- Corpora - ELRA lists

Postdoc Position: Chemical and Protein Language Models , Saarland University, Germany
by Dietrich Klakow 04 Jun '25

04 Jun '25

Postdoc Position: Chemical and Protein Language Models Saarland University, Germany =========================================== The research group is focusing on getting a deeper understanding of how language models work and how they can be applied to biomedical domains. Our recent achievements include a best paper award at COLING 2022 and a best theme paper award at ACL 2023. The ideal candidate for the position would have: 1. Excellent knowledge of LLMs, machine learning and deep learning 2. Excellent programming skills 3. PhD in in a relevant field (e.g. CS) 4. Successful experiences working both independently and as part of a small team Salary: The Postdoc position will be 100% of full time on the German E13 scale (TV-L) which is about 4967€ per month before tax and social security contributions. The appointment 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. 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. We also have close collaborations with the department of bioinformatics and the Helmholtz Institute for Pharmaceutical Research. How to apply: Please send us a letter of motivation, 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 June 18th, 2025. Contact: Applications and any further inquiries regarding our research should be directed to dietrich.klakow(a)lsv.uni-saarland.de

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1 fully-funded PhD on Language Technologies for Cultural Heritage at U. di Bologna (application deadline: July 1st)
by Alberto Barrón-Cedeño 04 Jun '25

04 Jun '25

[apologies for cross-postings] the Department of Interpreting and Translation of University of Università di Bologna [1] is offering one fully-paid three-year PhD grant in the program “Translation, Interpreting, and Intercultural Studies”, starting in November 2025. Besides the monthly stipend, the PhD programme guarantees additional economic support for a 6 to 12 months internship abroad. Project description. LLMs (e.g., Llama, deepseek, Gemini, chatGPT) have turned into pervasive services faster than hardly any previous technology around the world. Still, the quality of their output is highly imbalanced between English and other languages. Despite their successful handling of many complex linguistic tasks, LLMs have a hard time dealing with regional concepts and realia for which not enough data exist online. The PhD should focus on... (a) measuring the level (or lack) of local cultural knowledge by LLMs in multiple languages, (b) measuring the influence of English in LLM-produced texts, both from a linguistic and a cultural point of view, in applications such as machine translation, dialogue and text generation, and (c) designing and implementing strategies to produce and publish high-quality multicultural data and incorporate them in LLMs to boost their local awareness. We focus especially on (Italian) gastronomy. We welcome candidates with relevant backgrounds in natural language processing, digital humanities, and/or translation/linguistics, among others. We encourage students with programming and machine learning skills. For expressions of interest and informal discussion, please contact Prof. Alberto Barrón-Cedeño [2]. For the official application process, please visit: - https://www.unibo.it/en/study/phd-professional-masters-specialisation-schoo… (in English) - https://www.unibo.it/it/studiare/dottorati-master-specializzazioni-e-altra-… (in Italian) (the “official” title of the project is “On the treatment of local cultural concepts by large language models and the societal impact of pervasive Artificial Intelligence”) The student will depart from ongoing work within projects !Translate [3], GastroWiki [4] and GIARA. (S)he will also interact with an ongoing PhD research on NLP applied to gastronomy [5,6], and will join a growing research group with four professors (covering disciplines across computer science and linguistics) and four 2nd- and 3rd-year PhD students. Timeline, all in 2025: - 1st of July: application deadline (notice that the application includes a project proposal, prepared by the applicant). - 1st week of July: short-listing of the best applicants and invitation to oral interviews - Mid July: oral interviews with the commission (in presence or online) - End of July: publication of the final decision - 1st of November: the PhD starts. [1] https://dit.unibo.it [2] https://www.unibo.it/sitoweb/a.barron/en ; https://aclanthology.org/people/a/alberto-barron-cedeno/ [3] https://site.unibo.it/no-translate/en [4] https://site.unibo.it/gastrowiki/ [5] https://www.sciencedirect.com/science/article/pii/S0306457325001360 [6] https://ceur-ws.org/Vol-3878/46_main_long.pdf Best regards, Alberto Barrón-Cedeño -- Alberto Barrón-Cedeño (PhD) Associate Professor (NLP) DIT Università di Bologna https://www.unibo.it/sitoweb/a.barron/

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Extended Deadline: Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
by Manuela Sanguinetti 04 Jun '25

