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Call for Papers: First Workshop on Computational Developmental Linguistics - ACL 2026, San Diego
by ACL Announcements 21 Jan '26

21 Jan '26

CALL FOR PAPERS: FIRST WORKSHOP ON COMPUTATIONAL DEVELOPMENTAL LINGUISTICS @ACL 2026, SAN DIEGO Friday, 3 July 2026 to Tuesday, 7 July 2026 Website: https://comp-dev-ling.github.io/ Submission Deadline: Friday, 20 March 2026 We are pleased to invite submissions to the First Workshop on Computational Developmental Linguistics (CDL, https://comp-dev-ling.github.io/), co-located with ACL 2026 in San Diego, CA, USA. The workshop will take place between July 3rd and July 7th (exact date to be confirmed). The workshop aims to bridge the conversation between modern machine learning and developmental linguistics. We hope to draw inspiration from both fields, identifying similarities and differences in the (im)plausibilities of comparing LMs and human language learning, to motivate better LM engineering and more rigorous computational modeling of human language acquisition. The scope and topics include, but are not limited to: * Computational models for developmental linguistics. * Learning dynamics in pretraining and post-training of LMs. * Comparisons of developmental linguistics in humans and machines. * Knowledge tracing and developmental diagnostics. * Applications of developmental insights in language education and clinical NLP. Important Dates * Submission Due: March 20th, 2026 * Review Due: April 22nd, 2026 * Notification of Acceptance: May 1st, 2026 * Camera-Ready Due (tentative): May 15th, 2026 Submission types include long papers (up to 8 pages, both archival and non-archival), short papers (up to 4 pages, both archival and non-archival), and ARR commitments (both archival and non-archival). Archival papers will receive an additional page in the camera-ready version to address reviewers' feedback and will be published in the ACL Anthology. Submission Portal: https://openreview.net/group?id=aclweb.org/ACL/2026/Workshop/CDL If you are interested in reviewing for CDL, please fill in the form here: https://docs.google.com/forms/d/e/1FAIpQLSdyPBKh2GZ6ETuUrQktqNYv6fLIsg7r... [1] Warm regards, CDL 2026 Organizers: Martin Ziqiao Ma, Emmy Liu, Jing Liu, Tyler A. Chang, Abdellah Fourtassi, Alex Warstadt, Michael Hahn, Weiwei Sun, and Freda Shi Contact Email: cdl.workshop.committee(a)gmail.com Links: ------ [1] https://docs.google.com/forms/d/e/1FAIpQLSdyPBKh2GZ6ETuUrQktqNYv6fLIsg7rUxZ…

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HPSG 2026 -- First CfP
by Antonio Machicao y Priemer 20 Jan '26

20 Jan '26

FIRST CfP: The 33rd International Conference on Head-Driven Phrase Structure Grammar (Norway) Short Title: HPSG 2026 Date: 03-Aug-2026 - 04-Aug-2026 Location: Western Norway University of Applied Sciences (Bergen, Norway) Contact: Petter Haugereid, Berthold Crysmann & Antonio Machicao y Priemer Email: hpsg2026(a)easychair.org Conference Website: https://petterha.github.io/hpsg2026/ Conference fee: 68€ (faculty) / 43€ (student) Linguistic Field(s): General Linguistics; Linguistic Theories; Computational Linguistics; Syntax; Morphology; Semantics; Cognitive Science; Meeting Description: The 33rd International Conference on Head-Driven Phrase Structure Grammar will be held on August 03 - August 04, 2026 at the Western Norway University of Applied Sciences (Bergen, Norway). The HPSG 2026 conference will be a two-day main conference (3rd - 4th of August). It will be co-located with the DELPH-IN meeting held over the preceding week (27th - 31st of July). Anonymous abstracts are invited that address linguistic, foundational, or computational issues relating to or in the spirit of the framework of Head-Driven Phrase Structure Grammar. Submissions should be 4 pages long, + 1 page for data, figures & references. They should be submitted in PDF format. The submissions should not include the authors’ names, and authors are asked to avoid self-references. Presentations are in-person by default, although exceptions can be negotiated. All abstracts should be submitted by April 10, 2026, via Easychair: https://easychair.org/conferences/?conf=hpsg2026 Deadline for abstracts: 10th of April, 2026 Reviews due: 10th of May, 2026 Notification of acceptance: 15th of May, 2026 Conference: 3rd of August - 4th of August, 2026 Invited speakers: tba Conference proceedings submission: 15 of October, 2026 All abstracts will be reviewed anonymously by at least two reviewers. Each accepted abstract will be given 30 minutes for presentation. Additionally, 10 minutes will be reserved for discussion. A call for contributions to the proceedings will be issued after the conference. The proceedings will undergo a separate (final) round of reviews (accept/reject), to enable indexing of the proceedings. The proceedings of previous conferences are available at: https://proceedings.hpsg.xyz/ -- Dr. Antonio Machicao y Priemer Department of German Studies and Linguistics - Humboldt-Universität zu Berlin Homepage: https://hu.berlin/aMyP Project: Building register into the architecture of language – an HPSG account (CRC 1412, Project A04) Series: Textbooks in Language Science (https://langsci-press.org/catalog/series/tbls)

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Call for SemEval Task Proposals 2027
by Kai North 20 Jan '26

