joint advising of students in the departments of Computer Science and Informatics will be possible. The College of Arts and Sciences is committed to building and supporting a diverse, inclusive, and equitable community of students and scholars. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. Inquiries can be directed to Dr. Sandra Kuebler at skuebler(a)iu.edu or Dr. Francis Tyers at ftyers(a)iu.edu. Best regards, Francis M. Tyers

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Call for academic position IDIA - University of Chile
by Felipe Bravo 07 Oct '23

07 Oct '23

We are seeking a talented, highly motivated, academic with the potential to expand the research and teaching activities related to the broad field of data science at Universidad de Chile. This is a unique opportunity to join the recently established Initiative for Data and Artificial Intelligence (IDIA) and collaborate with an interdisciplinary group of academics from the Faculty of Physical and Mathematical Sciences (FCFM) at Universidad de Chile The position is full-time, open-rank, and leads to a tenure track. Salary will depend on the initial evaluation, for reference, the starting salary for an Assistant Professor ranges between CLP$3.400.000 and CLP$4.000.000 per month before taxes. You are expected to lead a successful research agenda that attracts grant funding, as well as be committed to teaching activities both for undergraduate and graduate programmes. As part of IDIA, you will play an active role in management and decision-making. As a member of Universidad de Chile, you will be responsible for promoting equality, diversity, and inclusion in all instances within our institution. Teaching load is 5 courses per 2 years. You will have a doctorate and postdoctoral experience that demonstrates your leadership as a researcher in the fields of data science, machine learning, or artificial intelligence. Furthermore, you will have the ability to foster collaboration in the abovementioned fields within FCFM, in particular, to engage and motivate students at all levels and from all backgrounds. You will also participate in our Master of Data Science as lecturer and supervisor, thus interacting with postgraduate students of a broad background working on applied and theoretical data science projects. For an informal discussion about the post, please contact the IDIA Director Dr Felipe Tobar (ftobar [AT] uchile [DOT] cl) Applications should be submitted directly to the website https://concurso-academico.uchile.cl/ and the application details are available here <https://idia.uchile.cl/wp-content/uploads/2023/09/BASES_IDIA_2305_Escuela_d…> *Deadline: 30 November 2023.* *Universidad de Chile is committed to equity, diversity, and social inclusion. We strongly encourage applications from under-represented individuals in the profession across ethnic and national origin, physical ability, and gender and sexual identity. Universidad de Chile believes in the value of different perspectives and backgrounds to build world-class research groups.* Source: https://idia.uchile.cl/2023/09/call-for-academic-position-idia/

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Corpus MOOC - free online course running right now
by Brezina, Vaclav 06 Oct '23

06 Oct '23

Hi all, Lancaster University is currently running a free online course on Corpus linguistics (8 weeks). There are some very interesting discussions on the platform already and a dedicated team of mentors is ready to answer your questions about CL and its various applications. It's still possible to register for free: https://www.futurelearn.com/courses/corpus-linguistics Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:image001.png@01D9F871.689A8410]@vaclavbrezina [cid:image002.png@01D9F871.689A8410]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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OFAI 2023 Fall Lecture Series
by Tristan Miller 06 Oct '23

06 Oct '23

The Austrian Research Institute for Artificial Intelligence (OFAI) is delighted to announce its 2023 Fall Lecture Series. The talks are intended to familiarize attendees with the latest research developments in AI and related fields, and to forge new connections with those working in other areas. The main theme of the current series is large language models. Lectures will be held at 18:30 Vienna time online via Zoom (meeting ID: 842 8244 2460; passcode: 678868); in-person attendance at OFAI is also possible for certain lectures. Attendance is open to the public and free of charge. No registration is required. For further details, sign up to our mailing list at <https://www.ofai.at/newsletter.html> or check the Lecture Series web page at <https://www.ofai.at/lectures>. Schedule: 11 October 2023 at 18:30 CEST (UTC+2) Nafise Sadat Moosavi (University of Sheffield) Challenges of End-to-End Reasoning in NLP Calendar link: https://www.ofai.at/calendar/2023-10-11moosavi.ics 23 October 2023 at 18:30 CEST (UTC+2) Simon Penny (University of California Irvine and Nottingham Trent University) Skill: Know-how, Artisanal Practices and 'Higher' Cognition Calendar link: https://www.ofai.at/calendar/2023-10-23penny.ics 8 November 2023 at 18:30 CET (UTC+1) Erich Prem (University of Vienna) Ethics of AI: Good AI Versus the Totalitarian Enforcement of Norms Calendar link: https://www.ofai.at/calendar/2023-11-08prem.ics 22 November 2023 at 18:30 CET (UTC+1) Dagmar Gromann (University of Vienna) Do Large Language Models Grasp Metaphors? Calendar link: https://www.ofai.at/calendar/2023-11-22gromann.ics 6 December 2023 at 18:30 CET (UTC+1) Ivan Habernal (Paderborn University) Privacy in Natural Language Processing: Are we There yet? Calendar link: https://www.ofai.at/calendar/2023-12-06habernal.ics 20 December 2023 at 18:30 CET (UTC+1) Thomas Graf (Stony Brook University) Linguistics and Symbolic Computation in a World of Large Language Models Calendar link: https://www.ofai.at/calendar/2023-12-20graf.ics 17 January 2024 at 18:30 CET (UTC+1) Stefanie Höhl (University of Vienna) Social Rhythms and Biobehavioral Synchrony in Early Human Development Calendar link: https://www.ofai.at/calendar/2024-01-17hoehl.ics 31 January 2024 at 18:30 CET (UTC+1) Clemens Heitzinger (TU Wien) Reinforcement Learning and its Application in Medicine and Large Language Models Calendar link: https://www.ofai.at/calendar/2024-01-31heitzinger.ics 14 February 2024 at 18:30 CET (UTC+1) Brigitte Krenn and Stephanie Gross (OFAI) Bias in Language Models Illustrated by the Example of Gender Calendar link: https://www.ofai.at/calendar/2024-02-14krenn.ics -- Dr.-Ing. Tristan Miller, Research Scientist Austrian Research Institute for Artificial Intelligence (OFAI) Freyung 6/6, 1010 Vienna, Austria | Tel: +43 1 5336112 12 https://logological.org/ | https://punderstanding.ofai.at/