04 Jun '25

Dear Corpora members, we announce that the deadline for submissions to CLiC-it 2025 has been extended to the 16th of June 2025. The final Call for Papers can be found below. Looking forward to seeing you in Cagliari, the CLiC-it chairs ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ CLiC-it 2025 – Eleventh Italian Conference on Computational Linguistics 24 – 26 September 2025, Cagliari, Italy ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Over the years, CLiC-it has evolved into an important forum for the Italian community of researchers in Computational Linguistics (CL) and Natural Language Processing (NLP). CLiC-it aims to promote and disseminate high-quality, original research covering different aspects of automatic language processing, involving both written and spoken language. Furthermore, it seeks to showcase cutting-edge theoretical findings, experimental methodologies, technologies, and application perspectives. The spirit of the conference is inclusive. Recognizing the multifaceted nature of language phenomena and the need for interdisciplinary expertise, CLiC-it aims to bring together researchers from different fields including Computational Linguistics and Natural Language Processing, Linguistics, Cognitive Science, Machine Learning, Computer Science, Knowledge Representation, Information Retrieval, and Digital Humanities. CLiC-it welcomes contributions focusing on all languages, with a particular emphasis on Italian. CLiC-it 2025 will be held in Cagliari, from the 24th to the 26th of September. CLiC-it is organised by the Italian Association of Computational Linguistics (AILC — http://www.ai-lc.it/). ➢ CONFERENCE TOPICS CLiC-it 2025 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to (in alphabetical order): Computational Historical Linguistics Computational Social Science and Cultural Analytics Dialogue and Interactive Systems Discourse and Pragmatics Ethics and NLP Generation Handwritten Text Recognition Information Extraction Information Retrieval and Text Mining Interpretability and Analysis of Models for NLP Language Grounding to Vision, Robotics and Beyond Large Language Models Linguistic Diversity Linguistic Theories, Cognitive Modeling, and Psycholinguistics Machine Learning for NLP Machine Translation Multilingualism and Cross-Lingual NLP NLP Applications NLP for the Humanities Phonology, Morphology, and Word Segmentation Pragmatics and Creativity Question Answering Resources and Evaluation Semantics: Lexical, Sentence-level Semantics, Textual Inference, and Other Areas Sentiment Analysis, Stylistic Analysis, and Argument Mining Speech and Multimodality Summarization Syntax: Tagging, Chunking and Parsing ➢ RESEARCH COMMUNICATION CLiC-it 2025 adopts a parallel submission policy for outstanding papers accepted in 2024 and 2025 by major publication venues, namely the major international CL conferences (workshops excluded) or international journals. These contributions can be submitted to CLiC-it 2025 as short research communications. Research communications will not be published in the conference proceedings, they serve primarily to promote the dissemination of high-quality research within the Italian CL community. Submitted research communications must be in the scope of the CLiC-it 2025 conference. The authors of papers that meet the above criteria are invited to submit a written (maximum) one-page abstract of the original paper, including the paper’s title and authors as well as a pointer to the original conference or journal where the paper was published. If needed, research communications will undergo a selection process overseen by the conference chairs. Since these papers have already been reviewed, the selection criteria will primarily consider their original publication venue. Priority will be granted to papers that align most closely with the conference program, ensuring a balanced representation across various conference topics. The research communication papers will be presented at the conference either orally or as a poster according to the number of submissions received. ➢ PAPER SUBMISSION Submitted papers must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. CLiC-it 2025 allows for a multiple submission policy. In case of acceptance of the paper in other venues, the authors must communicate this information to the CLiC-it 2025 Chairs as soon as possible. Papers may consist of at least six (6) and no more than eight (8) pages of content and up to three (3) pages of references. Supplementary material is also allowed, but it should not exceed one (1) page in length. Authors are reminded that all relevant content should be included in the main text of the paper. Upon acceptance, final versions of the papers will be given one additional page of content so that reviewers’ comments can be taken into account. Papers will be evaluated according to the following criteria: soundness of approach relevance to computational linguistics novelty and clarity of relation with related work quality of presentation quality of evaluation (if applicable) verifiability and ability to replicate (if applicable) Papers can be either in English or Italian, with the abstract in English. Accepted papers will be published on-line and will be presented at the conference either orally or as a poster. *All accepted papers must be presented at the conference to appear in the proceedings.* Reviewing will NOT be blind, so there is no need to remove author information from manuscripts. The required template for CLiC-it submissions must be compatible with CEUR (https://ceur-ws.org/). You can download the conference-adapted version at the following links: LaTeX template https://clic2025.unica.it/wp-content/uploads/2025/02/CLiC-it-2025-template.… Word template https://clic2025.unica.it/wp-content/uploads/2025/02/CLiC_it_2025_template.… Should you encounter any issues with the compilation (as the CEUR template has historically presented some challenges and is not modifiable without risking exclusion from the proceedings), we provide a read-only Overleaf template: https://www.overleaf.com/read/hzyckyjzwhwb#06b27c This template can be accessed and cloned to help resolve any technical difficulties. Papers and research communications must be submitted through the START platform using the following link: https://softconf.com/p/clic-it2025 For research communications, the appropriate track should be selected. ➢ AWARDS To acknowledge the contribution of young researchers to the field, the title of “best paper” will be awarded to outstanding papers, provided that a Master’s or PhD student is the first author and presents the work at the conference. Recipients of this award will be invited to submit an extended version of their papers to the Italian Journal of Computational Linguistics (IJCoL). To recognise excellence in student research as well as promote awareness of our field, AILC is also conferring the “Emanuele Pianta” prize for the best Master Thesis (Laurea Magistrale) in Computational Linguistics submitted at an Italian University. The prize consists of 500 Euros plus free membership to AILC for one year and free registration to the upcoming CLiC-it. ➢ IMPORTANT DATES 16/06/2025 [EXTENDED]– Paper submission deadline: regular papers and research communications 21/07/2025 – Notification to authors of reviewing/selection outcome 04/08/2025 – Camera ready version of accepted papers 24-26/09/2025 – CLiC-it 2025 Conference, Cagliari ➢ PEOPLE Conference Chairs: Cristina Bosco (University of Torino) Elisabetta Jezek (University of Pavia) Marco Polignano (University of Bari) Manuela Sanguinetti (University of Cagliari) Senior Program Committee: Elisa Bassignana (IT University of Copenhagen) Pierluigi Cassotti (University of Gothenburg) Simone Conia (University of Rome “La Sapienza”) Elisa Di Nuovo (Joint Research Centre European Commission – Ispra) Claudiu Daniel Hromei (University of Rome “Tor Vergata”) Antonio Origlia (University of Naples “Federico II”) Ludovica Pannitto (University of Bologna) Beatrice Savoldi (Fondazione Bruno Kessler) Gabriele Sarti (University of Groningen) Lucia Siciliani (University of Bari) Irene Siragusa (University of Palermo) Rossella Varvara (University of Turin – University of Pavia) Alessandro Vietti (University of Bolzano) Local Organizing Committee: Maurizio Atzori (DMI, University of Cagliari) Andrea Loddo (DMI, University of Cagliari) Alessandro Pani (DMI, University of Cagliari) Alessandra Perniciano (DMI, University of Cagliari) Luca Zedda (DMI, University of Cagliari) Web chairs: Maurizio Atzori Andrea Loddo ➢ FURTHER INFORMATION Mail: clicit2025cagliari(a)gmail.com

