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CfP Second Austrian Meeting on Digital Linguistics
by Claudia Posch Gmail 25 Jun '24

25 Jun '24

Call: Second Austrian Meeting on Digital Linguistics Digital linguistics is a growing interdisciplinary field at the intersection of linguistics, information technology, and the social sciences. This is reflected by the growing number of new projects, publication series, and university courses. A central focus of digital linguistics is language data, i.e., digital artifacts that use human language as a form of expression. The range of this language data includes social media content, parliamentary transcripts, newspapers and medieval manuscripts, among others. Such data is processed, annotated, analyzed, curated, shared, archived, and reused, among other activities. Therefore, the topics covered in this workshop span from the creation of digital language resources (corpora, dictionaries, etc.) and their analysis (e.g., semantic change detection, emotion and sentiment analysis), to the use of standards and research infrastructures, as well as methods for long-term archiving or reuse of language data. The variety of research in this field in Austria was shown during the first Austrian Meeting on Digital Linguistics and the previous Austrian Meetings on Sentiment Inferenz (ÖTSI 2021, 2023), where 37 researchers from different Austrian and international research institutions presented their projects. This year’s workshop “Second Austrian Meeting on Digital Linguistics” is a follow-up of these workshops. Again, the aim of the workshop is to highlight recent developments in the Austrian research landscape and to connect different projects working with or on methods in digital linguistics, as well as the researchers involved. The workshop aims to facilitate the exchange of methodological insights and the creation of synergies through the mutual sharing of digital language resources, also within the framework of the research infrastructure CLARIAH-AT. Furthermore, the workshop also addresses international researchers, who are working in the field of digital linguistics and who want to present their research and exchange and connect with the Austrian research community. *Submissions* Abstracts (approx. 400 words, in PDF format) for presentations (20 minutes, in German or English) on topics related to digital linguistics can be submitted until September 15, 2024, to the following email address digital-linguistics(a)uibk.ac.at. All submissions will be reviewed by at least 2 workshop organizers. https://clariah.at/de/news/call-second-austrian-meeting-on-digital-linguist… <https://clariah.at/de/news/call-second-austrian-meeting-on-digital-linguist…> (Deutsch) https://clariah.at/en/news/call-second-austrian-meeting-on-digital-linguist… <https://clariah.at/en/news/call-second-austrian-meeting-on-digital-linguist…> (English) *Travel cost support* Upon acceptance of the abstract, travel cost support can be provided by CLARIAH-AT if needed. *Workshop organizers* Tanja Wissik, Austrian Academy of Sciences, tanja.wissik(a)oeaw.ac.at Karlheinz Mörth, Austrian Academy of Sciences, Karlheinz.Moerth(a)oeaw.ac.at Andreas Baumann, University Wien, andreas.baumann(a)univie.ac.at Julia Neidhardt, TU Wien, julia.neidhardt(a)tuwien.ac.at Claudia Posch, University Innsbruck, claudia.posch(a)uibk.ac.at Gerhard Rampl, University Innsbruck, gerhard.rampl(a)uibk.ac.at

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[CfP] LaCATODA 2024 at PRICAI 2024, Kyoto, Japan (Linguistic and Cognitive Approaches to Dialog Agents)
by Ptaszynski Michal 24 Jun '24

