April 2026 - Corpora

KONVENS 2026: Final Call For Papers & Deadline Extension
by heike.zinsmeister＠uni-hamburg.de 27 Apr '26

27 Apr '26

(apologies for cross-posting; please redistribute) KONVENS 2026 FINAL Call for Conference Papers & Deadline Extension! https://konvens2026.uni-hamburg.de/ We are delighted to share the second call for papers with you for Konferenz zur Verarbeitung natürlicher Sprache (KONVENS) 2026, organized under the auspices of the GSCL, the DGfS-CL, the ÖGAI, and SwissNLP. This year’s KONVENS will take place in Hamburg, September 14 – 17 under the special theme “Context Matters: NLP Beyond Text”. The conference will include a diverse program including talks by our two keynote speakers: * Dr. Valentin Hoffmann, Allen Institute for AI * Prof. Dr. Barbara Plank, LMU Munich. We invite the submission of long and short papers featuring substantial, original, and unpublished research on Natural Language Processing and Computational Linguistics, to be archived in the ACL Anthology, as well as abstract submissions that describe research in progress or published elsewhere. Beyond standard research contributions, submissions are welcome that present negative results, survey an area, introduce new resources, articulate a position, report novel linguistic insights obtained using existing computational methods, or reproduce (successfully or not) previous findings. We welcome the following types of paper submissions: * Long papers (up to 8 pages plus references), describing original research with substantial new results. * Short papers and demos (up to 4 pages plus references), including small and focused contributions, work in progress, as well as descriptions of projects, systems and resources. * Abstracts (1 page, non-archival), which will be presented at the poster session and printed in the proceedings, but which will be non-archival. We especially invite submission on ongoing projects, student projects, past or ongoing bachelor and master theses, ongoing or recently completed PhD theses, and opinion pieces in this category to foster interaction and discussion in our community. Papers can be submitted either to the main conference track or to the special track “Context Matters”. Context Matters Track The widespread use of large language models (LLMs) and other types of language technology in research and real-world applications has fundamentally reshaped how natural language processing (NLP) systems interact with people and their environments. As NLP systems increasingly operate in socially embedded, high-impact settings like search, conversational agents and recommendation systems in business, education, medicine, law, and beyond, it becomes crucial to move beyond text in isolation and to account for the many forms of context that shape language use and interpretation. These include user-related factors (e.g., identity aspects like socio-demographic characteristics and the resulting perspectival differences), cultural and societal context, interaction history, application constraints, and signals from other modalities. The “Context Matters” track focuses on how different forms of context influence NLP systems, their design, their behavior, and their use. We invite work that studies NLP not as decontextualized text processing, but as situated technology embedded in human, social, disciplinary, and multimodal environments. Here, disciplines and application domains are important not only as areas of use, but as sources of structured contextual knowledge, perspectives, and methodological traditions — particularly from the social sciences and humanities, but also law, education, psychology, economics, and the natural sciences. In particular, the special theme includes: * Research that models user- and group-related context, such as identity aspects, socio-demographic variables, cultural background, or perspectival differences, and examines how these factors affect language use, system behavior, or system impact * Work that draws on or operationalizes concepts from other disciplines like the social sciences and related fields (e.g., social theory, cultural analysis, behavioral perspectives) to better understand linguistic phenomena, system outputs, or evaluation settings * Research analyzing social, societal, and institutional context, including norms, power structures, and real-world deployment environments, especially with respect to ethics, bias, and societal consequences * Studies of application context, where domain-specific constraints (e.g., in education, law, public administration, or the natural sciences) shape both language use and system requirements * Approaches that move beyond text-only processing and integrate multiple modalities (e.g., vision, audio, video, sensor data), with attention to the distinct contextual signals these modalities introduce * Work incorporating interactional context, such as dialogue history, user intent, and evolving human–AI interaction dynamics While the modelling component should include language, we especially encourage contributions that treat language as part of a broader contextual ecosystem, aiming toward more grounded, adaptive, and socially aware NLP systems. Papers must be in English and formatted in accordance with the ACL style sheet https://github.com/acl-org/acl-style-files and submitted via the submission link: https://openreview.net/group?id=GSCL.org/KONVENS/2026/Conference Please consider the OpenReview policy for new accounts: * New profiles created without an institutional email will go through a moderation process that can take up to two weeks. * New profiles created with an institutional email will be activated automatically. KONVENS also adopts the ACL policies for submission, review, and citation, the ACL privacy policy, and the ACL code of ethics. Further information can be found on the conference website: https://konvens2026.uni-hamburg.de/ Submissions need to be anonymized to ensure double-blind review. However, we allow for pre-prints to be posted any time before or during the review period. We strongly encourage authors to use LaTeX in preparing their document. Important dates: NEW 12.5.2026 Paper Submission Deadline 12.7.2026 Notification of Acceptance 01.8.2026 Camera-Ready Deadline 14.9. – 17.9.2026 KONVENS in Hamburg See you in Hamburg! Your conference chairs, Heike Zinsmeister, Chris Biemann, and Anne Lauscher

