- Corpora - ELRA lists

CfP: Workshop on Unpacking Efficient Communication
by Gemma Boleda 18 Dec '23

18 Dec '23

Call for Papers 2024 CORE Project Workshop Unpacking Efficient Communication: The Roles of Cognitive Bias and Extralinguistic Context in Referring Expression Choice When: April 18-19, 2024 Where: Universitat Pompeu Fabra, Barcelona Language offers a rich set of lexical and syntactic options for reference, reflecting the different ways we can choose to identify, describe, categorize, and differentiate the entities and events we talk about. For example, in any given context, a speaker can choose between a more or less specific expression (the dog, the spotted dog, the Dalmatian), or between expressions that convey complementary information about the referent (the woman, the skier). A well-established line of research highlights the role of efficiency in referring expression choice. But what makes a referring expression “efficient”? Efficiency in communication has been frequently characterized in terms of an informativity/effort trade-off, with informativity operationalized in terms of inference, and effort, in terms of cognitive or physical cost (Horn 1984, Levshina 2021). However, there is also evidence that other factors such as the salience of visual features (e.g., color, Rubio-Fernández 2016) or the prototypicality of an entity as an exemplar of a category (see, e.g., Degen, et al. 2020) can lead speakers to use expressions that are, strictly speaking, overinformative in the narrowest sense of the term. Efficiency can also be examined at the level of the whole system; for instance, Brochhagen and Boleda (2022) argue that the informativity/effort trade-off helps explain cross-linguistic patterns in colexification, or how meanings are organized in the lexicon. The goal of this workshop, supported by the Spanish AEI-funded CORE project (“COntextual effects in the choice of Referring Expressions for visually presented entities”, PID2020-112602GB-I00), is to dig deeper into what makes a linguistic expression “efficient”, considering factors such as: - Cognitive biases that influence the potential for rapid/efficient discrimination. - Potential for exploiting inferences due to choice of one expression vs. another. - Information load a referring expression has to bear given extralinguistic sources of information in the context, especially visual information. - Lexical/constructional frequency effects and association strength between RE options and the referent in question. The workshop aims to give a forum to new and especially exploratory research in this area. The workshop will include a combination of invited talks, presentations of ongoing research by project members, and presentations and/or posters selected in this open call. We invite submissions on topics including, but not limited to: - The general principles that intervene in efficient communication, especially alternatives to or refined definitions of notions such as “efficiency”, “effort”, and “informativity”. - Which features of entities or events are more likely to be used for discrimination. - The role of the visual context and/or distractor entities in influencing RE choice; more generally, the role of multi-modal aspects. - The role of the implicit semantic organization of RE alternatives and the conventionalized division of labor between them, especially organization based on implicative semantic relations (e.g. hyponymy, troponymy). - The factors influencing the choice among alternative cross-classifications of a target referent (e.g. the choice between “taxonomic” descriptions such as woman vs. role-based descriptions such as skier). - The dynamics between reference and the linguistic system, that is, how efficient communication is enabled by and at the same time transforms a given language. We take a methodologically pluralistic approach and thus welcome presentations on experimental studies, analysis of corpus data, computational modeling, critiques or analyses of published research, as well as position papers. Invited speakers: Lilia Rissman, University of Wisconsin - Madison Paula Rubio-Fernández, Max Planck Institute for Psycholinguistics Sina Zarrieß, University of Bielefeld Abstract guidelines: Abstracts should not exceed 2 pages in length (A4 or letter-size), in 12 pt. font, with 1-inch/2,5-cm margins; a third page can be used for references, data, and figures. Please indicate whether you want the submission to be considered for a paper, a poster, or either. Abstracts should be submitted to EasyChair at the following link: https://easychair.org/conferences/?conf=core2024. Important dates: Deadline for abstract submission: December 20, 2023 Notification of acceptance: January 15, 2024 Workshop dates: April 18-19, 2024 Organizers: Louise McNally, Gemma Boleda, Jialing Liang, Marina Bolea. References: Degen, J., Hawkins, R. D., Graf, C., Kreiss, E., & Goodman, N. D. (2020). When redundancy is useful: A Bayesian approach to “overinformative” referring expressions. Psychological Review, 127(4), 591–621. Gualdoni, E., T. Brochhagen, A. Mädebach, G. Boleda. 2023. What's in a name? A large-scale computational study on how competition between names affects naming variation. Journal of Memory and Language, 133, 104459. Brochhagen, T., G. Boleda. 2022. When do languages use the same word for different meanings? The Goldilocks Principle in colexification. Cognition, 226, 105179. Horn, L.R. (1984). Towards a new taxonomy for pragmatic inference: Q-based and R-based implicature. In Schiffrin, D. (ed.), Meaning, Form, and Use in Context: Linguistic Applications, 11-42. Georgetown University Press, Washington, DC. Levshina, N. (2023). Communicative efficiency: Language structure and use. Cambridge: Cambridge University Press. Rissman, L., & Lupyan, G. (2022). A Dissociation Between Conceptual Prominence and Explicit Category Learning: Evidence From Agent and Patient Event Roles. Journal of Experimental Psychology: General, 151(7):1707-1732. Rubio-Fernandez, P., Mollica, F., & Jara-Ettinger, J. (2021). Speakers and listeners exploit word order for communicative efficiency: A cross-linguistic investigation. Journal of Experimental Psychology: General, 150(3), 583–594. Schüz, S., Han, T., Zarrieß, S. (2021) Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation. Proceedings of the 22nd Annual SIGdial Meeting on Discourse and Dialogue. Association for Computational Linguistics.