24 Jun '24

** Sorry for cross-postings ** This is Michal Ptaszynski from KIT, Japan. We are organizing LaCATODA workshop at PRICAI in Kyoto this year. Please, consider sending a paper. :) Best regards, Michal PTASZYNSKI, Ph.D., Associate Professor Text Information Processing Laboratory, Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal(a)mail.kitami-it.ac.jp ========================================================== The Ninth Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2024) (PRICAI 2024 Workshop) https://sites.google.com/view/lacatoda2024 Venue: Kyoto, Japan & online (in conjunction with PRICAI 2024, https://www.pricai.org/2024/) ========================================================== Short Description: A multidisciplinary workshop for researchers who develop more sophisticated dialog agents and methods for achieving more natural machine-generated conversation or study problems of human communication which are difficult to mimic algorithmically. Workshop Goals: The more human-like machine intelligence engineers develop, the more important is for them to be familiar with advances in fields traditionally focusing on humans — ethics, psychology, linguistics, or cognitive science. In the age of data explosion, advancing hardware and more powerful learning algorithms, it has been becoming obvious that we need to study mechanisms underlying what we call a natural dialog, how we track a conversation or what we remember. It is not enough to pay attention what information is conveyed but also how it is conveyed. For this reason we extend topics to knowledge-related topics to seek answers to questions like how an utterance can become harmful, amusing, beautiful or interesting. We aim to gather AI researchers who realize that in spite of current popularity of GenAI "chatbots", they are not really dialog systems and it is necessary to extend existing and propose new algorithms to perform natural conversation. We will call for papers regarding research not only on the latest trends but also on revisiting classic studies related to dialog and understanding, as the AI developments allow to utilize theories that had focused on human interaction and understanding in the past. The workshop intends to spark an interdisciplinary discussion on affect in dialog understanding and generation tasks. ------------------------------------------------------------------ Important Dates: Paper Submission deadline: August 18th, 2024 (11:59PM UTC-12:00, "anywhere on Earth") Acceptance notification: September 18th, 2024 Camera ready deadline: October 1st, 2024 LaCATODA 2024 Workshop: 19 November 2024 Submission: https://easychair.org/conferences/?conf=lacatoda2024 ------------------------------------------------------------------ Relevant Topics: - Affective computing - Affect-related knowledge acquisition - Artificial assistants and tutors - Artificial General Intelligence - Attention and focus in dialog processing - Common sense knowledge and reasoning - Computational cognition - Daily life assistants - Emotional intelligence simulations - Ethical reasoning - Humor processing - Language acquisition - Machine learning for dialog - Text mining for dialog - Persona and user modeling - Philosophy of emotions in communication - Preference models - Retrieval-based dialog systems - Systems and approaches combining above topics Organizers: Rafal Rzepka, Hokkaido University, Japan Michal Ptaszynski, Kitami institute of Technology, Japan Pawel Dybala, Jagiellonian University, Poland Siaw-Fong Chung, National Chengchi University, Taiwan Jordi Vallverdú, Autonomous University of Barcelona, Spain

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Shared Task: Biomedical Translation at WMT'24
by Roland Roller 24 Jun '24

24 Jun '24

Dear all, We invite you to participate in this year's biomedical machine translation task at WMT'24 at EMNLP. Our task aims to evaluate the translation quality of scientific documents from the biomedical domain. The test data consists of biomedical abstracts, and it will address the following language pairs: English-French and French-English (en/fr, fr/en) English-German and German-English (en/de, de/en) English-Italian and Italian-English (en/it, it/en) English-Portuguese and Portuguese-English (en/pt, pt/en) English-Russian and Russian-English (en/ru, ru/en) English-Spanish and Spanish-English (en/es, es/en) *Evaluation*: Evaluation will be carried out both automatically and manually. The automatic evaluation will use standard machine translation metrics. In addition, native speakers of each language will manually check the quality of the translation for a small sample of the submissions. If necessary, we also expect participants to support us in the manual evaluation (according to the number of submissions). *Important dates* Release of test data June 27th, 2024 Results submission deadline July 4th, 2024 Paper submission deadline TBA (follows EMNLP) Paper notification TBA (follows EMNLP) Camera-ready version due TBA (follows EMNLP) Conference EMNLP 12-13 November 2024 More information: https://www2.statmt.org/wmt24/biomedical-translation-task.html Best regards, the organizers

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Postdoctoral reasearcher in LLM at IRFM (Institute for Magnetic Fusion Research) at CEA Cadarache, France
by feda.almuhisen＠cea.fr 23 Jun '24

23 Jun '24

You will be recruited to work on the Eurofusion project "Towards Tokamak operations Conversational AI Interface Using Multimodal Large Language Models" All the details are availbel in the following link : https://www.emploi.cea.fr/offre-de-emploi/emploi-postdoctoral-reasearcher-i…

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[CIKM-2024] Deadline extension for Industry Day Papers
by antonela.tommasel＠isistan.unicen.edu.ar 21 Jun '24