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NLP4PI @ EMNLP2026: First Call for Papers
by Daryna Dementieva 27 Apr '26

27 Apr '26

Dear community! We are delighted to invite you for submission to the 5th Workshop on NLP for Positive Impact co-located at EMNLP 2026! Workshop website: https://sites.google.com/view/nlp4positiveimpact <https://sites.google.com/view/nlp4positiveimpact>Call for paper: https://sites.google.com/view/nlp4positiveimpact/call-for-papers-2026 Submission methods: OpenReview both direct submissions and ARR May Cycle commitment. We also accept non-archival submissions. Important dates: ARR May Cycle Submission Due: May 25th, 2026 Direct Submissions Due: June 26th, 2026 via https://openreview.net/group?id=EMNLP/2026/Workshop/NLP4PI<https://openreview.net/group?id=EMNLP/2026/Workshop/NLP4PI#tab-your-consoles> ARR Reviewed Submissions Commitment Due: July 26th, 2026 (tentative) Notification of Acceptance (both channels): August 15th, 2026 Camera-Ready Papers Due: September 10th, 2026 Workshop Date: October 24th-29th 2026 (co-located with EMNLP 2026) All deadlines are 11:59 PM (Anywhere on Earth) Workshop Summary The increasing adoption of language-oriented AI systems offers unprecedented opportunities for positive societal impact. NLP technologies have matured to the point where they can meaningfully contribute to addressing global challenges like poverty, hunger, healthcare, education, inequality, COVID-19, and climate change, aligning with the UN sustainability goals. This workshop aims to advance innovative NLP research that benefits society, emphasizing responsible methods and impactful applications. We welcome submissions in areas including, but not limited to: * Grounding NLP in Real-World Impact: Beyond improving model performance, how can NLP systems be directly tied to social outcomes? This could include case studies of real-world deployments or strategies for better deployment and maintenance practices. * Underexplored Applications: While NLP for healthcare and mental well-being is well-established, we encourage research tackling overlooked areas such as poverty, hunger, energy, and climate change. * Interdisciplinary Collaborations: We highly value work that integrates insights from other fields, such as social science, political science, economics, philanthropy, and HCI, and we encourage submissions of case studies or examples that highlight such collaborations. Special Theme: Measuring the Societal Impact of AI and NLP This year we would like to find an answer to the question: How can we measure the social impact of AI and NLP? With even the bigger raise of opportunities of AI and language technologies, we would like to understand how it influences society and if in positive manners. Position, philosophical-grounded, and new evaluation framework suggestion papers are very much welcomed to enhance the discussion! Submission Types We encourage diverse contributions, including: * Identifying social needs and affected demographics. * Proposing new tasks or directions through position papers. * Conducting literature reviews or philosophical discussions on NLP’s societal impact. * Designing user studies, surveys, or ethical frameworks. * Exploring interdisciplinary methods and collaboration strategies. Submissions must address the ethical and societal implications of the work, with a clear focus on defining and achieving positive impact. We look forward to fostering discussions that inspire actionable, responsible advancements in NLP for the greater good. Papers Format Both long and short paper submissions should follow all of the ARR submission requirements https://aclrollingreview.org/cfp#paper-submission-information, including: Long Papers <https://aclrollingreview.org/cfp#long-papers> (8 pages) and Short Papers (4 pages). Organizers Katherine Atwell (Northeastern University) Angana Borah (University of Michigan) Dr. Daryna Dementieva (Technical University of Munich) Prof Elisa Kreiss (University of California) Dr. Neema Kotonya (Dataminr) Jiarui Liu (Carnegie Mellon University) Liz Olson (Dataminr) Ruyuan Wan (Pennsylvania State University) Prof Jieyu Zhao (University of Southern California) Steering Committee Prof Rada Mihalcea (University of Michigan) Dr. Joel Tetreault (Dataminr) Dr. Zhijing Jin (University of Toronto) Contact Email: nlp4pi.workshop(a)gmail.com<mailto:nlp4pi.workshop@gmail.com> All positive regards, Daryna Dementieva On behalf of NLP4PI Workshop Organizers