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[CFP] 1st Workshop on the Application of LLM Explainability to Reasoning and Planning at COLM 2025
by ACL Announcements 04 Jun '25

04 Jun '25

1st Workshop on the Application of LLM Explainability to Reasoning and Planning at COLM2025 Website: https://xllm-reasoning-planning-workshop.github.io/ Submission Deadline: June 23, 2025 We are thrilled to announce the First Workshop on the Application of LLM Explainability to Reasoning and Planning at COLM 2025. Enabling large language models (LLMs) to reason (e.g., arithmetic reasoning, symbolic reasoning, commonsense reasoning, etc.) and plan (e.g., path-finding, tool use, web navigation, computer use, etc.) has been a popular topic in the past few years. Despite the exciting achievement, there have also been growing concerns about the safety and trustworthiness of these LLM applications, due to our large "unknowns" on how LLMs achieve these capabilities and where they could fail. On the other hand, LLM explainability (broadly including any research explaining or interpreting LLMs) has also attracted increasing attention, but existing research has mostly focused on simplified tasks and hardly yields insights that can be directly applied to realistic reasoning and planning tasks. This discrepancy has consequently raised doubts about the practical meaning of LLM explainability research. In this workshop, we aim to bring together researchers from various perspectives to discuss the potential and practical applications of model explainability to advancing LLM reasoning and planning. Specifically, the workshop welcomes submissions on the following topics (non-exclusively): Local explanations (e.g., feature attribution, textual explanations, including CoT type) of LLMs in reasoning and/or planning tasks; Global explanations (e.g., mechanistic interpretability) of LLMs in reasoning and/or planning tasks; Applications of explainability to enhance LLM's effectiveness in reasoning and/or planning tasks; Applications of explainability to enhance LLM's safety and trustworthiness in reasoning and/or planning tasks; User interface development driven by LLM explanations; Human-LLM collaboration and teaming driven by explanations; and Explainability-driven, automatic, or human-in-the-loop LLM evaluation. We warmly invite researchers from both academia and industry with interests in LLM explainability, reasoning, and planning for participation. IMPORTANT DATES Submission deadline: June 23, 2025, 23:59 AoE Acceptance notification: July 24, 2025 WEBSITE: https://xllm-reasoning-planning-workshop.github.io/ Google Group (join for latest updates via email): https://groups.google.com/g/xllm-reasoning-planning-workshop ORGANIZERS: Daking Rai, George Mason University Ziyu Yao, George Mason University Hanjie Chen, Rice University Mengan Du, New Jersey Institute of Technology Shi Feng, George Washington University Q.Vera Liao, Microsoft Research/University of Michigan Andreas Madsen, Guide Labs Abulhair Saparov, Purdue University Yilun Zhou, Salesforce Research CONTACT: xllmreasoningplanningworkshop(a)gmail.com