21 Jun '24

** NEW DEADLINE ** ** Industry Day deadline June 27th ** =============== =============== * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-industry-day-papers/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) provides an international forum for the presentation and discussion of research on information and knowledge management, as well as recent advances in data and knowledge bases. The purpose of the conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future directions of research by soliciting and reviewing high-quality, applied and theoretical research findings. We call for technical talks which will cover how topics of interest relevant to the broader CIKM community, including but not limited to knowledge management, information retrieval, efficient data processing, neural and large language models, evaluation, recommender systems, data mining, and others found in the CIKM ‘24 Call for Papers are used in an industrial setting. Possible topics include how machine learning is put to use in practical scenarios, how user behavior can be observed and interpreted, how to improve systems in practice, how industrial pipelines can be optimized, and how scale is a challenge in more ways than the obvious. We also encourage talk proposals from small companies, such as startups or spin-offs from either a university project or a large company. -------------------------- Key Dates -------------------------- * Submissions Due: June 20th, 2024 * Notifications: July 16, 2024 * Camera ready for abstracts: August 8, 2024 (All deadlines are at 11:59 pm AOE) The Industry Day of CIKM ’24 will be held on Monday 21st Oct 2024 in Boise, Idaho, USA. -------------------------- Topics of Interest -------------------------- Talks may address challenges, solutions, and case studies of interesting and innovative systems in areas including but not limited to: * Innovative approaches used in deployed systems and products * System design from industry practitioners which identify best practices and design principles for machine learning systems and their scalability aspects * Metrics and measurement techniques used to understand performance of production systems * Practical challenges such as data, privacy, integrity, scale, regulation, etc. * Domain specific challenges and niche focuses * Connections with academia to solve interesting problems, including talk proposals from academics spending time in industry, or vice-versa, covering insights for other practitioners We encourage talk proposals from small companies, such as startups or spin-offs from either a university project or a large company. -------------------------- Paper Submissions -------------------------- Proposals should be at most 2 pages and follow the ACM format. Formatting guidelines are available at the ACM Website (use the ˮsigconf” proceedings template). https://www.acm.org/publications/proceedings-template Submissions should include: * Title and abstract * Speaker's bio * Relevance to above themes and CIKM topics * CIKM is a technical conference, so preference will be given to talks describing applied research and technical challenges rather than product presentations. * Speakers will be asked to confirm their presence at the conference if their submission is accepted. Submissions are not anonymous and should contain speaker details. Proposals should be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=cikm2024 The authors of accepted proposals will be invited to submit an abstract to be published in the conference proceedings. Each presentation will be 15-20 minutes long including Q&A. -------------------------- Chairs Contact Information -------------------------- For more information, contact the Industry Day chairs: cikm2024-industry [at] easychair [dot] org Ilaria Bordino, UniCredit, Italy Udayan Khurana, IBM Research, USA Marc Najork, Google DeepMind, USA

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Fully unded PhD position for project: “Can a robot impersonate a human? Studying machines’ ability to mimic linguistic identity”
by Andrea Nini 21 Jun '24

21 Jun '24

Dear colleagues, I’m pleased to announce that we are recruiting a PhD student for a fully-funded (tuition and stipend) position for the project: “Can a robot impersonate a human? Studying machines’ ability to mimic linguistic identity” funded by an ESRC North West Social Science Doctoral Training Partnership grant. The position is in collaboration with Naimuri<https://naimuri.com> and contains a substantial element of industrial experience. The project will address the following research questions: (1) To what extent can LLMs impersonate a specific individual such that they can fool forensic linguistic detection? (2) How do we modify existing detection methods to mitigate the problems identified in (1)? Details and application form can be found here: https://www.findaphd.com/phds/project/can-a-robot-impersonate-a-human-study…. Best wishes, Andrea ___ Dr Andrea Nini | Senior Lecturer in Linguistics and English Language NG13, Samuel Alexander Building, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK +44 (0) 161 275 8529 | andrea.nini(a)manchester.ac.uk<mailto:andrea.nini@manchester.ac.uk> www.andreanini.com<http://www.andreanini.com>

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2nd CfP: StaGe-Shared Task @ KONVENS 2024
by Regina Stodden 21 Jun '24

21 Jun '24

We invite the community to participate in a text labelling Shared Task regarding the segmentation of statements in German Easy Language (STaGE), co-located at KONVENS 2024 [1] in Vienna, Austria. For more information, visit: https://german-easy-to-read.github.io/statements or https://www.codabench.org/competitions/3244/ [2] Motivation: Assessing the complexity of sentences is still an object of ongoing research. One aspect of sentence complexity is the number of statements. Knowing the different statements conveyed in a sentence is important for numerous NLP tasks, such as extracting the different statements to further simplify the original sentence by separating it into statement-reduced sentences. Another use case is in-depth fact-checking of the isolated statements or the readability evaluation of the text in accordance with Easy Languages guidelines. However, for German, there exists no implementation to extract statements automatically. Our shared task aims to analyze and annotate the number of statements in German Easy language (DE: "Leichte Sprache") texts. We have decided on German Easy Language, since this language variety recommends the usage of sentences with a reduced number of statements. Therefore, it profits from the results and automated analysis implemented in our task. Important dates: * 14.06.2024: Start evaluation 1st phase: Development * 28.06.2024: Start evaluation 2nd phase: Final * 12.07.2024: End evaluation (last submissions possible) * 12.07.2024: Paper submission due (single-blind) * 26.07.2024: Acceptance notification * 02.08.2024: Camera-ready due * 13.09.2024: Workshop date Feel free to contact us via statements(a)soc.cit.tum.de We are looking forward to your participation! Best regards, Miriam Anschütz, Thorben Schomacker & Regina Stodden Links: ------ [1] https://konvens-2024.univie.ac.at/ [2] https://www.codabench.org/competitions/3244/