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2nd CFP - Atelier TAL@Santé @ CORIA-TALN 2026
by Aman Sinha 27 Apr '26

27 Apr '26

* Atelier TAL@Santé 2026 * @ CORIA-TALN 2026 -- 29 juin 2026, Nantes Site Internet : [ https://atelier-tal-sante.github.io/ | https://atelier-tal-sante.github.io/ ] APPEL A COMMUNICATION Dans le cadre des conférences conjointes CORIA-TALN 2026, l'atelier TAL@Santé 2026 vise à fédérer la communauté francophone du Traitement Automatique des Langues (TAL) appliqué à la santé. Il ambitionne de croiser outils, méthodes, ressources, retours d’expérience et perspectives autour des textes cliniques et biomédicaux. DATES IMPORTANTES * Soumission des articles : 29 avril 2026 * Notification aux auteurs : 13 mai 2026 * Version finale : 21 mai 2026 * Atelier : 29 juin 2026, de 9h00 à 17h30 TYPES ET FORMAT DES SOUMISSIONS Les types d’articles acceptés sont : * Articles résumés (3 pages max + références) : - Travaux préliminaires en cours - Description d'un projet de recherche - Traduction d’un article récemment accepté (ou en cours de soumission) dans une conférence internationale * Articles classiques (entre 6 et 10 pages + références) : - Contribution nouvelle - Etat de l’art - Résultat négatif apportant une perspective nouvelle à un problème scientifique - Prise de position présentant un point de vue sur l’état des recherches en TAL et santé Les articles acceptés seront présentés au cours de la journée sous la forme d’une présentation orale ou d’un poster. Ils seront également publiés dans les actes de la conférence CORIA-TALN 2026. La langue officielle de la conférence est le français. Si tous les auteurs sont francophones, les articles doivent être rédigés en français. Si l’un des auteurs n’est pas francophone, les articles peuvent être rédigés en anglais. Site de soumission : [ https://openreview.net/group?id=ls2n.fr/CORIA-TALN/2026/Workshop/TAL-Sante | https://openreview.net/group?id=ls2n.fr/CORIA-TALN/2026/Workshop/TAL-Sante ] THEMATIQUES DE L’ATELIER Les sujets d’intérêt incluent, mais ne sont pas limités à : - Extraction d’entités, de relations et d’événements complexes - Extraction d’information et classification de textes cliniques ou biomédicaux - Accessibilité : simplification de textes médicaux, littératie en santé, communication patient–soignant - Mésinformation et qualité de l’information en santé - Détection et atténuation des biais - Enjeux éthiques du TAL pour la santé - Approches frugales - Cadres d’évaluation, reproductibilité et métriques orientées vers l’usage - Approches génératives : factualité, traçabilité (RAG, citations, vérification), détection d’hallucinations - Schémas d’annotation et méthodologies de construction de ressources annotées - Annotation assistée par LLM - Création de modèles de langue spécialisés, adaptation de domaine, apprentissage par transfert, apprentissage fédéré, apprentissage faiblement supervisé - Analyse automatique de la littérature scientifique pour la santé CONTACT : atelier-tal-sante(a)univ-nantes.fr ORGANISATEURS Richard Dufour (LS2N, Nantes Université) Yanis Labrak (IDIAP) Emmanuel Morin (LS2N, Nantes Université) Aurélie Névéol (LISN, Université Paris-Saclay) Aman Sinha (ATILF, Université de Lorraine) Laura Zanella (Doctolib) Pierre Zweigenbaum (LISN, Université Paris-Saclay)

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leave
by Xavier Bonet Casals 25 Apr '26