1 1

Survey about LLM democratization
by Vagrant Gautam 18 Dec '23

18 Dec '23

Dear corpora-list members, [ https://arjunsubramonian.github.io/ | Arjun Subramonian ] , [ https://zeerak.org/ | Zeerak Talat ] and [ https://dippedrusk.com/ | I ] are investigating the barriers that NLP researchers face in using large language models (LLMs), as well as how they conceptualize the democratization of LLMs. All NLP practitioners are invited to fill out our survey: [ https://forms.gle/DC6ZjDbFKxW95khz9 | https://forms.gle/DC6ZjDbFKxW95khz9 ] We look forward to your responses. Best, Vagrant Mx. Vagrant Gautam ( [ https://dippedrusk.com/posts/2022-12-03-pronouns/ | they/them ] ) [ https://dippedrusk.com/ | https://dippedrusk.com/ ]

1 0

Call For Chapters ! | Applied Speech and Text Processing For Low Resource Languages by River Publishers
by Shantipriya Parida 18 Dec '23

18 Dec '23

Dear Professor/Scholar, We would like to invite you to contribute a chapter for the upcoming book entitled “Applied Speech and Text Processing For Low Resource Languages” to be published by the River Publishers. ------------------------------ Motivation and Scope of the Book Out of over 7000 recognized languages worldwide, only a small proportion offer sufficient resources to build speech and natural language processing (NLP) technologies adequately. Developing such solutions for low-resource languages is challenging in multiple aspects. The dependency on deep learning over volumes of resources is quite conventional. Hence, the research in this domain is propelled by different ideas to train and validate systems, such as data augmentation, transfer learning, and hybrid multi-modal architectures, to name a few. This book aims at collecting such ideas, advent, and solutions for building speech/NLP technologies in low-resource scenarios. ------------------------------ Table of Contents We invite submissions of high-quality, original chapters addressing both theoretical and practical aspects, including their ethical and social implications of NLP in healthcare. The Book aims to cover (but is not limited) the following topics: - Speech Processing for Low Resource Languages - Natural Language Processing for Low Resource - Deep learning methods for low-resource languages - End-to-end speech Recognition for Low-Resource Language - Development of a Speech Corpus for Low Resource Language - Multimodal architectures for social media analysis - Speech synthesis for low-resource language - Speech translation for low-resource language - Indigenous Language revitalization/preservation - Transfer learning applications - Leveraging Large pre-trained language models knowledge under few-shot and zero-shot in NLP tasks - Efficiently aligning acoustic and textual embeddings - Speech Recognition for Specific Dialects ------------------------------ Important Dates and Submission Guidelines - Full Chapter Abstract Submission: 10.01.2024 - Abstract Acceptance/Rejection Notification: 25.01.2024 - Full Chapter Submission: 15.03.2024 - First Review Notification: 15.04.2024 - Revised Version Notification: 15.05.2024 - Final Acceptance/Rejection Notification: 30.05.2024 - Camera Ready Chapter Submission: 10.06.2024 Authors should send their abstracts and chapters through easy-chair <https://easychair.org/my/conference?conf=appliedspeechnlpbook0>only. The submission guidelines and other detailed information can be found on the book website <https://sites.google.com/view/speech-nlp-boook-river/home>. For any query mail to: speech_nlp_book_river(a)googlegroups.com <https://groups.google.com/g/speech_nlp_book_river> ------------------------------ Editors - Dr. Shantipriya Parida (Silo AI, Finland) <https://www.linkedin.com/in/shantipriya-parida-9781a9127/> - Assoc. Prof. Satya Ranjan Dash (KIIT University, India) <https://ksca.kiit.ac.in/profiles/satya-ranjan-dash/> - Asst. Prof. Biswa Ranjan Acharya (Marwadi university, India) <https://www.linkedin.com/in/acharyabiswa/?originalSubdomain=in> - Dr. Ravi Shankar Prasad (Idiap Research Institute, Switzerland) <https://www.linkedin.com/in/ravishankar-prasad-b9907924/> - Prof. Esaú Villatoro-Tello (Idiap Research Institute, Switzerland) <https://www.linkedin.com/in/esa%C3%BA-villatoro-tello-bb185b1aa/> Request to share among NLP researchers/scholars. -- Shantipriya Parida Senior AI Scientist @ Silo AI <http://www.silo.ai/> Mobile:# +358 (0465787840) LinkedIn <http://linkedin.com/>*Shantipriya Parida <https://www.linkedin.com/in/shantipriya-parida-9781a9127/>* *http://www.shantipriya.me/ <http://www.shantipriya.me/>*