20 Jan '26

Introduction We invite proposals for tasks to be run as part of SemEval-2027. SemEval (the International Workshop on Semantic Evaluation) is an ongoing series of evaluations of computational semantics systems, organized under the umbrella of SIGLEX, the Special Interest Group on the Lexicon of the Association for Computational Linguistics. SemEval tasks investigate the nature of meaning in natural languages, exploring how to characterize and compute meaning. This is achieved in practical terms, using shared datasets and standardized evaluation metrics to quantify the strengths and weaknesses and possible solutions. SemEval tasks encompass a broad range of semantic topics from the lexical level to the discourse level, including word sense identification, semantic parsing, coreference resolution, and sentiment analysis, among others. For SemEval-2027, we welcome tasks that can test an automatic system for semantic analysis of text (e.g., intrinsic semantic evaluation, or an application-oriented evaluation). We especially encourage tasks for languages other than English, cross-lingual tasks, and tasks that develop novel applications of computational semantics. See the websites of previous editions of SemEval to get an idea about the range of tasks explored, e.g., SemEval-2020 (http://alt.qcri.org/semeval2020/) and SemEval-2021/2026 (https://semeval.github.io). We strongly encourage proposals based on pilot studies that have already generated initial data, evaluation measures, and baselines. In this way, we can avoid unforeseen challenges down the road that may delay the task. We suggest providing a reasonable baseline (e.g., providing a Transformer / LLM baseline for a classification task) apart from the majority vote / random guess. In case you are not sure whether a task is suitable for SemEval, please feel free to get in touch with the SemEval organizers at <semevalorganizers(a)gmail.com> to discuss your idea. Task Selection Task proposals will be reviewed by experts, and reviews will serve as the basis for acceptance decisions. Everything else being equal, more innovative new tasks will be given preference over task reruns. Task proposals will be evaluated on: Novelty: Is the task on a compelling new problem that has not been explored much in the community? Is the task a rerun, but covering substantially new ground (new subtasks, new types of data, new languages, etc. - one addition is not sufficient)? Interest: Is the proposed task likely to attract a sufficient number of participants? Data: Are the plans for collecting data convincing? Will the resulting data be of high quality? Will annotations have meaningfully high inter-annotator agreements? Have all appropriate licenses for use and re-use of the data after the evaluation been secured? Have all international privacy concerns been addressed? Will the data annotation be ready on time? Evaluation: Is the methodology for evaluation sound? Is the necessary infrastructure available, or can it be built in time for the shared task? Will research inspired by this task be able to evaluate in the same manner and on the same data after the initial task? Is the task significantly challenging (e.g., room for improvement over the baselines)? Impact: What is the expected impact of the data in this task on future research beyond the SemEval Workshop? Ethical – The data must be compliant with privacy policies. e.g. avoid personally identifiable information (PII). Tasks aimed at identifying specific people will not be accepted. Avoid medical decision making (compliance with HIPAA, do not try to replace medical professionals, especially if it has anything to do with mental health). These are representative and not exhaustive. Roles - Lead Organizer - main point of contact, expected to ensure deliverables are met on time and participate in contributing to task duties (see below). Co-Organizers - provide significant contributions to ensuring the task runs smoothly. Some examples include maintaining communication with task participants, preparing data, creating and running evaluation scripts, leading paper reviewing, and acceptance. Advisory Organizers - more of a supervisor role, may not contribute to detailed tasks, but will provide guidance and support. New Tasks vs. Task Reruns We welcome both new tasks and task reruns. For a new task, the proposal should address whether the task would be able to attract participants. Preference will be given to novel tasks that have not received much attention yet. For reruns of previous shared tasks (whether or not the previous task was part of SemEval), the proposal should address the need for another iteration of the task. Valid reasons include: a new form of evaluation (e.g., a new evaluation metric, a new application-oriented scenario), new genres or domains (e.g., social media, domain-specific corpora), or a significant expansion in scale. We further discourage carrying over a previous task and just adding new subtasks, as this can lead to the accumulation of too many subtasks. Evaluating on a different dataset with the same task formulation, or evaluating on the same dataset with a different evaluation metric, typically should not be considered a separate subtask. Task Organization We welcome people who have never organized a SemEval task before, as well as those who have. Apart from providing a dataset, task organizers are expected to: - Verify the data annotations have sufficient inter-annotator agreement. - Verify licenses for the data allow its use in the competition and afterwards. In particular, text that is publicly available online is not necessarily in the public domain; unless a license has been provided, the author retains all rights associated with their work, including copying, sharing and publishing. For more information, see: https://creativecommons.org/faq/#what-is-copyright-and-why-does-it-matter - Resolve any