25 Apr '26

Xavi On 24 Apr 2026, at 14:00, corpora-request(a)list.elra.info wrote: Send Corpora mailing list submissions to corpora(a)list.elra.info To subscribe or unsubscribe via email, send a message with subject or body 'help' to corpora-request(a)list.elra.info You can reach the person managing the list at corpora-owner(a)list.elra.info When replying, please edit your Subject line so it is more specific than "Re: Contents of Corpora digest..." Today's Topics: 1. MIAI–PRAIRIE Online Seminar: LLMs and the Study of Language, Mind, and Society (Thierry Poibeau) 2. One postdoc position in NLP/CL at University of Technology Nuremberg (Michael Roth) 3. CFP Reminder: International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026) (Constantin Orasan) ---------------------------------------------------------------------- Message: 1 Date: Thu, 23 Apr 2026 21:12:54 +0100 From: Thierry Poibeau <thierry.poibeau(a)ens.psl.eu> Subject: [Corpora-List] MIAI–PRAIRIE Online Seminar: LLMs and the Study of Language, Mind, and Society To: corpora(a)list.elra.info Message-ID: <24E07222-5277-4DCF-91DA-D9209F3FF60A(a)ens.psl.eu> Content-Type: multipart/alternative; boundary="Apple-Mail=_9FF39057-FF73-44AE-BDF5-05632B17E77A" LLMs and the Study of Language, Mind, and Society As part of the MIAI–PRAIRIE seminar series, organized by Caroline Rossi (Université Grenoble Alpes / MIAI) and Thierry Poibeau (ENS–PSL / PRAIRIE–PSAI). Online, with no registration LLMs have profoundly transformed the way research is conducted and develops across a wide range of disciplines, including linguistics, philosophy, psychology, and the social sciences. Beyond their technical performance, these systems raise new questions about language, cognition, interpretation, and the production of knowledge itself. This new online seminar, jointly organized by Caroline Rossi (U. Grenoble Alpes / MIAI) and Thierry Poibeau (ENS-PSL / Prairie-PSAI) aims to explore recent research in these areas. It will provide a forum for discussing both empirical and theoretical work, bringing together perspectives from different fields to better understand the implications of LLMs for the study of language and mind. The seminar also seeks to foster dialogue between researchers who use these models in practice and those who critically examine their assumptions, limitations, and broader impact. The first speaker will be Steven Piantadosi, from Berkeley. The next speakers will include Adele Goldberg (Princeton), Eloïse Boisseau (AMU, Marseille), and Dallas Card (U. Michigan). The seminar will take place approximately once a month. The full schedule for the coming months will be announced shortly. ---- *** Monday 27 April, 5pm (French time), online (free access, no registration) *** Connexion link: https://webinaire.numerique.gouv.fr/meeting/signin/invite/78275/creator/433… *** Neuroscience, behavior, and what's in-between, *** Steven T. Piantadosi, UC Berkeley (Psychology) & Helen Wills Neuroscience Institute I'll present an overview of a forthcoming book about how we can link neuroscience to cognition and behavior. Drawing on several little-known results in early computer science, I'll describe how patterns in behavior can rigorously imply the existence of particular unobserved states and structures. This provides a foundation for linking behavioral regularities to what must be present in neural implementations. The resulting states are often re-describable in abstract terms more familiar to cognitive science, like "sets", "numbers", "stacks", etc. I'll highlight the implementation of "stacks", commonly used for grammars, and show how to characterize the space of possible neural implementations, including with subsystems/circuits operating in serial and parallel. The approach provides a set of concrete hypotheses, a guide for neural data analysis, and points towards a method for understanding structure in modern AI systems, including LLMs. I'll conclude by suggesting a Marr-like framework in which the bridges between levels can be made rigorous, connecting behavior, high-level theorizing, and neural implementation. Steven T. Piantadosi is a professor at UC Berkeley in Psychology and the Helen Wills Neuroscience Institute, where he heads the Computation and Language Lab. He has a PhD from MIT in Brain and Cognitive Sciences and undergraduate degrees in mathematics and linguistics. His work spans neural and cognitive research, with a focus on understanding how children come to know language, math, and abstract concepts. He often uses computational methods, including machine learning, cognitive modeling, mathematical analysis, and Bayesian data analysis. His research methods also include anthropological fieldwork, experimental work with children, and collaboration to study non-human primates and human neuroscience.