1 0

Job @ ELDA - Immediate vacancy: Senior Project Manager in Speech Technologies (m/f)
by info＠elda.org 18 Dec '23

18 Dec '23

[Apologies for multiple postings] The European Language Resources Distribution Agency (ELDA), a company specialized in Human Language Technologies within an international context, is currently seeking to fill an immediate vacancy for a permanent Senior Project Manager position, specialised in Speech Technologies. Under the supervision of the CEO, the Senior Project Manager, specialised in Speech Technologies will be in charge of conducting the activities related to the production of language resources and the co-ordination of R&D projects. Their responsibilities include language resources design/specification, production frameworks and platforms setup, quality control and assessment, project-dedicated team members recruitment and management. They will also contribute to improving or updating of the current language resources production workflows. This yields excellent opportunities for qualified, creative, and motivated candidates wishing to participate actively in the Language Engineering field. The position is based in Paris (13th). Required profile: * PhD in computer science specialised in speech technologies. A proven background in research (scientific publications) will be a strong plus * At least 3 years of experience in speech technologies (speech recognition, synthesis, language modelling) and the well-used tools to produce and collect data, and assess quality * Ability to experiment with various techniques for improving or building tools (eg., transcription and annotation tools) * Contribution to international projects * Good knowledge of Linux and open source software * Proficiency in Python programming language * Good knowledge of scripting languages: bash, R, Perl * Experience and ability to supervise members of a multidisciplinary team * Dynamic and communicative, flexible to combine and work on different tasks * Proficiency in English with ability to write user guides, administration documentation and reports, and good mastering of French. Knowledge of other languages would be a plus. * Citizenship (or residency papers) of a European Union country Salary: Commensurate with qualifications and experience (between 40-50K€). Other benefits: complementary health insurance and meal vouchers. About ELDA is an SME established in 1995 to promote the development and exploitation of Language Resources (LRs). Language Resources include all data necessary for language engineering, such as monolingual and multilingual lexica, text corpora, speech databases and terminology. ELDA’s role is to produce LRs, to collect and to validate them and, foremost, make them available to users in compliance with applicable regulations and ethical requirements. For further information about ELDA, visit: http://www.elda.org Applicants should email a cover letter addressing the points listed above together with a curriculum vitae to: ELDA 9, rue des Cordelières 75013 Paris FRANCE Email: job(a)elda.org *__*

1 0

First CFP: Computational Linguistics in Bulgaria (CLIB 2024)
by Ivelina Stoyanova Department of Computational Linguistics 18 Dec '23