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ELLIS ESSIR 2025 – European Summer School on Information Retrieval
by Ingo Frommholz 03 Jun '25

03 Jun '25

** Early-bird rate deadline extended! ** Join us in Wolverhampton for a week of IR, AI, NLP, HCI and lots of discussion with experts in a friendly environment! ELLIS ESSIR 2025, the European Summer School on Information Retrieval, will take place July 7-11 in Wolverhampton, UK. https://2025.essir.eu/ The registration is open and ear-bird deadline was extended – https://2025.essir.eu/attending/registration Travel support is available – https://2025.essir.eu/attending/travel-support About the School The European Summer School on Information Retrieval (ESSIR) is held regularly, providing high-quality teaching of Information Retrieval (IR) and advanced IR topics to an audience of researchers and research students. The mission of the school is to enable students to learn about modern research challenges and methods on IR and related disciplines like AI and NLP; to stimulate scientific research and collaboration in these fields; and to grow a community of researchers, students, and industry professionals working on IR with collaborations all around the world. ELLIS ESSIR will offer a rich programme of high-profile and world leading lecturers in Information Retrieval, NLP and AI. Taught topics include: Introduction to Information Retrieval and Evaluation Generative AI and Information Retrieval Scholarly Document Processing and Retrieval UX and HCI with Information Retrieval Neural Re-ranking RAG and agentic IR Explainability in AI The Future Directions in Information Access (FDIA 2025) symposium will be held along ESSIR. Please visit https://2025.essir.eu/ for further information, travel support and registration. For additional enquiries, please contact essir-2025(a)googlegroups.com <mailto:essir-2025@googlegroups.com>. We are looking forward to welcoming you in Wolverhampton! -- Univ.-Prof. Dr. Ingo Frommholz (he/him), PhD, Dipl.-Inform., FBCS, FHEA Professor of Applied Data Science, Modul University Vienna, Austria Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Bluesky: @ifromm.bsky.social | Mastodon: @ingo@idf.social

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NLP and vision online seminars (NLPV) at the University of Exeter - upcoming talks in June
by h.dong2＠exeter.ac.uk 03 Jun '25