potential security, privacy, or ethical concerns about the data. - Commit to make the data available also after the task in a long-term repository under an appropriate license, preferably using Zenodo: https://zenodo.org/communities/semeval/ - Provide task participants with format checkers and standard scorers. - Provide task participants with baseline systems to use as a starting point (in order to lower the obstacles to participation). A baseline system typically contains code that reads the data, creates a baseline response (e.g., random guessing, majority class prediction), and outputs the evaluation results. Whenever possible, baseline systems should be written in widely used programming languages and/or should be implemented as a component for standard NLP pipelines. - Create a mailing list and website for the task and post all relevant information there. - Create a CodaLab or other similar competition for the task and upload the evaluation script. - Manage submissions on CodaLab or a similar competition site. - Write a task description paper to be included in SemEval proceedings, and present it at the workshop. - Manage participants’ submissions of system description papers, manage participants’ peer review of each other’s papers, and possibly shepherd papers that need additional help in improving the writing. - Review other task description papers. Desk Rejects - To ensure tasks have sufficient support, we require a minimum of two organizers at the time of proposal submission. A task proposal with only one organizer will be desk-rejected. Running a SemEval task is a significant time commitment; therefore, we highly recommend that a task have at least three-four organizers. - A person can be a lead organizer on only one task. The second mandatory organizer on the task must be committed to the task as a key co-organizer. Any other organizers (beyond the lead and co-organizer) can participate in other tasks. - All data should have a research-friendly license. The licensing must be provided in the proposal. - Task organizers must commit to keeping the data available after the task, either by keeping the task alive, by uploading it to Zenodo or some other public data storage location that will be permanent, and sharing the link with the organizers. === Important dates === - Task proposals due 13 April 2026 (Anywhere on Earth) - Task selection notification 25 May 2026 === Preliminary timetable === - Sample data ready 15 July 2026 - Training data ready 1 September 2026 - Evaluation data ready 1 December 2026 (internal deadline; not for public release) - Evaluation start 10 January 2027 - Evaluation end by 31 January 2027 (latest date; task organizers may choose an earlier date) - Paper submission due February 2027 - Notification to authors March 2027 - Camera ready due April 2027 - SemEval workshop Summer 2027 (co-located with a major NLP conference) Tasks that fail to keep up with crucial deadlines (such as the dates for having the task and CodaLab website up and dates for uploading sample, training, and evaluation data) may be cancelled at the discretion of SemEval organizers. While consideration will be given to extenuating circumstances, our goal is to provide sufficient time for the participants to develop strong and well-thought-out systems. Cancelled tasks will be encouraged to submit proposals for the subsequent year’s SemEval. To reduce the risk of tasks failing to meet the deadlines, we are unlikely to accept multiple tasks with overlap in the task organizers. Submission Details The task proposal should be a self-contained document of no longer than 3 pages (plus additional pages for references). All submissions must be in PDF format, following the ACL template: https://github.com/acl-org/acl-style-files Each proposal should contain the following: - Overview - Summary of the task - Why this task is needed and which communities would be interested in participating - Expected impact of the task - Data & Resources - How the training/testing data will be produced. Please discuss whether existing corpora will be reused. - Details of copyright and license, so that the data can be used by the research community both during the SemEval evaluation and afterwards - How much data will be produced - How data quality will be ensured and evaluated - An example of what the data would look like - Resources required to produce the data and prepare the task for participants (annotation cost, annotation time, computation time, etc.) - Assessment of any concerns with respect to ethics, privacy, or security (e.g., personally identifiable information of private individuals; potential for systems to cause harm) - Pilot Task (strongly recommended) - Details of the pilot task - What lessons were learned, and how these will impact the task design - Evaluation - The evaluation methodology to be used, including clear evaluation criteria - For Task Reruns - Justification for why a new iteration of the task is needed (see criteria above) - What will differ from the previous iteration - Expected impact of the rerun compared with the previous iteration - Task organizers - Names, affiliations, email addresses - (optional) brief description of relevant experience or expertise - (if applicable) years and task numbers of any SemEval tasks you have run in the past Proposals will be reviewed by an independent group of area experts who may not have familiarity with recent SemEval tasks, and therefore, all proposals should be written in a self-explanatory manner and contain sufficient examples. The submission webpage is: [TBC] === Chairs === Debanjan Ghosh, Analog Devices, USA Kai North, Cambium Assessment, USA Shervin Malmasi, Amazon Inc., USA Ekaterina Kochmar, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), UAE Mamoru Komachi, Hitotsubashi University, Japan Marcos Zampieri, George Mason University, USA Contact: semevalorganizers(a)gmail.com