18 Dec '23

Dear colleagues, We are pleased to invite you to the 6th edition of the International Conference on Computational Linguistics in Bulgaria (CLIB 2024, [ http://dcl.bas.bg/clib/ | http://dcl.bas.bg/clib/ ] ), to be held on 9 and 10 September 2024 in Sofia, Bulga ria. Computational Linguistics in Bulgaria (CLIB) is an international conference that aims at exploring novel approaches and methods in computational linguistics and natural language processing (NLP), especially with a view to their application to small and less-resourced languages such as Bulgarian and the bridging of the discrepancies between big and small languages with respect to language technologies. IMPORTANT DATES Tutorial submission deadline: 15 February 2024 Tutorial notification deadline: 15 March 2024 Paper abstract submission deadline: 15 March 2024 Paper submission deadline: 15 April 2024 (23:59 UTC/GMT+2) Author notification deadline: 15 May 2024 Camera-ready PDF due: 15 June 2024 Official proceedings publication date: 7 September 2024 Conference: 9 – 10 September 2024 TOPICS OF INTEREST CLIB invites contributions on original research, including, but not limited to: * computer-aided learning, training and education * dialogue and interactive systems * information retrieval, information extraction, text mining and knowledge graph derivation * language grounding for computer vision and robotics * language modelling * language theories and cognitive modelling for NLP * large language models and NLP evaluation methodologies * language resources and benchmarking for large language models * language resources construction and annotation * machine learning for NLP * machine translation, multilingualism, translation aids * morphology and segmentation * natural language generation, understanding, summarisation and simplification * ontologies, terminology and knowledge representation * sentiment analysis, stylistic analysis, opinion and argument mining * speech recognition, synthesis and spoken language understanding * tagging, chunking, syntax and parsing CLIB 2024 also solicits submissions presenting project reports , new data resources , system demonstrations , position papers . SPECIAL SESSION ON WORDNETS, FRAMENETS AND ONTOLOGIES The Special Session on Wordnets, Framenets and Ontologies brings together researchers interested in the principles, theory, practice and applications of wordnets, ontologies, related linguistic resources and their interoperability and seeks to establish a dedicated community and to foster joint initiatives in this particular field. PAPER TYPES AND FORMAT Long papers must describe substantial, original, completed, and unpublished work. Long papers may consist of up to eight (8) pages of content. Short paper submissions must describe original and unpublished work dealing with a small, focused contribution. Short papers may consist of up to four (4) pages. Both types of submissions allow for an unlimited number of pages of references and appendices. All accepted papers will be included in the Conference Proceedings. Additional information and the CLIB 2024 style guidelines and templates are available in the [ http://dcl.bas.bg/clib/instructions-for-authors/ | Instructions for Authors ] section at the Conference website. PAPER SUBMISSION Papers must be submitted in English and should be anonymous . Reviewing will be double blind . Each submission will be reviewed by at least two anonymous reviewers. We invite authors to submit a provisional title along with a brief abstract (approx. 150 words) by 15 March 2024 in pdf format. Abstract should be anonymous. Submission of papers and abstracts will be managed online by the EasyChair conference management system through the [ https://easychair.org/conferences/?conf=clib2024 | CLIB 2024 EasyChair page ] . BEST STUDENT PAPER AWARD In order to encourage talented young researchers, the best paper with a Master/PhD student among the authors and presenting the work at the conference will be awarded a small prize and a diploma. CALL FOR TUTORIALS CLIB 2024 invites proposals for tutorials which will be held before the Conference (on September 8). Proposals should not exceed 4 pages of content (plus unlimited pages for references) using CLIB paper templates, and they should be submitted as pdf documents through the [ https://easychair.org/conferences/?conf=clib2024 | CLIB 2024 EasyChair page ] . Tutorial proposals are not anonymous . Guidelines for the proposals for tutorials are available in the [ https://dcl.bas.bg/clib/call-for-tutorials/ | Call for Tutorials ] section at the Conference website. The CLIB 2024 style guidelines and templates are available in the [ http://dcl.bas.bg/clib/instructions-for-authors/ | Instructions for Authors ] section published at the Conference website. CLIB PROCEEDINGS INDEXING The Proceedings from CLIB 2016, CLIB 2018, CLIB 2020 are indexed in ISI Web of Science. As of November 2020 the Proceedings are indexed in Scopus . CLIB Proceedings published since 2020 are also included in the ACL Anthology. You can contact us via the Conference e-mail: [ mailto:clib2024@dcl.bas.bg | clib2024(a)dcl.bas.bg ] Best regards, The CLIB2024 Organising Committee