03 Jun '25

Dear colleagues, We are pleased to invite you to join the NLP and vision seminars (NLPV). This is a talk series supported by the Institute for Data Science and Artificial Intelligence (IDSAI) at the University of Exeter. We update talks and their recordings on the website: https://sites.google.com/view/neurocognit-lang-viz-group/seminars The recent two talks are listed below: Talk 1 12 June 2025, 3-4pm: Prof Yulan He at King's College London Zoom link: https://Universityofexeter.zoom.us/j/94376040685?pwd=UvLl8gKZnVoa4PNpv40jTh… (Meeting ID: 943 7604 0685 Password: 582538) Title: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalisable Reasoning Abstract: While Large Language Models (LLMs) excel at many reasoning tasks, they still struggle with robustness, cross-task generalisation, and efficient scaling. Current training approaches, such as next-token prediction, reinforcement learning, and prompt optimisation, offer performance improvements but often lack adaptability across diverse tasks. In this talk, I will advocate for a transformative shift in how LLMs approach reasoning by introducing a Bayesian meta-reasoning framework that equips them with self-awareness, monitoring, evaluation, regulation, and meta-reflection. This framework aims to enhance LLMs' ability to refine reasoning strategies and generalise more effectively. I will discuss key challenges in current approaches and outline future directions for developing more adaptable and generalisable LLMs. Speaker's short bio: Yulan He is a Professor in Natural Language Processing at the Department of Informatics in King’s College London. She is currently holding a prestigious 5-year UKRI Turing AI Fellowship. Her recent research focused on addressing the limitations of Large Language Models (LLMs), aiming to enhance their reasoning capabilities, robustness, and explainability. She has published nearly 300 papers on topics such as self-evolution of LLMs, mechanistic interpretability, and LLM for educational assessment. She received several prizes and awards for her research, including an SWSA Ten-Year Award, a CIKM Test-of-Time Award, and was recognised as an inaugural Highly Ranked Scholar by ScholarGPS. Talk 2 26 June 2025, 3-4pm: Dr Tanja Samardžić at the University of Zurich Zoom link: https://Universityofexeter.zoom.us/j/97673721568?pwd=6IAO875zCe1GjYsFN2vig8… (Meeting ID: 976 7372 1568 Password: 548777) Title: Understanding text tokenisation across diverse languages Abstract: Large language models (LLMs) are commonly said to be trained on raw text, but, in fact, they are trained on tokenised text, segmented into small, subword units (tokens). For example, a popular tokenizer splits the word 'plausible' into 'pl aus ible'. Somewhat surprisingly, general data compression algorithms such as BPE turned out more efficient than linguistic subword analyses when used as tokenizers in the context of training LLMs. These algorithms seem to find recurrent patterns that are well exploited by neural networks despite being linguistically incorrect. In this talk, I will show that, despite the perceived linguistic inadequacy, structural features of languages can be extracted from text data by tracking the text compression steps in subword tokenisation. I will present several studies showing that exploiting these features more directly allows us improve cross-lingual transfer and multilingual fairness of pre-trained LLMs. Speaker's short bio: Dr Tanja Samardžić is a researcher in multilingual text processing with a background in language theory and machine learning. She teaches Natural Language Processing (NLP) at the University of Geneva (as a senior deputy lecturer) and collaborate on research projects of the NLP Group at IDSIA. She is one of the co-founders of ReLDI Centre Belgrade. She holds a PhD in Computational linguistics from the University of Geneva, where she studied in the group Computational Learning and Computational Linguistics (CLCL). After the PhD, She was the Head of the Text Group and a lab director (alternating) of the Language and Space Lab at the University of Zurich (2013-2024), a Visiting Scholar at the University of Cambridge (2024) and a Visiting Researcher at the IT University Copenhagen (2022). She is committed to promoting and facilitating the use of computational approaches in the study of language. Currently, she serves as a ACL Rolling Review Senior Area Chair, a UniDive COST Action Managing Committee Member and an External Governing Board Member of the SMASH Postdoctoral Program. Joining our *Google group* for future seminars and research information: https://groups.google.com/g/neurocognition-language-and-vision-processing-g… Best regards, Hang Dong (on behalf of Aline Villaviencio, Rodrigo Wilkens, Yanda Meng) Lecturer in Computer Science University of Exeter

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1 PhD position in Linguistics as part of the ARMADA project – a Marie Skłodowska-Curie Doctoral Network (University of Verona, Italy)
by Valeria Franceschi 03 Jun '25

03 Jun '25

The ARMADA project aims to address critical issues related to the reliability and quality of Large Language Models (LLMs) such as ChatGPT and Bard. ARMADA seeks to develop solutions that make these AI systems more trustworthy, coherent, and verifiable. The project will train 15 early-stage researchers across nine research groups, focusing on interdisciplinary approaches that combine Artificial Intelligence, Machine Learning, Natural Language Processing, and social sciences. The position in linguistics will work on the analysis of bias in training materials for chatbots/LLM via linguistic corpora analysis. The doctoral student will be enrolled in the doctoral program of Foreign Literatures and Languages at the Department of Foreign Languages and Literatures of the University of Verona. For further information and requirements, read the complete call at: https://euraxess.ec.europa.eu/jobs/342476 ---------------------------------------- Valeria Franceschi, Ph.D Associate Professor English Language, Translation and Linguistics (ANGL-01/C) University of Verona Department of Foreign Languages and Literatures Palazzo di Lingue, Piano 3, studio 3.07 Lungadige Porta Vittoria 41 37129 Verona (VR) Phone: 0458028729

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Job : Ph.D. student : Standardization and automated correction of learners' written productions
by Thomas François 02 Jun '25