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Call For Volunteers: EMNLP 2023
by Mamoru Komachi 06 Oct '23

06 Oct '23

A limited number of student volunteers are needed for the success of EMNLP 2023. Both online and in-person event volunteers are needed. Tasks may include assisting at the registration desk, filling delegate packs, managing poster board sessions and displays, serving as volunteer coordinator for the day, and/or AV/technical support such as (but not limited to) managing social media (X/Twitter) and providing assistance for conference events including tutorials, the main conference, and workshops (either online or in-person versions). In exchange for one full day equivalent of work, students receive free registration to the main conference (including the ACL membership fee of the current year), workshops and tutorials, and the social events. The work will be divided, probably into two half-day shifts, and the shifts will be scheduled to maximize volunteer access to the conference events. Webpage: https://2023.emnlp.org/volunteers Application deadline: October 20, 2023 Notification of acceptance: November 3, 2023 All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”). Submission Procedure Applicants for the Student Volunteer Program must be full-time students and should submit the completed application form where we ask a few questions and a one-page CV (resume). Students should make travel arrangements and accommodations independent of the results of the application. We plan to offer the option of reduced rate student housing for accepted volunteers, but please note that you are still responsible for the cost of accommodation. EMNLP Singapore 2023 Volunteer Registration Application: https://docs.google.com/forms/d/e/1FAIpQLScHMDNQJbdU9dT4eUZTpxXIJkhF3rc0_Zv… Contact Details Student Volunteers Chairs : emnlp2023-volunteers(a)gmail.com Kevin Duh, Johns Hopkins University (USA) Ekaterina Kochmar, MBZUAI (UAE) Mamoru Komachi, Hitotsubashi University (Japan)

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Call for participation: SCAI Eval 2024 Shared Task on Conversational Search Evaluation
by Johannes Kiesel 06 Oct '23

06 Oct '23

SCAI Eval 2024 Shared Task on Conversational Search Evaluation ============================================================== Conversational search has many faces, and we want so see them all. Rather than evaluating systems, this shared task calls on the community to gather comprehensive evaluation resources to provide a clearer picture of evaluation: 1. Example data of diverse search-oriented conversations; 2. Definitions and annotation guidelines for aspects to evaluate (e.g., correctness, coherence, readability); and 3. Implementations of evaluation metrics. Both novel and already published contributions are welcome. Contributors will be invited to present at the next SCAI workshop (venue to be determined) and co-author a SIGIR Forum article. So join our mailing list at https://groups.google.com/g/scai-info to stay up-to-date with our task and get into contact. Web: https://scai.info/scai-eval-2024/ (details, instructions, examples) Mailing list: https://groups.google.com/g/scai-info Submission deadlines: - January 15, 2024: deadline for aspect definitions - January 29, 2024: deadline for data and metrics Task Committee: - Johannes Kiesel, Bauhaus-Universität Weimar - Maik Fröbe, Friedrich-Schiller-Universität Jena - Andrea Papenmeier, University of Twente - Alexander Frummet, Universität Regensburg - Paul Owoicho, University of Glasgow -- Johannes Kiesel Bauhaus-Universität Weimar Bauhausstr. 9a, Room 106 99423 Weimar, Germany Phone: +49 (0)3643 - 58 3720

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Advance notice: ‘Statistics for linguistics with R’ bootcamp (08 – 12/07/2024)
by Magali Paquot 06 Oct '23