1 0

Second CFP: The 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2024)
by Michael Hahn 18 Dec '23

18 Dec '23

Second 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. *Shared Task* In 2024, SIGTYP is hosting a Word Embedding Evaluation for Ancient and Historical Languages. More details can be found here: https://sigtyp.github.io/st2024.html. 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

1 2

[IberLEF 2024] Second Call for Task Proposals
by Salud María Jiménez Zafra 18 Dec '23

18 Dec '23

================================= IberLEF 2024 -- Second 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/>

1 0

Post-doc Namkin & Loria-Sémagramme - Troyes-Nancy, France
by Maxime Amblard 18 Dec '23

18 Dec '23

The Namkin company and Loria - Université de Lorraine invites applications for a postdoctoral position on business event extraction. Location: Troyes, France and Nancy, France Application Deadline: 31st January 2024 Starting Date: March 2024 Contract Duration: 1 year (with possible extension) The industry faces numerous challenges that necessitate the evolution of BtoB marketing tools, in order to develop a valuable offer and provide an enhanced customer experience. Namkin's BrainLab develops industrial marketing tools for digitalizing customer relations, evolving business models, and exploiting business and economic data for business development. One of the key challenges of marketing intelligence is to identify risks and opportunities so as to guide marketing strategies. Among the sources of information useful to detect risks and opportunities, Namkin has identified Business Events, that is, “textually reported real-world occurrences, actions, relations, and situations involving companies and firms” (Jacobs et al., 2018). The Loria Semagram team specialises in modelling natural language semantics to represent discourse. While modern semantic representations may contain vast quantities of information, they do not always (or necessarily) contain the information that is useful for the concrete application. For instance, significant challenges still persist in dealing with temporal relations and finely-grained negation interpretation. A number of studies at the crossroads of business intelligence and NLP have focused on the detection or extraction of Business Events (e.g., Arendarenko & Kakkonen, 2012; Han et al., 2018; Jacobs et al., 2018; Jacobs & Hoste, 2020; Jacobs & Hoste, 2022). Despite the richness of the event extraction literature, many challenges still remain. Some of these challenges are concerned with the modelling of the task itself, such as the necessity / benefit of trigger identification for event extraction (see Zhu et al. 2021), some with the scope of the task, such as sentence level vs document level extraction (e.g., Zheng et al. 2019), some with the information necessary to the integration of events in a coherent knowledge base, like factuality detection (e.g., Zhang et al., 2022) and event disambiguation (e.g., Barhom et al., 2019). Recent research has looked into the benefits of exploiting semantic representations, and in particular Abstract Meaning Representation (AMR; Banarescu et al. 2013), for low-resources scenarios (Huang et al., 2018) and document level event argument extraction (e.g., Xu et al., 2022). However, it appears that AMR has to be adapted in order to optimally support event extraction related tasks (Yang et al., 2023). One major limitation of AMR for document-level event extraction is that AMR works at the sentence level, and thus requires the aggregation of sentence-level representations. AMR is also limited in terms of negation and universal quantification expressive power. To overcome these issues, we seek to appoint a Postdoctoral Researcher to work on semantic modelling. Some promising new lead was recently provided by Bos (2023) who proposes a new meaning representation system that overcomes expressive power limitations, supports discourse relations and inter-sentential coreferences, and reduces the annotation load. The appointed Postdoctoral Researcher will explore semantic modelling solutions and their application to event extraction in the field of business. The topic covers various subjects, including: - Computational semantics, - Machine learning with neural networks, - Cross-domain model transfer, - Learning from small data, - Combining top-down (expert-driven) and bottom-up (dataset-driven) models, - Design of meaning representations - Shallow and deep semantic processing and reasoning - Hybrid symbolic and statistical approaches to semantics - Neural semantic parsing - Semantics and ontologies The successful candidate will be part of Namkin's