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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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The 24th IFIP Conference e-Business, e-Services, and e-Society (I3E 2025): Last Mile for Paper Submission
by Announce 02 Jun '25

02 Jun '25

*** Last Mile for Paper Submission *** The 24th IFIP Conference e-Business, e-Services, and e-Society (I3E 2025) September 9-11, 2025, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/i3e2025/ (*** Proceedings to be published by Springer in LNCS ***) (*** Journal Special Issue with Springer's SN Computer Science ***) (*** Final Submission Deadline Extended to June 9, 2025 ***) Conference theme: “Pervasive digital services for people’s well-being, inclusion and sustainable development” OVERVIEW Next-gen digital services contribute to people’s well-being, inclusion, and sustainable development, re-shaping e-business, e-services, and e-society. Such services are pervasive both since they run on a large variety of heterogeneous devices and they permeate various aspects of daily life, by offering accessible and personalised experiences to all individuals. The proposed theme advocates for the design, implementation and operations of novel digital solutions that satisfy the needs of different individuals, while contributing to their well-being and to preserving the Planet. I3E 2025 will collect contributions about the creation and management of user-centric accessible platforms, applications, and services that empower individuals to live healthier and more fulfilling lives. The proposed theme aims at emphasizing how it is possible to leverage different technologies to address pressing societal challenges such as, for instance, healthcare access, education, poverty alleviation, sustainable usage of resources, and social equity, towards a more inclusive and sustainable future. TOPICS OF INTEREST Areas of particular interest include but are not limited to: e-Business • Innovative e-business models • Inter-organizational systems • Business process integration • Business process re-engineering • e-Marketplaces, e-Hubs and portals • Digital goods and products • User behaviour modeling • Mobile business • Enterprise application integration • e-Negotiations, auctioning and contracting • Supply, demand, and value chains • e-Commerce content management • Dynamic pricing models • Trust and security • Mobile Commerce • Business Intelligence • Business Ontologies and Models • E-Business Models e-Services • e-Service composition • Inter-organizational services • e-Collaboration and e-Services • Service-oriented computing • Web services • Semantic web services • Service workflows • Virtual organizations and coalitions • Virtual enterprises and virtual markets • Web 2.0 applications • Agent-oriented e-Services • P2P co-operation models • Ubiquitous, mobile, and pervasive services • Application service management • Services and service management in the cloud-edge continuum • Next-gen AI services • Enterprise Ontologies • Accessibility • Usability e-Society • e-Government (e.g. G2G, G2B, or G2C) • Digital cities and regions • e-Democracy and e-Governance • e-Inclusion to information society • e-Health and e-Education • Public e-Services for citizens and enterprises • One-stop government service integration • Mobile public services • Multimedia and multilingualism • Digital culture and digital divide • Privacy and security • Legal societal and cultural issues • Public-private partnerships • International dimension of e-Gov • E-society and AI • Digital Transformation • Social Computing • Green Computing • Sustainable Technologies • Humanitarian & Emergency Management • Digital Inclusion • Digital Literacy SUBMISSION Authors should submit original, unpublished research papers. All papers must not simultaneously be submitted to another journal or conference. All accepted papers will be published in the conference proceedings. Therefore, submissions should not be under consideration for any other conference or journal outlet. Authors should consult Springer’s authors’ guidelines and use their proceedings templates to prepare their papers (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…). Authors can submit their proceedings articles using the EasyChair platform. Please use the following link: https://easychair.org/conferences/?conf=i3e2025 . Length of papers The most common types of papers accepted for publication are full papers (12 pages) and short papers (7 pages). We only wish to publish papers of significant scientific content. Journal Special Issue Authors of selected papers will be invited to submit an extended and revised version of their paper (with at least 30% additional material) for fast-track review and publication in Springer's SN Computer Science (https://link.springer.com/journal/42979). IMPORTANT DATES • Paper Submission: June 9, 2025 (AoE) (*** final extension! ***) • Author Notification: July 7, 2025 • Camera-Ready: July 14, 2025 • Author Registration: July 14, 2025 ORGANISATION Conference Chair • George A. Papadopoulos, University of Cyprus Conference Co-Chairs • Yogesh K. Dwivedi, Emerging Markets Research Centre (EMaRC) • Georgia Kapitsaki, University of Cyprus • Matti Mäntymäki, University of Turku • Ilias Pappas, Norwegian University of Science and Technology • Marinos Themistocleous, University of Nicosia Program Co-Chairs • Achilleas Achilleos, Frederick University of Cyprus • Stefano Forti, University of Pisa • Angelika Kokkinaki, University of Nicosia