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1st CFP: 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)
by Ekaterina Kochmar 20 Jan '26

20 Jan '26

First Call for Papers The 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026) San Diego, California, United States and online Thursday, July 2 and Friday, July 3, 2026 (co-located with ACL 2026) https://sig-edu.org/bea/current Submission Deadline: Thursday, March 5, 2026, 11:59pm UTC-12 WORKSHOP DESCRIPTION The BEA Workshop is a leading venue for NLP innovation in the context of educational applications. It is one of the largest one-day workshops in the ACL community with over 100 registered attendees in the past several years. The growing interest in educational applications and a diverse community of researchers involved resulted in the creation of the Special Interest Group in Educational Applications (SIGEDU)<https://sig-edu.org/members> in 2017, which currently has over 400 members. The 21st BEA will be a 2-day workshop, with one in-person workshop day and one virtual workshop day. The workshop will feature oral presentation sessions and large poster sessions to facilitate the presentation of a wide array of original research. Moreover, there will be a panel discussion on “Transitioning from Academia to the EdTech Industry”, a half-day tutorial on Theory of Mind and its Applications in Educational Contexts, and two shared tasks on Vocabulary Difficulty Prediction for English Learners<https://www.britishcouncil.org/data-science-and-insights/bea2026st> and on Rubric-based Short Answer Scoring for German<https://edutec.science/bea-2026-shared-task/> comprising an oral overview presentation by the shared task organizers and several poster presentations by the shared task participants. The workshop will accept submissions of both full papers and short papers, eligible for either oral or poster presentation. We solicit papers that incorporate NLP methods, including, but not limited to: * use of generative AI in education and its impact; * automated scoring of open-ended textual and spoken responses; * automated scoring/evaluation for written student responses (across multiple genres); * game-based instruction and assessment; * educational data mining; * intelligent tutoring; * collaborative learning environments; * peer review; * grammatical error detection and correction; * learner cognition; * spoken dialog; * multimodal applications; * annotation standards and schemas; * tools and applications for classroom teachers, learners and/or test developers; and * use of corpora in educational tools. SHARED TASKS Vocabulary Difficulty Prediction for English Learners Organizers: Mariano Felice (British Council) and Lucy Skidmore (British Council). Description: This shared task aims to advance research into vocabulary difficulty prediction for learners of English with diverse L1 backgrounds, an essential step towards custom content creation, computer-adaptive testing and personalised learning. In a context where traditional item calibration methods have become a bottleneck for the implementation of digital learning and assessment systems, we believe predictive NLP models can provide a more scalable, cost-effective solution. The goal of this shared task is to build regression models to predict the difficulty of English words given a learner’s L1. We believe this new shared task provides a novel approach to vocabulary modelling, offering a multidimensional perspective that has not been explored in previous work. To this aim, we will use the British Council’s Knowledge-based Vocabulary Lists (KVL), a multilingual dataset with psychometrically calibrated difficulty scores. We believe this unique dataset is not only an invaluable contribution to the NLP community but also a powerful resource that will enable in-depth investigations into how linguistic features, L1 background and contextual cues influence vocabulary difficulty. For more information on how to participate and latest updates, please refer to the shared task website: https://www.britishcouncil.org/data-science-and-insights/bea2026st Rubric-based Short Answer Scoring for German Organizers: Sebastian Gombert (DIPF), Zhifan Sun (DIPF), Fabian Zehner (DIPF), Jannik Lossjew (IPN), Tobias Wyrwich (IPN), Berrit Katharina Czinczel (IPN), David Bednorz (IPN), Sascha Bernholt (IPN), Knut Neumann (IPN), Ute Harms (IPN), Aiso Heinze (IPN), and Hendrik Drachsler (DIPF) Description: Short answer scoring is a well-established task in educational natural language processing. In this shared task, we introduce and focus on rubric-based short-answer scoring, a task formulation in which models are provided with a question, a student answer, and a textual scoring rubric that specifies criteria for each possible score level. Successfully solving this task requires models to interpret the semantics of scoring rubrics and apply their criteria to previously unseen answers, closely mirroring how human raters assign scores in educational assessment. Although rubrics have been used as auxiliary information in prior work on free-text scoring and LLM-based approaches, there has been little focused investigation of rubric-based short-answer scoring as a task in its own right. This setting poses distinct challenges, including ambiguous or underspecified rubric criteria and a wide range of valid student responses. With this shared task, we aim to stimulate systematic research on rubric-based scoring, assess how well current NLP methods can reason over rubrics, and identify promising modeling strategies. Additionally, by providing a German-language dataset, the shared task contributes a new non-English benchmark to the field. For more information on how to participate and latest updates, please refer to the shared task website: https://edutec.science/bea-2026-shared-task/ TUTORIAL Theory of Mind and Application in Educational Context