02 Jun '25

L'UCLouvain recherche un chercheur ou une chercheuse pour un doctorat en traitement automatique du langage - bourse de doctorat à temps plein (100%) pour une durée de deux ans, renouvelable une fois sous conditions - pour le Centre de traitement automatique du langage (Cental), de l'Institut langage et communication (ILC) à l’UCLouvain (Louvain-la-Neuve) - entrée en fonction: 1er septembre 2025 (négociable) Cette proposition de bourse de doctorat s’articule sur les travaux récents réalisés par le Centre de traitement automatique du langage (CENTAL) sur des données de productions écrites d’apprenants du français langue étrangère. Reposant sur une collaboration féconde avec FEI (France Éducation International), ces recherches ont déjà abouti dans une solution de correction automatisée des épreuves écrites du TCF, FIDELIA (https://www.france-education-international.fr/actualites/lettre-fei/2024-06…). Dans ce projet, nous visons à dépasser la simple caractérisation de la compétence écrite des apprenants de FLE, en détectant automatiquement les erreurs qu’ils commettent afin de les corriger (= normalisation). Ce projet vise à combler l’absence de travaux en matière de normalisation et de correction neuronale des erreurs d’apprenants en français et s’inscrit dans la logique du centre K de l’UCLouvain (CLARIN). La détection des erreurs d’apprenants et leur normalisation ouvrent de nombreuses perspectives : correction automatisée, génération de feedback, amélioration des recherches sur corpus grâce à la forme normée, etc. Pour ce faire, ce projet visera trois objectifs principaux : 1. Constituer un corpus parallèle (version originale et normalisée) pour 6569 textes d’apprenants rédigés dans le cadre d’un examen officiel de français, le TCF. Ce corpus, rassemblé en collaboration avec France Éducation Internationale, constitue une ressource unique pour le français (Wilkens et al., 2022). Il s’agira de le normaliser manuellement (i.e. identifier et corriger les erreurs), mais aussi de les classer selon une typologie inspirée de Granger (2003). 2. Profiter des dernières avancées en matière d’apprentissage profond pour exploiter ce corpus annoté et concevoir un système automatisé capable de (1) normaliser les productions d’apprenants en français et (2) de les catégoriser en fonction de notre typologie. Nous comparerons cette solution aux performances des modèles génératifs de type ChatGPT, qui ne nécessitent pas de données d’entraînement (zero-shot learning). 3. Exploiter les méta-données du corpus (niveau CECR et langue maternelle) pour décrire (1) les types d’erreurs typiques de chaque niveau CECR ; (2) les erreurs typiques de locuteurs ayant une langue maternelle donnée et (3) l’interaction entre ces deux variables, à savoir comment les erreurs se distribuent par niveau en fonction de la langue maternelle. Au sein de projet, le rôle du doctorant ou de la doctorante engagé consistera à mener l’essentiel de la recherche, à savoir réaliser les trois étapes décrites ci-dessus. Le chercheur ou la chercheuse devra également assurer la diffusion des résultats obtenus via des publications scientifiques et rédiger une thèse de doctorat. Il ou elle sera amené à collaborer étroitement avec les autres membres de l’équipe en vue d’assurer la bonne réalisation de ces tâches. Environnement de travail Le CENTAL est rattaché à l’Institut Langage & Communication (https://uclouvain.be/fr/instituts-recherche/ilc), qui fait partie de l’UCLouvain. Cette université est située à Louvain-la-Neuve (https://uclouvain.be/fr/sites/louvain-la-neuve), une ville piétonne, agréable à vivre et très dynamique. Le projet de recherche sera réalisé sous la direction du Pr. Thomas François (https://cental.uclouvain.be/team/tfrancois/), expert en lisibilité et en simplification automatique de la langue et du Dr. Patrick Watrin (https://www.linkedin.com/in/pwatrin/?originalSubdomain=be), expert dans les larges modèles de langue appliqués à la recherche d’information et le traitement numérique des corpus. Qualifications et aptitudes requises Le candidat répondra aux qualifications suivantes : * Être porteur d’un master en Linguistique computationelle, en Traitement automatique du langage (TAL) ou en Informatique (option en Intelligence artificielle). * Faire montre d’un excellent parcours académique * Disposer de bonnes compétences informatiques : * langages de programmation : Python, R (ou similaire) * la connaissance de scikit-learn, pandas, tensorflow/keras et/ou pytorch * systèmes : Linux de préférence * Bonne connaissance des principaux outils et algorithmes du TAL. La connaissance des réseaux de neurones profonds est un plus. * Excellente maîtrise du français (niveau C1 minimum) et bonne connaissance de l’anglais (niveau B2 minimum) * Autonomie, curiosité, sens du travail en équipe, capacité d’écoute et d’analyse des besoins, réactivité. Conditions d’engagement : Cette bourse de doctorat est soumise aux conditions suivantes : * Le candidat ou la candidate, suite à la procédure de recrutement, devra encore être approuvée par le Conseil de Recherche de l’UCLouvain. * À la date d’engagement, le doctorant doit être titulaire depuis au maximum 3 ans* d’un grade académique de master 120 crédits ou d’un grade reconnu comme équivalent. * Le candidat ou la candidate devra se domicilier en Belgique pendant la durée du contrat de bourse. * Le montant net de la bourse est d’environ 2 500 euros par mois. * Pour voir sa bourse être renouvelée pour une période de deux ans supplémentaires, le candidat ou la candidate devra soumettre une demande de financement auprès du FNRS et être classé à minima au rang « A » ainsi qu’avoir réussi son épreuve de confirmation. * Le délai maximum fixé ci-dessus est augmenté d’une année par accouchement et/ou par adoption. Dossier de candidature : Date limite de remise du dossier : 1er juillet Si vous êtes intéressé par ce poste, merci d'envoyer votre dossier de candidature à Thomas François (thomas.francois(a)uclouvain.be<mailto:thomas.francois@uclouvain.be>) et Patrick Watrin (p<mailto:patrick.watrin@uclouvain.be>atrick.watrin(a)uclouvain.be<mailto:patrick.watrin@uclouvain.be>) par mail. Celui-ci devra inclure : 1. un curriculum vitae détaillé en français ou anglais reprenant les différentes qualifications et aptitudes requises, les détails de votre parcours académique (grades, listes de cours), ainsi que les éventuelles publications et autres expériences académiques et scientifiques ; 2. une lettre de motivation en français, décrivant votre intérêt pour le poste, comment votre profil répond à la description du poste et aux objectifs du projet, etc. (maximum 2 pages) ; 3. une lettre de référence en français ou en anglais de la part d’un ou d’une de vos professeur(e)s. 4. Un « academic statement » : une déclaration académique concise dans laquelle vous exposez vos attentes vis-à-vis de vos études de troisième cycle (doctorat), ainsi que vos objectifs de carrière.  Les candidats retenus seront invités à participer à un entretien via vidéo-conférence selon des modalités qui leur seront ensuite transmises par mail. Plus d'informations : Les questions concernant le poste ou la procédure de candidature doivent être envoyées par e-mail à Thomas François (thomas.francois(a)uclouvain.be<mailto:thomas.francois@uclouvain.be>) et à Patrick Watrin (patrick.watrin(a)uclouvain.be<mailto:patrick.watrin@uclouvain.be>) avant le 20 juin. Thomas François Chargé de cours en linguistique appliquée Faculté de Philosophie, Arts et Lettres Université catholique de Louvain Institut Langage et Communication, PLIN, CENTAL et TeaMM Place Montesquieu, 3 - box L2.06.04 • B-1348 Louvain-la-Neuve • Belgium Tél. : +32 (0)10 / 47 37 36