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Deadline extension! IWCS International Conference on Computational Semantics: Final CfP
by Kilian Evang 02 Jun '25

02 Jun '25

16th International Conference on Computational Semantics (IWCS) Heinrich Heine University Düsseldorf 22-24 September 2025 https://iwcs2025.github.io/ DEADLINE EXTENDED New deadline: 13 June 2025, anywhere on Earth FINAL CALL FOR PAPERS IWCS is a biennial conference on computational semantics. This year's edition is organized by Heinrich Heine University Düsseldorf. The conference is endorsed by SIGSEM, the ACL Special Interest Group on Computational Semantics. The aim of the IWCS conference is to bring together researchers interested in any aspects of the computation, annotation, extraction, representation and learning of meaning in natural language, whether this is from a lexical or structural semantic perspective. IWCS embraces both symbolic and machine learning approaches to computational semantics, and everything in between. The conference and workshops will take place 22-24 September 2025. The invited speakers of IWCS 2025 are: Oana-Maria Camburu (University College London) Alexander Koller (Saarland University) Denis Paperno (Utrecht University) We invite paper submissions in all areas of computational semantics, in other words all computational aspects of meaning of natural language within written, spoken, signed, or multi-modal communication. Submissions are invited on these closely related areas: design of meaning representations syntax-semantics interface representing and resolving semantic ambiguity shallow and deep semantic processing and reasoning hybrid symbolic and statistical approaches to semantics distributional semantics alternative approaches to compositional semantics inference methods for computational semantics recognising textual entailment learning by reading methodologies and practices for semantic annotation machine learning of semantic structures probabilistic computational semantics neural semantic parsing computing meaning with large language models computational aspects of lexical semantics semantics and ontologies semantic web and natural language processing semantic aspects of language generation generating from meaning representations semantic relations in discourse and dialogue semantics and pragmatics of dialogue acts multimodal and grounded approaches to computing meaning semantics-pragmatics interface applications of computational semantics SUBMISSION INFORMATION Two types of submission are solicited: long papers and short papers. Both types should be submitted no later than 06 June 2025 (anywhere on earth). Long papers should describe original research and must not exceed 8 pages. Short papers (typically system or project descriptions, or ongoing research) must not exceed 4 pages. Acknowledgments, references, a limitations section (optional), an ethics statement (optional), and a technical appendix (optional, not subject to reviewing) do not count towards the page limit. Accepted papers get an extra page in the camera-ready version and will be published in the conference proceedings in the ACL Anthology. For inclusion in the proceedings, at least one author must register to the conference and present the paper in person. Papers will be accepted either for oral presentation or for a poster presentation. Submissions should be fully anonymous to ensure double-blind reviewing. Style-files IWCS 2025 papers should be formatted following the common two-column structure as used by IWCS 2021 (borrowed from ACL 2021). Please use these specific style-files or the Overleaf template. Style files: https://iwcs2021.github.io/download/iwcs2021-templates.zip Overleaf template: https://www.overleaf.com/latex/templates/instructions-for-iwcs-2021-proceed… Submitting Papers should be submitted in PDF format. Submission link: https://openreview.net/group?id=IWCS/2025/Conference Please contact the program chairs if you have problems using OpenReview. No anonymity period IWCS 2025 does not have an anonymity period. However, we ask you to be reasonable and not publicly advertise your preprint during (or right before) review. Double submission policy Papers that have been or will be submitted to other meetings or publications must indicate this at submission time. Authors of papers accepted for presentation at IWCS 2025 must notify the program chairs by the camera-ready deadline as to whether the paper will be presented. All accepted papers must be presented at the conference to appear in the proceedings. We will not accept for publication or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere. IMPORTANT DATES All dates are anywhere on Earth. Paper submission: 13 June 2025 Notification of acceptance: 01 August 2025 Camera-ready due: 22 August 2025 IWCS conference: 22-24 September 2025 CONTACT Local Organizers Chen Long Rafael Ehren Kilian Evang Laura Kallmeyer Rainer Osswald Christian Wurm Deniz Ekin Yavaş iwcs2025-organizers(a)uni-duesseldorf.de Program Chairs Kilian Evang (Heinrich Heine University Düsseldorf) Laura Kallmeyer (Heinrich Heine University Düsseldorf) Sylvain Pogodalla (INRIA Nancy) iwcs2025-program-chairs(a)uni-duesseldorf.de -- Dr. Kilian Evang · Institut für Linguistik · Universität Düsseldorf Universitätsstr. 1 · 40225 Düsseldorf · https://kilian.evang.name