Organizers: Effat Farhana (Auburn University), Maha Zainab (Auburn University), Qiaosi Wang (Carnegie Mellon University), Niloofar Mireshghallah (Carnegie Mellon University), Ramira van der Meulen (Leiden University), Max van Duijn (Leiden University). Description: This tutorial examines the integration of Theory of Mind (ToM) into AI-driven online tutoring systems, focusing on how advanced technologies, such as Large Language Models (LLMs), can model learners’ cognitive and emotional states to provide adaptive, personalized feedback. Participants will learn foundational principles of ToM from cognitive science and psychology and how these concepts can be operationalized in AI systems. We will discuss mutual ToM, where both AI tutors and learners maintain models of each other’s mental states, and address challenges such as detecting learner misconceptions, modeling meta-cognition, and maintaining privacy in data-driven tutoring. The tutorial also presents hands-on demonstrations of Machine ToM applied to programming education using datasets such as CS1QA and CodeQA, which contain Java and Python samples. By combining conceptual foundations, research insights, and practical exercises, this tutorial provides a comprehensive overview of designing human-centered, ethically aware, and cognitively informed AI tutoring systems. IMPORTANT DATES All deadlines are 11.59 pm UTC-12 (anywhere on earth). * Submission deadline: Thursday, March 5, 2026 * Notification of acceptance: Tuesday, April 28, 2026 * Camera-ready papers due: Tuesday, May 12, 2026 * Workshop: Thursday, July 2, and Friday, July 3, 2026 SUBMISSION INFORMATION We will be using the ACL Submission Guidelines for the BEA Workshop this year. Authors are invited to submit a long paper of up to eight (8) pages of content, plus unlimited references; final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. We also invite short papers of up to four (4) pages of content, plus unlimited references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers’ comments in their final versions. We generally follow ACL submission guidelines and will require that all submitted papers should include a dedicated "Limitations" section, which does not count toward the page limit. Papers which describe systems are also invited to give a demo of their system. If you would like to present a demo in addition to presenting the paper, please make sure to select either “long paper + demo” or “short paper + demo” under “Submission Category” in the START submission page. Previously published papers cannot be accepted. The submissions will be reviewed by the program committee. As reviewing will be blind, please ensure that papers are anonymous. Self-references that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …”, should be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …”. We have also included conflict of interest in the submission form. You should mark all potential reviewers who have been authors on the paper, are from the same research group or institution, or who have seen versions of this paper or discussed it with you. We will be using the START conference system to manage submissions. The link will be provided soon. DOUBLE SUBMISSION POLICY We will follow the official ACL double-submission policy. Specifically, papers being submitted both to BEA and another conference or workshop must: * Note on the title page the other conference or workshop to which they are being submitted. * State on the title page that if the authors choose to present their paper at BEA (assuming it was accepted), then the paper will be withdrawn from other conferences and workshops. ORGANIZING COMMITTEE * Ekaterina Kochmar, MBZUAI * Andrea Horbach, Hildesheim University * Ronja Laarmann-Quante, Ruhr University Bochum * Marie Bexte, FernUniversität in Hagen * Anaïs Tack, KU Leuven, imec * Victoria Yaneva, National Board of Medical Examiners * Bashar Alhafni, MBZUAI * Zheng Yuan, University of Sheffield * Jill Burstein, Duolingo * Stefano Bannò, Cambridge University Workshop contact email address: bea.nlp.workshop(a)gmail.com<mailto:bea.nlp.workshop@gmail.com> PROGRAM COMMITTEE Tazin Afrin; David Alfter; Bashar Alhafni; Maaz Amjad; Nischal Ashok Kumar; Stefano Bannò; Michael Gringo Angelo Bayona; Lee Becker; Beata Beigman Klebanov; Luca Benedetto; Bhavya Bhavya; Serge Bibauw; Ted Briscoe; Dominique Brunato; Jie Cao; Dan Carpenter; Jeevan Chapagain; Guanliang Chen; Mei-Hua Chen; Christopher Davis; Orphee De Clercq; Kordula De Kuthy; Jasper Degraeuwe; Dushyanta Dhyani; Yuning Ding; Rahul Divekar; Kosuke Doi; Mohsen Dorodchi; Yo Ehara; Hamza El Alaoui; Sarra El Ayari; Andrew Emerson; Yao-Chung Fan; Mariano Felice; Nigel Fernandez; Michael Flor; Thomas François; Thomas Gaillat; Ananya Ganesh; Ritik Garg; Sebastian Gombert; Samuel González López; Cyril Goutte; Abigail Gurin Schleifer; Na-Rae Han; Ching Nam Hang; Jiangang Hao; Aki Härmä; Hasnain Heickal; Chieh-Yang Huang; Chung-Chi Huang; Radu Tudor Ionescu; Elsayed Issa; N J Karthika; Anisia Katinskaia; Elma Kerz; Fazel Keshtkar; Grandee Lee; Ji-Ung Lee; Arun Balajiee Lekshmi Narayanan; Jiazheng Li; Anastassia Loukina; Wanjing Anya Ma; Jakub Macina; Lieve Macken; Nitin Madnani; Arianna Masciolini; Detmar Meurers; Michael Mohler; Phoebe Mulcaire; Ricardo Muñoz Sánchez; Sungjin Nam; Diane Napolitano; Huy Nguyen; S Jaya Nirmala; Sergiu Nisioi; Michael Noah-Manuel; Adam Nohejl; Amin Omidvar; Daniel Oyeniran; Robert Östling; Ulrike Pado; Yannick Parmentier; Ted Pedersen; Mengyang Qiu; Martí Quixal; Chatrine Qwaider; Arjun Ramesh Rao; Vivi Peggie Rantung; Manikandan Ravikiran; Hanumant Redkar; Robert Reynolds; Saed Rezayi; Frankie Robertson; Aiala Rosá; Andreas Säuberli; Nicy Scaria; Ronald Seoh; Pritam Sil; Astha Singh; Lucy Skidmore; Maja Stahl; Katherine Stasaski; Helmer Strik; Hakyung Sung; Sowmya Vajjala; Elena Volodina; Nikhil Wani; Alistair Willis; Fabian Zehner.