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PhD Position: Structural Generalization in Transformer-based LLMs (Saarland University, Germany)
by Michael Hahn 25 Apr '26

25 Apr '26

PhD Position: Structural Generalization in Transformer-based LLMs *Start date:* as soon as possible *Application deadline:* 11 May 2026 The research groups of Michael Hahn <https://www.mhahn.info/> and Alexander Koller <https://www.coli.uni-saarland.de/~koller/> are jointly looking for a PhD student. The student will be jointly advised by both professors. The position is funded through the new project “Structural generalization in transformer-based LLMs”, which is part of the DFG Special Priority Program Robust Assessment and Safe Applicability of Language Modeling: Foundations for a New Field of Language Science and Technology <https://www.lasting-spp.org/>. The goal of the SPP is to bring together research in linguistics and LLMs so they can mutually inform each other. The starting point of the project is the observation that transformers struggle with /structural generalization:/ they do not perform well on test instances that are more complex than the training instances. We see this e.g. when parsing complex sentences or when managing complex reasoning chains. In the project, we want to develop theory that explains this limitation, carry out empirical research to pinpoint the transformer’s capabilities, understand them through mechanistic interpretability, and find ways to improve structural generalization in transformers. Methods range from formal language theory to training and prompting-based experiments to circuit analysis. We will carry out the project in collaboration with Will Merrill <https://lambdaviking.com/> and Yuekun Yao <https://ykyaol7.github.io/>. This is a position on the German TV-L E13 scale <https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2023> (100%). The starting salary of a 100% TV-L E13 position is a bit over 50,000 Euros per year and increases with experience. The position is funded for three years; we expect to be able to extend it to four. We can be flexible with the start date (within the year 2026). *Requirements* We are looking for candidates who have finished, or are about to complete, an excellent Master’s degree in computer science, computational linguistics, or a related discipline. The ideal candidate will have outstanding programming skills and algorithmic understanding; a strong understanding of current methods in machine learning; and strong communication skills in English (spoken and written). *About the group* Saarland University is one of the leading centers for computational linguistics in Europe, and offers a dynamic and stimulating research environment. The Department of Language Science and Technology <https://www.lst.uni-saarland.de/en/> consists of about 100 research staff in ten research groups in the fields of computational linguistics, psycholinguistics, and language science. It hosts the SFB 1102 “Information Density and Linguistic Encoding” <https://sfb1102.uni-saarland.de/>. Michael Hahn and Alexander Koller are members of the Research Training Group “Neuroexplicit Models of Language, Vision, and Action” <https://www.neuroexplicit.org/>, one of the largest centers for research on neurosymbolic models in the world. They actively collaborate with colleagues at the university’s computer science department, the Max Planck Institute for Informatics <https://www.mpi-inf.mpg.de/home>, the Max Planck Institute for Software Systems <https://www.mpi-sws.org>, and the CISPA Helmholtz Center for Information Security <https://cispa.de/en>. The Saarland Informatics Campus <https://saarland-informatics-campus.de/en> brings together 1000 researchers and 2600 students from 81 countries; SIC faculty have won roughly 50 ERC grants. Saarland University is located in Saarbrücken <https://en.wikipedia.org/wiki/Saarbr%C3%BCcken>, a city of roughly 180k people in the tri-border area of Germany, France, and Luxembourg <https://quattropole.org/en>. Saarbrücken combines a lively culture scene with a relaxed atmosphere, and is quite an affordable place to live in. Our department maintains an international and diverse work environment. The primary working language is English; learning German while you are here will make it easier to connect with the local culture, but is not necessary for your work. *How to apply* Please submit your application by email to apply-ak(a)coli.uni-saarland.de and include the reference number W2846 <https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf…>. Preference will be given to applications received by 11 May 2026. Include a single PDF file with the following information: 1. a statement of research interests that motivates why you are applying for this position and outlines your research agenda; 2. a full CV including your list of publications; 3. scans of transcripts and academic degree certificates; 4. the names, affiliations, and e-mail addresses of two people who can provide letters of reference for you. Saarland University especially welcomes applications from women and people with disabilities. The legally binding version of this job ad is here: W2846 <https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf…>.