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Global WordNet Conference 2025 First Call for Papers
by Itziar Gonzalez Dios 21 Jun '24

21 Jun '24

[ Apologies for crossposting ] *Global WordNet Conference 2025 - GWC2025* The Global Wordnet Association is delighted to announce the *13th International Global Wordnet Conference* (GWC2025), to be held in *Pavia (Italy) from 27 to 31 January, 2025*. The GWC2025 conference will be hosted by the Department of Humanities, at the University of Pavia. [image: 📍] *Dates*: 27-Jan-2025 - 31-Jan-2025 *Location*: Pavia, Italy *Meeting Email*: gwc2025pavia(a)unipv.it *Web Site*: https://unipv-larl.github.io/GWC2025/ [image: 🗓️] *Call Deadline*: 07-Oct-2024 We invite submissions of original research contributions addressing, though not limited to, the topics listed below. *Presentations of new WordNets *will be assigned to a dedicated panel. Additionally, proposals for tutorials and demonstrations or panel discussions on *WordNet for ancient languages* are encouraged. Conference topics: - Lexical semantics and meaning representation; - Architecture of lexical databases; - Tools and methods for WordNet development; - Applications of WordNet; - Standardization, distribution and availability of WordNet and WordNet tools See the full call for papers here: https://easychair.org/cfp/gwc2025

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PhD student contract in Natural Language Processing - Nancy, France
by Mathieu Constant 20 Jun '24

20 Jun '24

You can find below an offer for a PhD student contract in Natural Processing at Univ. of Lorraine, Nancy, France. Subject: Automatic generation of explanations for multiword expressions in the context of language learning Thesis supervisors: Mathieu Constant (ATILF, Univ. Lorraine, France) and Patrick Watrin (CENTAL, Univ. of Louvain, Belgium) Thesis funded for three years by the ANR STAR-FLE project Start date: 1 October 2024 Salary: 2135,00 € gross monthly Host laboratory: ATILF (Computer Processing and Analysis of the French Language) Location: Nancy, France Application deadline: July 11, 2024 Scientific background: The successful candidate will join the ATILF, a research unit in language sciences, and in particular the research group on natural language processing (NLP). This research group works, among other things, on exploiting recent NLP models for linguistic modelling (e.g. lexical modelling) with applications in the medical field and language learning. In particular, its work is based on the integration of large (generative) language models and knowledge bases (e.g. scientific textual data, lexical resources). More specifically, the thesis will be part of the STAR-FLE project (STrategic Adaptations for better Reading and Text Comprehension in FFL) funded by the Agence Nationale de la Recherche for 4 years (2024-2027). The project is in the field of computer-assisted language teaching. The aim of STAR-FLE is to gain a better understanding of the difficulties encountered by learners of French as a foreign language (FFL) when faced with the lexicon present in authentic texts. It will propose digital solutions based on natural language processing (NLP) to facilitate text comprehension and enable teachers to better manage heterogeneous levels in the classroom. Contextual aids and personalized vocabulary adaptations are envisaged, particularly for multiword expressions. Objectives: The thesis will focus on multiword expressions. They correspond to combinations of several lexical units which are composed in an irregular manner on one or more linguistic levels (morphology, syntax, semantics, etc.). This term covers a wide variety of phenomena, such as idiomatic expressions (run around in circles, dry run), support verb constructions (take a walk), complex functional units (in spite of), etc. This non-compositionality, which can lead to a certain semantic opacity, can pose problems for learners when reading. In this thesis, the person recruited will develop methods based on new NLP techniques to produce in-context explanatory card enabling learners to better understand these expressions. The production of these cards will be based on the prediction of linguistic properties (e.g. a dry run is not dry), on the generation of natural language explanations using large generative language models (e.g. paraphrases), or on semantic linking to different lexical resources (e.g. to retrieve definitions and lexical neighbors), depending on the context in which the expression occurs. One of the challenges will be to propose explanatory cards adapted to the learner's level. Application requirements and procedures Candidates should have the following skills and profiles: - a Master's degree in computational linguistics, in natural language processing, in computer science or in cognitive science. - very good programming skills - very good skills in recent models of natural language processing (e.g. large language models). Applications should include a cover letter, CV and Master's grades, together with references or one or more letters of recommendation. They should be submitted at the following url: https://emploi.cnrs.fr/Offres/Doctorant/UMR7118-SABMAR-020/Default.aspx?lan… <https://emploi.cnrs.fr/Offres/Doctorant/UMR7118-SABMAR-020/Default.aspx?lan…> For more information, do not hesitate to contact Mathieu Constant (Mathieu.Constant(a)univ-lorraine.fr <mailto:Mathieu.Constant@univ-lorraine.fr>).