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Call for paper: BriGap-3, Bridges and Gaps between Formal and Computational Linguistics
by Timothée Bernard 20 Jan '26

20 Jan '26

*Call for paper: BriGap-3, Bridges and Gaps between Formal and Computational Linguistics* (with our apologies for cross-posting) Venue: Université Paris Cité, campus des Grands moulins, *Paris, France* Date: *July 11th, 2026* Event website: https://brigap-workshop.github.io/ *BriGap-3 is a venue for formal linguists, computational linguists and NLP scientists to meet: what fruitful interactions can we have? How do we build upon each other’s work?* * *Description* * Due to the groundbreaking achievements in the LLM era, the ongoing discourse in NLP has shifted more to what can be achieved through language than studying language for its own sake, and traditional conferences are increasingly dominated by engineering-oriented work. It could thus appear that computational and formal linguistics are more than ever separate domains. Yet, we are also witnessing a growing interest in linguistics in both explaining the successes of neural models and uncovering their limitations. Conversely, neural methods have proven their usefulness for linguistics time and again. To what extent are these traditions truly divorced, and what fruitful bridges can be (re)built? To answer these questions, the third iteration of the workshop on Bridges and Gaps between Formal and Computational Linguistics (BriGap-3) 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. * *Event 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 computational and information-theoretical 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* * - *Raquel FERNÁNDEZ*, Universiteit van Amsterdam - *Tal LINZEN*, New York University (to be confirmed) * *Submission details* * The event is designed with a widely inclusive submission policy so as to foster as vibrant a discussion as possible. In particular, we will accept: - Archival submissions, corresponding to novel and unpublished research, to be included in the event proceedings, - Non-archival submissions, corresponding to work in progress, early results, and articles presented in other venues that engage with the topics of the event. The event accepts both archival (original and unpublished research) submissions in either short (up to 4 pages) or long (up to 8 pages) format, and non-archival (work-in-progress, dissemination of research published or accepted elsewhere, etc.) submissions in short (up to 4 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-3 will be indexed in the ACL Anthology. Please use the ACL style templates available here: https://github.com/acl-org/acl-style-files Event website: https://brigap-workshop.github.io/ * *Important dates* * - *Submission deadline: Monday, April 27th, 2026*, (23:59 AoE) - Notification of acceptance: Monday, May 11th 2026 - Event: Saturday, July 11th, 2026 * *Contact* * For questions, please send an email to brigapworkshop(a)gmail.com or contact one of the event chairs: - Timothée Bernard, Université Paris Cité - Emmanuele Chersoni, Hong Kong Polytechnic University - Giulia Rambelli, Università di Bologna

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IVACS 2026 - Malta - CfP Deadline Reminder
by Christopher.Fitzgerald 20 Jan '26

20 Jan '26

Call for Papers deadline this Friday January 23rd IVACS 2026 – Inter-Varietal Applied Corpus Studies Conference 1–3 July 2026 | University of Malta, Valletta, Malta The IVACS Association is pleased to announce that the 12th Biennial IVACS Conference will be hosted by the University of Malta, Valletta Campus, from 1–3 July 2026. The IVACS Conference series is a leading international forum for corpus-based research into linguistic varieties and applications of corpus linguistics in professional, pedagogical, and social contexts. Following the successful series of conferences, IVACS 2026 will continue to build on this tradition of collaboration and innovation. We welcome proposals related to (but not limited to): * Corpus Design & Methodology: compilation, annotation, and representativeness * Applied Contexts: workplace and professional discourse, minority and endangered languages, translation, interpreting, multilingual communication, stylistics * Innovations & Emerging Directions: GenAI tools and platforms, multimodal corpora * Teaching & Learning: corpus applications in pedagogy, data-driven learning, assessment, teacher education, learner corpora, genre-based approaches * Corpus-Informed Materials: pedagogic grammars, textbooks, syllabi design * Theoretical Perspectives: sociolinguistics, pragmatics, critical discourse studies, intercultural communication * Corpus Linguistics and Ethical Practice: Ethical, transparent, and inclusive methods in corpus-based research Submission Details * Individual Papers: 20 minutes presentation + 10 minutes discussion * Colloquia: 90 minutes, consisting of 3 thematically linked papers * Posters: especially suitable for work-in-progress or early-stage projects * Paper, colloquia and poster abstracts should be submitted to ivacs2026(a)um.edu.mt<mailto:ivacs2026@um.edu.mt>. The language of the conference is English. We encourage submission of abstracts from early-career researchers, including postgraduate research students and postdoctoral researchers. Abstract specifications for Individual Papers and Posters: * 250 – 350 words in length (including references, if any) * Written in Times New Roman font and saved as a docs file * Page 1 will include: Title; Presenter(s); Affiliation(s); Email address(es), plus abstract * Page 2 will be anonymised and will include: Title and abstract only Abstract specifications for Colloquia: * A maximum of 1,000 words in length (not including list of references) * A single abstract on behalf of all speakers on the panel, detailing the overall motivation for the panel, individual contributions, and the proposed panel structure * Written in Times New Roman font and saved as a docs file * Page 1 will include: Theme for the panel; Title of each contribution; Presenters; Affiliations; Email addresses, plus abstracts * Page 2 will be anonymised and will include: Titles and abstracts only Important Dates * Abstract submission deadline: 23 January 2026 (23:59 UTC) * Notification of acceptance: Early March 2026 * Early-bird registration deadline: April 2026 * Conference dates: 1–3 July 2026 Séanadh Ríomhphoist / Email Disclaimer https://www.mic.ul.ie/about-mic/college-services/ict-services?index=5

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3rd CFP: LAnguage TEchnologies for Low-resource Languages (LaTeLL ’2026)
by Amal Haddad 19 Jan '26