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MIRROR@IberLEF2026 - Final phase approaching
by Luis Villaseñor-Pineda 24 Apr '26

24 Apr '26

<Apologies for cross-postings> -------------------------------------- *SECOND CALL FOR PARTICIPATION * -------------------------------------- MIRROR@IberLEF20206: Motivational Interviewing Response & Rating via Synthetic cOnversational tuRns https://mirror-iberlef.vercel.app/ Challenge platform: https://www.mirror-iberlef.lat/ Development phase ends april 30th, make submissions and get feedback. Final phase starts on May 1st. ------------------------------- ****Task description**** ------------------------------- We invite the community to develop Generative AI (GenAI) methods for creating synthetic conversation turns that can substantially improve the performance of models trained to recognize behavior codes (BCs) in the context of motivational interviews. A BC is a discrete, observable clinician action (e.g., asking a question, giving information) that is counted during coding of a motivational interviewing session to quantify specific techniques used. These codes allow raters to tally how often particular clinician behaviours occur, which helps assess adherence to MI-consistent versus MI-inconsistent practice. Our ultimate goal is to generate valuable data for training models for the automatic assessment of clinicians’ motivational-interviewing skills. These skills — crucial for promoting behavior change among patients — can be evaluated by using the “Motivational Interviewing Treatment Integrity (MITI)” rubric (https://tinyurl.com/38byjrwy). * * *This is a data-centric competition: *participants are expected to produce high-quality datasets representing a wide range of clinical conversations (rather than training a model) to enhance the performance of a frozen baseline model used for BC classification. We encourage participants to include samples featuring clients from diverse backgrounds, varied conversation topics, and conversing with different types of health professionals. Participants in this competition should provide three datasets (one per pair of considered BCs) of at most 100 labeled conversation turns that will be used to fine-tune pretrained models; the fine-tuned models will then be used to make predictions for a hold-out dataset. The performance of the fine-tuned model will be used as the leading evaluation metric to rank participants. The considered pairs of BCs are: (1) Simple reflection vs. Complex reflection; (2) Open question vs. Closed question; (3) Persuasion vs. Giving Information. Sample submissions, and detailed instructions on the formatting, evaluation criteria and competition platform will be available at the MIRROR website. ------------------------------- ****Important dates**** ------------------------------- * Mar 9th: Start of the development phase (platform starts receiving submissions for the validation set) * May 1st: Start of the final phase (platform starts receiving submissions for the test set) * May 11th: End of evaluation campaign (deadline for submission of runs) * May 22nd; Publication of official results * Jun 8th: Deadline for paper submission * Jun 23th: Acceptance notification * Jun 30th: Camera-ready submission deadline * Sep, TBD: Publication of proceedings * Sep, TBD: Workshop with SEPLN 2026 ------------------------------- ****Organizing team**** ------------------------------- * Luis J. Arellano INAOE, Mexico * Carlos Olachea INAOE, Mexico * John Piette, University of Michigan, USA * Hugo Jair Escalante, INAOE, Mexico * Delia Irazú Hernández, INAOE, Mexico * Luis Villaseñor, INAOE, Mexico * Manuel Montes, INAOE, Mexico Contact: Hugo Jair Escalante (hugo.jair(a)gmail.com) ********* AVISO DE CONFIDENCIALIDAD: Este correo electrónico, incluyendo en su caso, los archivos adjuntos al mismo pueden contener información de carácter confidencial y/o privilegiada, y se envían a la atención única y exclusivamente de la persona y/o entidad a quien va dirigido. La copia, revisión, uso, revelación y/o distribución de dicha información confidencial sin la autorización por escrito del Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) está prohibida. Si usted no es el destinatario a quien se dirige el presente correo, favor de contactar al remitente respondiendo al presente correo y eliminar el correo original incluyendo sus archivos, así como cualquiera copia de este. Mediante la recepción del presente correo usted reconoce y acepta que en caso de incumplimiento de su parte y/o de sus representantes a los términos antes mencionados, este Centro Público de Investigación tendrá el derecho de reclamar los daños y perjuicios que dicha vulneración le cause; asimismo se hace de su conocimiento que el Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) está obligado a salvaguardar los datos personales que le sean proporcionados por terceros, en los términos de la Ley General de Protección de Datos Personales en Posesión de Sujetos Obligados. AVISO DE PRIVACIDAD, En cumplimiento con la Ley General de Protección de Datos Personales en Posesión de Sujetos Obligados, al recibir datos de carácter personal a través de este medio, se entiende el consentimiento expreso del titular de los datos personales para utilizarlos en actividades propias del Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE). Para mayor información, lo invitamos a consultar el Aviso de Privacidad en nuestro portal: https://www.inaoep.mx