06 Oct '23

The Linguistics Research Unit of the Institute of Language and Communication (Université catholique de Louvain, Belgium) will be hosting Stefan Gries’s next bootcamp on statistics for linguistics with R from 08 to 12 July 2024. The ‘Statistics for linguistics with R’ bootcamp is a hands-on introduction to statistical methods for both graduate students and seasoned researchers and is loosely based on the third edition (2021) of Gries’s textbook Statistics for linguistics with R. The course is intended for linguists who already have a basic knowledge in statistics and some experience using R and who wish to improve their proficiency in statistical modeling of linguistic data. Using the open source software and programming language R, we will deal with: • fundamental aspects of fixed effects regression modeling for both numeric and binary response variables; these include exploration of data and their preparation for modeling, model formulation and selection; numerical and visual interpretation and evaluation of models; • more advanced aspects of fixed-effects regression modeling such as contrasts for ordinal predictors, orthogonal contrasts, curvature of numeric predictors, and maybe general linear hypothesis tests; • the theoretical foundations of mixed-effects regression modeling; • applications of mixed-effects modeling for both numeric and binary response variables; • tree-based methods and random forests: 'fitting' and interpreting them with importance scores, partial dependence scores, and detecting (not just capturing) interactions. The website of the bootcamp will be online in early 2024 and online registration will start on 1 March 2024, 11 am CEST. The number of participants is limited. If you would like to participate, mark the date in your diary! Contact email: magali.paquot(a)uclouvain.be<mailto:magali.paquot@uclouvain.be> Magali Paquot Convenor

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Corpus linguistics & applied linguistics research 2023 online talks
by pascualf＠um.es 06 Oct '23

06 Oct '23

I’m sharing the following information about "Corpus linguistics & applied linguistics research 2023", a series of talks organised by the University of Murcia from 11 to 30 October 2023. The talks will take place via ZOOM. This is a free event. Registration links will be provided for each of the talks below. After registration, you’ll receive an email with the webinar link. Contrastive approaches in corpus linguistics research Dr Niall Curry, Manchester Metropolitan University October 11, 18:00 (Madrid time) / 17:00 (UK time) Registration link: https://umurcia.zoom.us/webinar/register/WN_d68rw3V_TnOGNWDg6sXHnw Using Corpus Linguistics to Interpret the Law Dr Jesse Egbert, Northern Arizona University October 18, 18:00 (Madrid time) / 17:00 (UK time) Registration link: https://umurcia.zoom.us/webinar/register/WN_uAmw72l1T-en-4y0LnZffg Multiple correspondence analysis and corpus linguistics research Dr Isobelle Clarke, Lancaster University October 25, 17:30 (Madrid time) / 16:30 (UK time) Registration link: https://umurcia.zoom.us/webinar/register/WN_s0aPEXAFTQe_App0qS7Erg The Core Metadata Schema for L2 data: Collaborative efforts towards improved data findability, metadata quality and study comparability in L2 research Dr Magali Paquot, UCLouvain October 30, 18:00 (Madrid time) / 17:00 (UK time) Registration link: https://umurcia.zoom.us/webinar/register/WN_a6Wkw7llSG2HrvJ9yIGKvQ You can check out the 2021 and 2022 talks here: https://www.youtube.com/channel/UCKjKIIQL6u1mXD2V9ZaT-_Q/featured Please feel free to share this information with anyone interested in these research areas. Best wishes, Pascual Pérez-Paredes https://webs.um.es/pascualf

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Research fellowship in NLP / event extraction at the University of Oslo
by Erik Velldal 05 Oct '23

05 Oct '23

[Apologies for cross-posting] A postdoc-level position as Research Fellow in Natural Language Processing is available in the Language Technology Group (LTG) at the University of Oslo (UiO), Norway. The 3-year position is affiliated with a new research project focusing on event extraction in the domain of armed conflicts, a cross-disciplinary collaboration bridging NLP and political science / conflict research. For more information, please see the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/251514/researcher-in-natural… The closing date is November 2nd, 2023. Please do not hesitate to contact me for any further information. Best regards, -erik -- Erik Velldal Language Technology Group Section for Machine Learning Department of Informatics, University of Oslo

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New York University Abu Dhabi Research Assistant or Post-Doctoral Associate Opening
by Nizar Habash 05 Oct '23

05 Oct '23

Hello everyone -- We are hiring in Camel Lab at New York University Abu Dhabi! We are looking for research assistants or postdocs who are interested in Arabic Natural Language Processing. *Camel Lab website: http://www.camel-lab.com/ <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.camel-2Dlab.com_&d=…>* *Camel Lab publications: http://scholar.camel-lab.com/ <https://urldefense.proofpoint.com/v2/url?u=http-3A__scholar.camel-2Dlab.com…>* *Application Links:* *Research Assistant (Bachelors or Masters required) - * http://apply.interfolio.com/133722 *Post-Doctoral Associate (PhD required) - * http://apply.interfolio.com/133725 -- Nizar Habash Professor of Computer Science New York University Abu Dhabi https://www.nizarhabash.com/

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