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Practical D2T 2024 @ INLG 2024 - First call for papers (data-to-text, neuro-symbolic, shared task)
by Simone Balloccu 20 Jun '24

20 Jun '24

The 2nd Workshop on Practical LLM-assisted Data-to-Text Generation (Practical D2T 2024) While large language models (LLMs) offer to become a viable alternative to traditional rule-based data-to-text (D2T) natural language generation (NLG), they still suffer from well-known neural model issues, such as lack of controllability and risk of producing harmful text. There are many potential solutions to this problem up for discussion. The Practical D2T workshop at INLG 2024 aims to build a space for researchers to discuss and present innovative work on D2T systems using LLMs. Building upon the 2023 edition’s hackathon, Practical D2T 2024 opens up a broader range of activities, including a special track for neuro-symbolic D2T approaches and a shared task in D2T evaluation focused on semantic accuracy. Website: https://practicald2t.github.io/ Practical D2T 2023 at INLG 2023: https://practicald2t.github.io/2023/ Workshop Topic and Content Practical D2T 2024 will be a full-day in-person-only event. We welcome contributions from both original unpublished work and non-archival submissions, in the form of long (8 pages) or short (4 pages) papers, on topics including but not limited to: - Design, implementation and evaluation of LLM-assisted D2T systems - Cross-domain adaption of LLMs for D2T - User perceptions and acceptance of LLM-generated text in D2T - Bias, fairness and red-teaming issues in LLM-assisted D2T systems - Leveraging LLMs for D2T in low-resource languages and domains - Error analysis and debugging techniques for LLM-assisted D2T - Human-in-the-loop approaches for improving LLM-assisted D2T - Comparison between LLM-assisted D2T and traditional symbolic approaches Special Track: Neuro-Symbolic D2T Research is currently seeing a renewed interest in developing systems combining neural and symbolic approaches to improve explainability and reduce dependence on training data. Practical D2T 2024 will feature a special track on neuro-symbolic approaches to D2T. Submissions for papers in the special track follow the same requirements and procedure as the main workshop submissions. Shared task: Improving Semantic Accuracy in LLM-assisted D2T This year will feature a shared task on improving semantic accuracy of D2T systems. Participants will build an LLM-assisted D2T system to generate textual reports from various domains, such as weather forecasting, product descriptions or sports reports. We will provide testing data obtained from public APIs, to limit potential previous exposure to the used LLMs. We encourage participants to focus on system robustness and objective evaluation, rather than metrics scores. Because of this, participants will receive an initial evaluation script, that they are encouraged to change/improve. All submitted system’s outputs will be evaluated against every submitted custom evaluation, and correlated with human ratings. The system reaching the highest correlation with humans will be declared winner of the competition. Results and participants’ system descriptions will be featured in the workshop proceedings. For more info, visit the workshop website: https://practicald2t.github.io/pages/cfp Important dates Note: all deadlines are 23:59 UTC-12. - Evaluation script and data release for known domains (shared task) 24 June - Regular paper submission (main & special track, archival & non-archival): 22 July - Known domains system output submission & surprise domain data release: 29 July - Surprise domain system outputs submission: 5 August - System description submission (shared task): 12 August - Notification of acceptance (main, special track and shared task): 19 August - Camera-ready (main, special track and shared task): 28 August - Workshop: 23/24 September (to be announced) Contacts and more info: Find detailed information about submission, deadlines and contacts on the official Practical D2T 2024 website: https://practicald2t.github.io/ For any query, contact the organiser at d2t2024(a)googlegroups.com If you have any problem with the above mail group, contact balloccu(a)ufal.mff.cuni.cz Organisers Simone Balloccu, Ondřej Dušek, Patrícia Schmidtová, Zdeněk Kasner, Kristýna Onderková, Ondřej Plátek, Mateusz Lango, Ondřej Dušek - Charles University (CZ) Ehud Reiter - University of Aberdeen (UK) Lucie Flek - University of Bonn (DE) Simon Mille - ADAPT Centre (UK) Dimitra Gkatzia - Edinburgh Napier University (UK)

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2025

2024

2023

2022