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18th ACM WebSci’26 Program Released + Join Brave Conversations (Free Friday Event)
by Kaiser, Sierra Ann 24 Apr '26

24 Apr '26

Dear colleagues, The program for WebSci’26 is now live: https://websci26.org/?page_id=643 📍 Location: Haus der Wissenschaft, TU Braunschweig | Pockelsstraße 11 | 38106 Braunschweig | https://www.hausderwissenschaft.org/ This year’s conference brings together interdisciplinary research on the social, technical, and political dimensions of the Web, including sessions on online discourse, AI and society, platform governance, and computational social science. 👉 New this year: On Friday evening, we are hosting Brave Conversations — an open, facilitated dialogue format designed to foster thoughtful, cross-disciplinary exchange. Participation in this session is completely free and open to all, including those not registered for the conference. * Details: www.braveconversations.org/event/braunschweig-2026<http://www.braveconversations.org/event/braunschweig-2026> If you are interested in how the Web is shaping—and being shaped by—society, we would be delighted to have you join us. * Explore the program: https://websci26.org/?page_id=643 * Learn more about attending: https://websci26.org/ Please feel free to share this announcement with colleagues and networks who may be interested. Hope to see you there! Best regards, WebSci’26 Committee ------------------- Sierra Kaiser (she/her) Koordinatorin / Coordinator Stuttgart Research Focus – Interchange Forum for Reflecting on Intelligent Systems (IRIS) Universität Stuttgart Geschwister-Scholl-Str. 24D | 3.352 | 70174 Stuttgart-Mitte Universitätsstr. 32 | 00.121 | 70569 Stuttgart-Vaihingen Tel.: +49 (0)711 685 84 371 Email: sierra.kaiser(a)iris.uni-stuttgart.de<mailto:sierra.kaiser@iris.uni-stuttgart.de> Mastodon<https://bawü.social/@Stuttgart_IRIS> | LinkedIn<https://www.linkedin.com/company/interchange-forum-for-reflecting-on-intell…> | BlueSky<https://bsky.app/profile/unistuttgartiris.bsky.social> | IRIS Newsletter<https://t63605f96.emailsys1a.net/91/8138/3f626b8c5a/subscribe/form.html?_g=…> www.iris.uni-stuttgart.de/<http://www.iris.uni-stuttgart.de/>

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CFP Reminder: International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026)
by Constantin Orasan 24 Apr '26

24 Apr '26

International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026) Dubrovnik, Croatia, 24-27 June 2026 https://nettt-conference.com<https://nettt-conference.com/> Final Reminder *** Submission deadline 27 April 2026 *** The third edition of the International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026) will take place in Dubrovnik, Croatia from 24 to 27 June 2026. The objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation and interpreting studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTIT’2026 invites all professionals who would like to learn about the new trends, present the latest work or/and share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures. The conference will include plenary presentations (research and user presentations, keynote speeches), poster sessions and panel discussions. All submitted papers will be peer-reviewed by experts, and the accepted papers will be published as open-access conference e-proceedings which will be available at the time of the conference. The proceedings will be included in the prestigious ACL anthology<https://aclanthology.org/>. While the conference is primarily intended as an on-site event, in light of the current global circumstances and in response to requests received, provisions will be made for remote presentations in cases where participants are unable to travel for justified reasons. If circumstances prevent you from meeting the submission deadline, please contact the organisers as early as possible as we may be able to grant short extensions. Full details of the call and how to submit papers are available on the conference website: https://nettt-conference.com<https://nettt-conference.com/> -- Prof Constantin Orăsan Professor of Language and Translation Technologies Room 06LC03, Phone extension: 4115 Centre for Translation Studies<https://www.surrey.ac.uk/centre-translation-studies>, University of Surrey Third Floor | Library | University of Surrey | Guildford | Surrey | GU2 7XH Phone: +44 (0) 1483 684115 Personal page: https://www.surrey.ac.uk/people/constantin-orasan

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One postdoc position in NLP/CL at University of Technology Nuremberg
by Michael Roth 24 Apr '26