Data & IA team and the Sémagramme Team at Loria, with co-supervision provided by Agata Marcante and Professor Maxime Amblard. As part of the role, you will have the opportunity to... - Design, develop and test semantic representation algorithms for text-mining with the aim of identifying significant information in unstructured text. - Collaborate with Namkin’s experts to evaluate the algorithms on real-world use cases. You will be responsible for writing academic papers, technical reports and project deliverables. You will also attend academic conferences or project meetings to present your findings and act as a representative for the team. Requirements include expertise in semantic representation algorithms, excellent technical writing skills and the ability to work well in a team. * Applicants must hold a PhD in Computer Science, related to Data Systems, Natural Language Processing, or Artificial Intelligence. * They should have proven fluency in at least one programming language, such as Python, R, Java or C++. * Candidates must possess a curious and passionate attitude towards research and learning in general. * Proficiency in French language would be considered a bonus. * Previous experience in the NLP field would be considered advantageous. How to apply: send an email to: applications(a)namkin.fr <mailto:applications@namkin.fr> - with the subject starting with ''Namkin-Loria Postdoc'' - with a single PDF attached containing: * Cover letter detailing motivation and qualifications for this position. * Curriculum vitae, with a list of publications and contact details for references. Interested parties are encouraged to contact us for further information regarding the position before applying. References Arendarenko, E., & Kakkonen, T. (2012). Ontology-based information and event extraction for business intelligence. In Artificial Intelligence: Methodology, Systems, and Applications: 15th International Conference, AIMSA 2012, Varna, Bulgaria, September 12-15, 2012. Proceedings 15 (pp. 89-102). Springer Berlin Heidelberg. Barhom, S., Shwartz, V., Eirew, A., Bugert, M., Reimers, N., & Dagan, I. (2019). Revisiting joint modeling of cross-document entity and event coreference resolution. arXiv preprint arXiv:1906.01753. Banarescu, L., Bonial, C., Cai, S., Georgescu, M., Griffitt, K., Hermjakob, U., ... & Schneider, N. (2013, August). Abstract meaning representation for sembanking. In Proceedings of the 7th linguistic annotation workshop and interoperability with discourse (pp. 178-186). Jacobs, G., & Hoste, V. (2020). Extracting fine-grained economic events from business news. In COLING 2020 (pp. 235-245). COLING. Jacobs, G., & Hoste, V. (2022). SENTiVENT: enabling supervised information extraction of company-specific events in economic and financial news. Language Resources and Evaluation, 56(1), 225-257. Jacobs, G., Lefever, E., & Hoste, V. (2018). Economic event detection in company-specific news text. In 1st Workshop on Economics and Natural Language Processing (ECONLP) at Meeting of the Association-for-Computational-Linguistics (ACL) (pp. 1-10). Association for Computational Linguistics (ACL). Han, S., Hao, X., & Huang, H. (2018). An event-extraction approach for business analysis from online Chinese news. Electronic Commerce Research and Applications, 28, 244-260. Huang, L., Ji, H., Cho, K., Dagan, I., Riedel, S., & Voss, C. (2018, July). Zero-Shot Transfer Learning for Event Extraction. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 2160-2170). Xu, R., Wang, P., Liu, T., Zeng, S., Chang, B., & Sui, Z. (2022). A two-stream AMR-enhanced model for document-level event argument extraction. arXiv preprint arXiv:2205.00241. Yang, Y., Guo, Q., Hu, X., Zhang, Y., Qiu, X., & Zhang, Z. (2023). An AMR-based link prediction approach for document-level event argument extraction. arXiv preprint arXiv:2305.19162. Zhang, H., Qian, Z., Li, P., & Zhu, X. (2022, November). Evidence-Based Document-Level Event Factuality Identification. In PRICAI 2022: Trends in Artificial Intelligence: 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part II (pp. 240-254). Cham: Springer Nature Switzerland. Zheng, S., Cao, W., Xu, W., & Bian, J. (2019). Doc2EDAG: An end-to-end document-level framework for Chinese financial event extraction. arXiv preprint arXiv:1904.07535. Zhu, T., Qu, X., Chen, W., Wang, Z., Huai, B., Yuan, N. J., & Zhang, M. (2021). Efficient document-level event extraction via pseudo-trigger-aware pruned complete graph. arXiv preprint arXiv:2112.06013. ---------------------- Maxime Amblard Université de Lorraine https://members.loria.fr/mamblard <https://members.loria.fr/mamblard> http://espoir-ul.fr <http://espoir-ul.fr/>