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LeWiDi - Second call for participation
by Casola, Silvia 02 Jun '25

02 Jun '25

LeWiDi: Shared task on Learning With Disagreement - Second call for participation We'd like to invite researchers in disagreement and variation to participate in the third edition of the LeWidi shared tasks held in conjunction with the NLPerspectives workshop at the EMNLP conference in Suzhou, China. The LeWiDi series is positioned within the growing body of research that questions the practice of label harmonization and the reliance on a single ground truth in AI and NLP. This year's shared task challenges participants to leverage both instance-level disagreement and annotator-level information in classification. The proposed tasks include ones that address disagreement in both generation and labeling—with a dataset for Natural Language Inference (NLI) and another for paraphrase detection—as well as subjective tasks, including irony and sarcasm detection. Competition webpage: https://www.codabench.org/competitions/7192/ ==== Subtasks and datasets ==== Participants will be able to submit to subtasks exploring different types of disagreement through dedicated datasets: 1. The Conversational Sarcasm corpus (CSC) – a dataset of context+response pairs rated for sarcasm, with ratings from 1 to 6. 2. The MultiPico dataset (MP) – a crowdsourced multilingual irony detection dataset. Annotators were tasked to detect whether a reply was ironic in the context of a brief post-reply exchange on social media. Annotators ids and metadata (gender, age, nationality, etc) are available. Languages include Arabic, German, English, Spanish, French, Hindi, Italian, Dutch, and Portuguese. 3. The Paraphrase dataset (Par) – a dataset of question pairs for which the annotators had to tell whether the two questions are paraphrases of each other, using values on a Likert scale. 4. TheVariErrNLI dataset (VariErrNLI) – a dataset originally designed for automatic error detection, distinguishing between annotation errors and legitimate human label variations in Natural Language Inference. Participants will be able to submit to one or multiple datasets. ==== Tasks and Evaluation ==== In this edition, only soft evaluation metrics will be used. We will however experiment with two forms of tasks and evaluation: * TASK A (SOFT LABEL PREDICTION): Systems will be asked to output a probability distribution of the values. EVALUATION: the distance between this predicted soft label and that resulting from human annotations will be computed. * TASK B (PERSPECTIVIST PREDICTION): Systems will be asked to predict each annotator's label on items. EVALUATION: a measure of correctness of the predictions Participants will be able to submit to one or both tasks. ==== Important Dates ==== Training data ready: May 15th 2025 Evaluation Starts: June 15th 2025 Evaluation Ends: July 10th 2025 Paper submission due: August 1st, 2025 Notification to authors: August 25th, 2025 Camera-ready deadline: September 12, 2025 NLPerspectives workshop: November 8, 2025 We are looking forward to your submission! The LeWidi team