24 Apr '26

The Natural Language Understanding Lab at UTN in Nuremberg [1], Germany, invites applications for a full-time postdoctoral research position (A13/E13 on the German TV-L scale). The position is based in the Department Computer Science & Artificial Intelligence and will be available from 1 July 2026 for an initial period of three years. The position is part of an award-winning research group focusing on implicit and underspecified language, background knowledge in language understanding as well as biases in data, tasks and models. The successful applicant will have the opportunity to develop their own research agenda, support ongoing research and teaching in the group, and collaborate with other groups at the university, including colleagues from the Department Liberal Arts & Social Sciences. Applicants should have a completed PhD in Natural Language Processing or Computational Linguistics as well as a track record of publications in *ACL venues, with a particular interest in semantics and/or pragmatics. They should be able to work in a team and communicate in English (German proficiency is not required). Applications should include a motivation letter outlining a proposed research agenda, a CV, a list of publications, and contact information for one or two references. Please submit all materials _as a single PDF file_ to nlu(a)utn.de. Applications received by 15 May 2026 will receive full consideration, but the position will remain open until filled. Candidates who identify as female, trans* and/or non-binary are particularly encouraged to apply. Feel free to contact michael.roth(a)utn.de for any questions regarding the group or position! [1] https://www.utn.de/en/departments/department-computer-science-artificial-in… --- Prof. Michael Roth [he/him] Natural Language Understanding Lab University of Technology Nuremberg Technische Universität Nürnberg

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MIAI–PRAIRIE Online Seminar: LLMs and the Study of Language, Mind, and Society
by Thierry Poibeau 23 Apr '26

23 Apr '26

LLMs and the Study of Language, Mind, and Society As part of the MIAI–PRAIRIE seminar series, organized by Caroline Rossi (Université Grenoble Alpes / MIAI) and Thierry Poibeau (ENS–PSL / PRAIRIE–PSAI). Online, with no registration LLMs have profoundly transformed the way research is conducted and develops across a wide range of disciplines, including linguistics, philosophy, psychology, and the social sciences. Beyond their technical performance, these systems raise new questions about language, cognition, interpretation, and the production of knowledge itself. This new online seminar, jointly organized by Caroline Rossi (U. Grenoble Alpes / MIAI) and Thierry Poibeau (ENS-PSL / Prairie-PSAI) aims to explore recent research in these areas. It will provide a forum for discussing both empirical and theoretical work, bringing together perspectives from different fields to better understand the implications of LLMs for the study of language and mind. The seminar also seeks to foster dialogue between researchers who use these models in practice and those who critically examine their assumptions, limitations, and broader impact. The first speaker will be Steven Piantadosi, from Berkeley. The next speakers will include Adele Goldberg (Princeton), Eloïse Boisseau (AMU, Marseille), and Dallas Card (U. Michigan). The seminar will take place approximately once a month. The full schedule for the coming months will be announced shortly. ---- *** Monday 27 April, 5pm (French time), online (free access, no registration) *** Connexion link: https://webinaire.numerique.gouv.fr/meeting/signin/invite/78275/creator/433… *** Neuroscience, behavior, and what's in-between, *** Steven T. Piantadosi, UC Berkeley (Psychology) & Helen Wills Neuroscience Institute I'll present an overview of a forthcoming book about how we can link neuroscience to cognition and behavior. Drawing on several little-known results in early computer science, I'll describe how patterns in behavior can rigorously imply the existence of particular unobserved states and structures. This provides a foundation for linking behavioral regularities to what must be present in neural implementations. The resulting states are often re-describable in abstract terms more familiar to cognitive science, like "sets", "numbers", "stacks", etc. I'll highlight the implementation of "stacks", commonly used for grammars, and show how to characterize the space of possible neural implementations, including with subsystems/circuits operating in serial and parallel. The approach provides a set of concrete hypotheses, a guide for neural data analysis, and points towards a method for understanding structure in modern AI systems, including LLMs. I'll conclude by suggesting a Marr-like framework in which the bridges between levels can be made rigorous, connecting behavior, high-level theorizing, and neural implementation. Steven T. Piantadosi is a professor at UC Berkeley in Psychology and the Helen Wills Neuroscience Institute, where he heads the Computation and Language Lab. He has a PhD from MIT in Brain and Cognitive Sciences and undergraduate degrees in mathematics and linguistics. His work spans neural and cognitive research, with a focus on understanding how children come to know language, math, and abstract concepts. He often uses computational methods, including machine learning, cognitive modeling, mathematical analysis, and Bayesian data analysis. His research methods also include anthropological fieldwork, experimental work with children, and collaboration to study non-human primates and human neuroscience.

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Corpora April 2026