19 Jan '26

International Conference 'LAnguage TEchnologies for Low-resource Languages' (LaTeLL '2026) Fes, Morocco 30 September, 1 and 2 October 2026 www.latell.org/2026/ [1] Third Call for Papers The conference Natural Language Processing (NLP) has witnessed remarkable progress in recent years, largely driven by the emergence of deep learning architectures and, more recently, large language models (LLMs). Nevertheless, these advances have disproportionately benefited high-resource languages that possess abundant data for model training. By contrast, low-resource languages which account for at least 85% of the world's linguistic diversity and are often spoken by smaller or marginalised communities, have not yet reaped the full benefits of contemporary NLP technologies. This imbalance can be attributed to several interrelated factors, including the scarcity of high-quality training data, limited computational and financial resources, and insufficient community engagement in data collection and model development. Developing NLP applications for low-resource languages poses major challenges, particularly the need for large, well-annotated datasets, standardised tools, and robust linguistic resources. Although several workshops have previously addressed NLP for low-resource languages, _LaTeLL_ represents the first international conference dedicated specifically to the automatic processing of such languages. The event aims to provide a forum for researchers to present and discuss their latest work in NLP in general, and in the development and evaluation of language models for low-resource languages in particular. Conference topics We invite submissions on a broad range of themes concerning linguistic and computational studies focusing on low-resource languages, including but not limited to the following topics: Language resources for low-resource languages * Dataset creation and annotation * Evaluation methodologies and benchmarks for low-resource settings * Lexical resources, corpora, and linguistic databases * Crowdsourcing and community-driven data collection * Tools and frameworks for low-resource language processing Core language technologies for low-resource languages * Language modelling and pre-training for low-resource languages * Speech recognition, text-to-speech, and spoken language understanding * Phonology, morphology, word segmentation, and tokenisation * Syntax: tagging, chunking, and parsing * Semantics: lexical and sentence-level representation NLP Applications for low-resource languages * Information extraction and named entity recognition * Question answering systems * Dialogue and interactive systems * Summarisation * Machine translation * Sentiment analysis, stylistic analysis, and argument mining * Content moderation * Information retrieval and text mining Multimodality and Grounding for low-resource languages * Vision and language for low-resource contexts * Speech and text multimodal systems * Low-resource sign language processing Ethics, Equity, and Social Impact for low-resource languages * Bias and fairness in low-resource language technologies * Sociolinguistic considerations in technology development * Cultural appropriateness and sensitivity Human-Centred Approaches in low-resource languages * Usability and accessibility of low-resource language technologies * Educational applications and language learning * Community needs assessment and technology adoption * User experience research in low-resource contexts Multilinguality and Cross-Lingual Methods for low-resource languages * Multilingual language models and their adaptation * Code-switching and code-mixing * Cross-lingual transfer learning in low-resource languages. Special Theme Track 1 -- Building Applications Based on Large Language Models for Low-Resource Languages _LaTeLL'2026_ will feature a Special Theme Track dedicated to the development of applications based on Large Language Models (LLMs) for low-resource languages. This track aims to explore innovative methodologies, architectures, and tools that leverage the power of LLMs to enhance linguistic processing, accessibility, and inclusivity for underrepresented languages. Contributions are encouraged on topics such as model adaptation and fine-tuning, multilingual and cross-lingual transfer, ethical and fairness considerations, and the creation of datasets and benchmarks that facilitate the integration of LLM-based solutions in low-resource settings. Special Theme Track 2 -- Modern Standard Arabic (MSA) and Arabic Dialects This special track addresses the unique challenges and opportunities in processing Modern Standard Arabic (MSA) and the rich landscape of Arabic dialects. The diglossic nature of Arabic, where the formal MSA coexists with numerous, widely used spoken dialects, presents a significant hurdle for NLP. While MSA is relatively well-resourced, Arabic dialects are quintessential examples of low-resource languages, often lacking standardised orthographies, annotated corpora, and dedicated processing tools. This track invites submissions on novel research and resources aimed at bridging this gap and advancing the state of the art in Arabic language technology. Topics of interest include, but are not limited to: * Dialect identification and classification * Creation of corpora and lexical resources for Arabic dialects * Machine translation between MSA and dialects, and across different dialects * Speech recognition and synthesis for dialectal Arabic * Computational modelling of morphology, syntax, and semantics for dialects * NLP applications (e.g., sentiment analysis, NER) for dialectal user-generated content * Code-switching between Arabic dialects, MSA, and other languages Submissions and Publication _LaTeLL'2026_ welcomes high-quality submissions in English, which may take one of the following two forms: * Regular (long) papers:Up to eight (8) pages in length, presenting substantial, original, completed, and unpublished research. * Short (poster) papers:Up to four (4) pages in length, suitable for concise or focused contributions, ongoing research, negative results, system demonstrations, and similar work. Short papers will be presented during a dedicated poster session. The conference will not consider submissions consisting of abstracts only. All accepted papers (both long and short) will be published as electronic proceedings (with ISBN) and made available on the conference website at the time of the event. The organisers intend to submit the proceedings for inclusion in the ACL Anthology. Authors of papers receiving exceptionally positive reviews will be invited to prepare extended and substantially revised versions for submission to a leading journal in the field of Natural Language Processing (NLP). Further details regarding the submission process will be provided in the follow up Calls for Papers. The conference will also feature a Student Workshop, and awards will be presented to the authors of outstanding papers. Important dates * Submissions due: 1 May 2026 * Reviewing process: 20 May - 20 June 2026 * Notification of acceptance: 25 June 2026 * Camera-ready due: 10 July 2026 * Conference camera-ready proceedings ready 10 July 2026 * Conference: 30 September, 1 October and 2 October 2026 Organisation Conference Chair Ruslan Mitkov (Lancaster University and University of Alicante) Programme Committee Chairs Saad Ezzini (King Fahd University of Petroleum & Minerals) Salima Lamsiyah (University of Luxembourg) Tharindu Ranasinghe (Lancaster University) Organising Committee Maram Alharbi (Lancaster University) Salmane Chafik (Mohammed VI Polytechnic University) Ernesto Estevanell (University of Alicante) Milica Ikonić Nešić (University of Belgrade) Further information and contact details The follow-up calls will provide more details on the conference venue and list keynote speakers and members of the programme committee once confirmed. In particular, the next (4th) call which is due before the end of February 2026, will provide information on the submission procedure. The conference website is www.latell.org/2026/ [1] and will be updated on a regular basis. For further information, please email 2026(a)latell.org Registration will open in March 2026. -- Amal Haddad Haddad (She/her) Facultad de Traducción e Interpretación Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad Lexicon Research Group |http://lexicon.ugr.es/haddad Co-Convenor, BAAL SIG 'Humans, Machines, Language'|https://r.jyu.fi/humala Event Coordinator, BAAL SIG 'Language, Learning and Teaching' =============== Cláusula de Confidencialidad: "Este mensaje se dirige exclusivamente a su destinatario y puede contener información privilegiada o confidencial. Si no es Ud. el destinatario indicado, queda notificado de que la utilización, divulgación o copia sin autorización está prohibida en virtud de la legislación vigente. Si ha recibido este mensaje por error, se ruega lo comunique inmediatamente por esta misma vía y proceda a su destrucción. This message is intended exclusively for its addressee and may contain information that is CONFIDENTIAL and protected by professional privilege. If you are not the intended recipient you are hereby notified that any dissemination, copy or disclosure of this communication is strictly prohibited by law. If this message has been received in error, please immediately notify us via e-mail and delete it" =============== Links: ------ [1] http://www.latell.org/2026/