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R package for dispersion analysis
by Sönning, Lukas 01 Jun '25

01 Jun '25

Announcement: The recently launched {tlda} package facilitates corpus-based dispersion analysis using R. It offers functions to calculate seven parts-based measures, including their frequency-adjusted variants. The package is available on CRAN<https://cran.r-project.org/web/packages/tlda/index.html>. For a brief intro, see the ReadMe<https://github.com/lsoenning/tlda> file on Github. More details can be found in two vignettes, which give a general overview<https://cran.r-project.org/web/packages/tlda/vignettes/dispersion-analysis.…> and discuss the implementation of frequency adjustment<https://cran.r-project.org/web/packages/tlda/vignettes/frequency-adjustment…>. ............................................................................... Dr. Lukas Sönning Otto-Friedrich-Universität Bamberg Lehrstuhl für Englische Sprachwissenschaft einschließlich Sprachgeschichte An der Universität 9 D-96045 Bamberg Tel. +49 (0)951/863-2267 lukas.soenning(a)uni-bamberg.de<mailto:lukas.soenning@uni-bamberg.de> https://lsoenning.github.io/

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🚀 Join Our Research Collaboration Team
by CortexTor Labs 01 Jun '25

01 Jun '25

Work alongside us on innovative projects at the forefront of artificial intelligence. As a research collaborator, you’ll explore a range of impactful topics and contribute to high-quality publications, pushing the boundaries of what's possible in AI. Topics include: 1) Visual Storytelling 2) Talking Face Generation 3) Prompt-Based Media Generation and Editing 4) Multimodal Logical and Mathematical Reasoning 5) Multimodal Causal Reasoning 6) Human-AI Interaction We currently have over 15 interns who will be joining you to support research activities. This collaboration track is open to anyone passionate about research, publication, exploration, or working in a team—whether you're a student, professional, or independent learner. If you're curious and committed, we’d love to collaborate with you. Please note that this research collaboration track is unpaid. Its purpose is to foster teamwork, collective learning, and collaborative problem-solving on complex tasks. If you are interested in this opportunity, then please go through the link: https://cortextor.com/jobs Please feel free to share this with anyone who may be interested in collaborating. If you have any questions or concerns, please do not hesitate to contact me at hr(a)cortextor.com. Thank you. +++++++++++++++++++++++++++++++++ Regards, HR Team, CortexTor Labs, India +91 9997181665 hr(a)cortextor.com https://cortextor.com/

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