1 0

Job offer: W1 Professorship for Digital Humanities
by Stefanie Dipper 18 Dec '23

18 Dec '23

Job offer: W1 Professorship for Digital Humanities in the Study of Religion (with Tenure Track W2) The Center for Religious Studies (CERES) at the Ruhr University Bochum (RUB), Germany, invites applications for the position of a W1 Professorship for Digital Humanities in the Study of Religion (with Tenure Track W2). The successful applicant is expected to represent the field of Digital Humanities in the study of religion in research and teaching. The aim is to strengthen Digital Humanities at RUB and the study of religion at CERES and especially in the context of the Collaborative Research Center "Metaphors of Religion". The full text of the advertisement (in German) is available at https://jobs.ruhr-uni-bochum.de/jobposting/8c4b276c0e75e597169c5082e2051ca7… (for an unofficial English version, see https://ceres.rub.de/en/news/w1-professur-fur-digital-humanities-in-der-rel…). Address for questions and applications: Dr. Tim Karis/tim.karis(a)rub.de Application deadline: 2024, Jan 31 Stefanie Dipper

1 0

[CfP] DLnLD: Deep Learning and Linked Data
by Gilles Sérasset 18 Dec '23

18 Dec '23

DLnLD: Deep Learning and Linked Data Workshop colocated with LREC-COLING 2024, Date: May 21, 2024 Venue: Torino, Italy and online For up to date info, check: https://dl-n-ld.github.io/ <https://dl-n-ld.github.io/> Call for Papers ---------------------------------------------------------------------------------------- What does Linguistic Linked Data brings to Deep Learning and vice versa ? Let’s bring together these two complementary approaches in NLP. ---------------------------------------------------------------------------------------- Motivations for the Workshop Since the appearance of transformers (Vaswani et al., 2017), Deep Learning (DL) and neural approaches have brought a huge contribution to Natural Language Processing (NLP) either with highly specialized models for specific application or via Large Language Models (LLMs) (Devlin et al., 2019; Brown et al., 2020; Touvron et al., 2023) that are efficient few-shot learners for many NLP tasks. Such models usually build on huge web-scale data (raw multilingual corpora and annotated specialized, task related, corpora) that are now widely available on the Web. This approach has clearly shown many successes, but still suffers from several weaknesses, such as the cost/impact of training on raw data, biases, hallucinations, explainability, among others (Nah et al., 2023). The Linguistic Linked Open Data (LLOD) (Chiarcos et al., 2013) community aims at creating/distributing explicitly structured data (modelled as RDF graphs) and interlinking such data across languages. This collection of datasets, gathered inside the LLOD Cloud (Chiarcos et al., 2020), contains a huge amount of multilingual ontological (e.g. DBpedia (Lehmann et al., 2015)); lexical (e.g., DBnary (Sérasset, 2015), Wordnet (McCrae et al., 2014), Wikidata (Vrandečić and Krötzsch, 2014)); or linguistic (e.g., Universal Dependencies Treebank (Nivre et al., 2020; Chiarcos et al., 2021), DBpedia Abstract Corpus (Brümmer et al., 2016)) information, structured using common metadata (e.g., OntoLex (McCrae et al., 2017), NIF (Hellmann et al., 2013), etc.) and standardised data categories (e.g., lexinfo (Cimiano et al., 2011), OliA (Chiarcos and Sukhareva, 2015)). Both communities bring striking contributions that seem to be highly complementary. However, if knowledge (ontological) graphs are now routinely used in DL, there is still very few research studying the value of Linguistic/Lexical knowledge in the context of DL. We think that, today, there is a real opportunity to bring both communities together to take the best of both worlds. Indeed, with more and more work on Graph Neural Networks (Wu et al., 2023) and Embeddings on RDF graphs (Ristoski et al., 2019), there is more and more opportunity to apply DL techniques to build, interlink or enhance Linguistic Linked Open Datasets, to borrow data from the LLOD Cloud for enhancing Neural Models on NLP tasks, or to take the best