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Deadline extension: BriGap-2, Bridges and Gaps between Formal and Computational Linguistics (an IWCS 2025 workshop)
by Timothée Bernard 02 Jun '25

02 Jun '25

New deadline: *13 June 2025*, anywhere on Earth Venue: IWCS 2025 (https://iwcs2025.github.io/), Düsseldorf, Germany Date: *September 24th, 2025* (main conference: 22nd-23rd) Workshop website: https://brigap-workshop.github.io/ BriGap-2 is a venue for linguists and NLP scientists to meet: what fruitful interactions can we have? How do we build upon each other’s work? * Description * In recent years, the natural language processing (NLP) community has shifted its focus towards engineering questions. This state of affairs is in no small part due to the recent technical advances that have transformed NLP as a field. In the current large language model (LLM) era, much of what was deemed near impossible to achieve a few years prior is now taken for granted and it stands to reason that mapping how far ahead new computational models have advanced the field has become a central topic for the NLP community. Hence, the current ongoing discourse in NLP focuses more on what can be achieved through language rather than studying language for its own sake. It seems thus that computational and formal linguistics are now separate domains, and that the former is no longer rooted in the latter. To what extent are these traditions truly divorced, and what fruitful bridges can be (re)built? To answer these questions, the second iteration of the workshop on Bridges and Gaps between Formal and Computational Linguistics (BriGap-2) intends to provide a space for formal linguists, computational linguists, and NLP scientists to exchange their perspectives on how their different domains of research can build upon one another. * Workshop topics * - investigation of the linguistic properties of machine learning models, - linguistic representations, vector space semantics, and their relations with theoretical concepts such as compositionality, - use of information-theoretical and computational methods for linguistic inquiry, - formal distributional semantics and neural-symbolic integration for NLP, - formal grammars, symbolic structures and their applications for computational linguistics and NLP, - trends in the history of computational linguistics and NLP, - … * Invited speakers * - Anna ROGERS, IT University of Copenhagen - Kees VAN DEEMTER, Universiteit Utrecht * Submission details * The workshop accepts both archival (original and unpublished research) and non-archival (work-in-progress, dissemination of research published or accepted elsewhere, etc.) submissions in either short (up to 4 pages) or long (up to 8 pages) format. Camera-ready versions of papers will be given one additional page of content so that reviewers’ comments can be taken into account. Each submission should mention whether it targets archival or non-archival status. Archival papers accepted at BriGap-2 will be indexed in the ACL Anthology. Please use the ACL style templates available here: https://github.com/acl-org/acl-style-files The submissions need to be done in PDF format via OpenReview, using the following link: https://openreview.net/group?id=IWCS/2025/Workshop/BriGap-2 * Important dates * - Submission deadline:* Friday, June 13th 2025* - Notification of acceptance: Friday, August 1st 2025 - Workshop: *September 24th, 2025* (main conference: 22nd-23rd) * Contact * For questions, please send an email to brigapworkshop(a)gmail.com or contact one of the workshop chairs: - Timothée Bernard, Université Paris Cité, timothee.bernard(a)u-paris.fr - Timothee Mickus, University of Helsinki, timothee.mickus(a)helsinki.fi - Grégoire Winterstein, Université du Québec à Montréal, winterstein.gregoire(a)uqam.ca

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2026

2025

2024

2023

2022