of both worlds for specific NLP use cases. Submission Topics This workshop aims at gathering researchers that work on the interaction between DL and LLOD in order to discuss what each approach has to bring to the other. For this, we welcome contributions on original work involving some of the following (non exhaustive) topics: • Deep Learning for Linguistic Linked Data, among which (but not exclusively): • Modelling, Resources & Interlinking, • Relation Extraction • Corpus annotation • Ontology localization • Knowledge/Linguistic Graphs creation or expansion • Linguistic Linked Data for Deep Learning, among which (but not exclusively): • Linguistic/Knowledge Graphs as training data • Fine tuning LLMs using Linguistic Linked (meta)Data • Graph Neural Networks • Knowledge/Linguistic Graphs embeddings • LLOD for model explainability/sourcing • Neural models for under-resourced languages • Joint Deep Learning and Linguistic Data applications • Use cases combining Language Models and Structured Linguistic Data • LLOD and DL for Digital Humanities • Question-Answering on graph data All application domains (Digital Humanities, FinTech, Education, Linguistics, Cybersecurity…) as well as approaches (NLG, NLU, Data Extraction…) are welcome, provided that the work is based on the use of BOTH Deep Learning techniques and Linguistic Linked (meta)Data. Important Dates (Current dates are tentative and will be revised when we will have more input from LREC-COLING Workshop Chairs) All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”) • Final submissions due: 25 February 2024 • Notification of acceptance: 25 March 2024 • Camera-ready due: 2nd April 2024 Authors kit All papers must follow the LREC-COLING 2024 two-column format, using the supplied official style files. The templates can be downloaded from the Style Files and Formatting page provided on the website. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. LREC-COLING 2024 Author’s Kit Page: https://lrec-coling-2024.org/authors-kit/ <https://lrec-coling-2024.org/authors-kit/> Paper submission Submission is electronic, using the Softconf START conference management system. For the submission link, refer to DLnLD website: https://dl-n-ld.github.io/ <https://dl-n-ld.github.io/> Workshop Chairs • Gilles Sérasset, Université Grenoble Alpes, France • Hugo Gonçalo Oliveira, University of Coimbra, Portugal • Giedre Valunaite Oleskeviciene, Mykolas Romeris University, Lithuania Program Committee • Mehwish Alam, Télécom Paris, Institut Polytechnique de Paris, France • Russa Biswas, Hasso Plattner Institute, Potsdam, Germany • Milana Bolatbek, Al-Farabi Kazakh National University, Kazakhstan • Michael Cochez, Vrije Universiteit Amsterdam, Netherlands • Milan Dojchinovski, Czech Technical University in Prague, Czech Republic • Basil Ell, University of Oslo, Norway • Robert Fuchs, University of Hamburg, Germany • Radovan Garabík, L’. Štúr Institute of Linguistics, Slovak Academy of Sciences, Slovakia • Daniela Gifu, Romanian Academy, Iasi branch & Alexandru Ioan Cuza University of Iasi, Romania • Katerina Gkirtzou, Athena Research Center, Maroussi, Greece • Jorge Gracia del Río, University of Zaragoza, Spain • Dagmar Gromann, University of Vienna, Austria • Dangis Gudelis, Mykolas Romeris University, Lithuania • Ilan Kernerman, Lexicala by K Dictionaries, Israel • Chaya Liebeskind, Jerusalem College of Technology, Israel • Marco C. Passarotti, Università Cattolica del Sacro Cuore, Milan, Italy • Heiko Paulheim, University of Mannheim, Germany • Alexandre Rademaker, IBM Research Brazil and EMAp/FGV, Brazil • Georg Rehm, DFKI GmbH, Berlin, Germany • Harald Sack, Karlsruhe Institute of Technology, Karlsruhe, Germany • Didier Schwab, Université Grenoble Alpes, France • Ranka Stanković, University of Belgrade, Serbia • Andon Tchechmedjiev, IMT Mines Alès, France • Dimitar Trajanov, Ss. Cyril and Methodius University – Skopje, Macedonia • Ciprian-Octavian Truică, POLITEHNICA Bucharest, Romania • Nicolas Turenne, Guangdong University of Foreign Studies, China • Slavko Žitnik, University of Ljubljana, Slovenia

1 0

2025

2024

2023

2022