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Postdoc Position: Chemical and Protein Language Models, Saarland University, Germany
by Dietrich Klakow 19 Jan '26

19 Jan '26

Postdoc Position: Chemical and Protein Language Models, Saarland University, Germany Our research group has a strong tradition in language models and their applications having made major contributions to both the core research as well as its use in areas like vision&language and low resource language processing. In recent years a new application area of LLMs has emerged: deep learning in scientific discovery. Therefore our research group is now focusing on getting a deeper understanding of how language models work and how they can be applied to biomedical domains. Our recent achievements include best paper awards at COLING, ACL and Interspeech. Many former group members now have faculty positions at institutions like Mila. 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 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 February 15th, 2026. Contact: Applications and any further inquiries regarding our research should be directed to dietrich.klakow(a)lsv.uni-saarland.de

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International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026): First Call for Journal First Papers
by Announce 19 Jan '26

19 Jan '26

*** First Call for Journal First Papers *** International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026) 29 September - 2 October 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://conf.researchr.org/home/variability-2026 The VARIABILITY conference series brings together the communities previously served by ICSR, SPLC, and VaMoS, forming a unified venue for research on variability, configuration, customization, and related disciplines in software and systems engineering. VARIABILITY 2026 invites Journal-First presentations of papers recently published in leading software engineering journals, including TSE, TOSEM, IST, EMSE, JSS, ASEJ, SoSyM, and reputable open-access journals. This initiative provides authors with the opportunity to engage directly with the VARIABILITY community, while offering attendees a richer and more diverse program. The Journal-First papers remain published in their respective journals, and a one-page summary will be included in the VARIABILITY 2026 proceedings with a pointer to the original publication. Scope To qualify for a Journal-First presentation at VARIABILITY 2026, a paper must meet these criteria: • It was published on the publisher’s website between May 2024 and March 2026. • It fits within the scope of VARIABILITY 2026, as described in the research track call (https://conf.researchr.org/track/variability-2026/variability-2026-papers#C…), and can bring new insights or directions to the community. • It presents new research results or significant extensions of prior work that have not been presented at SPLC, VaMoS, or ICSR before. • It has not been presented at, and is not under review for, Journal-First Tracks of other related conferences. How to Submit Authors of papers that meet the above criteria are invited to submit a short proposal for presentation. The proposal should be one page and include the following: • Paper title, authors, extended abstract, and a link or DOI to the original journal paper. • If the journal paper builds on or is related to previously published work (such as a poster or tool demo), the proposal must clearly explain why it should be considered a Journal- First paper. • All proposals must be submitted as a PDF via EasyChair: https://easychair.org/my/conference?conf=variability2026 (Journal-First Track). • Please upload both the proposal PDF and a ZIP file containing the original journal paper. Accepted papers will be published in the VARIABILITY 2026 Companion Proceedings published by Springer in the LNCS series. A Journal-First proposal must be at most one page long and it must follow the Springer guidelines: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… . By submitting your paper for inclusion in these proceedings, you acknowledge that you and your co-authors must comply with Springer’s publications policies (https://www.springer.com/gp/editorial-policies) including requirements related to research integrity, copyright, and ethical standards. Any alleged violations of these policies may be investigated by Springer and could result in corrective actions, including withdrawal of the paper. Evaluation and Selection Proposals will be selected based on the quality of the publication and the journal, after confirming that the paper fits the scope of the conference. Since the papers have already been peer-reviewed and accepted by their journals, they will not undergo another technical review. The goal is to include as many papers as possible in the Journal-First Track. However, if an unusually high number of papers are received, some might not be accepted. If needed, priority will be given to papers that best align with the conference topics of interests and the structure of the sessions. Conference Attendance For each paper accepted into the Journal-First Track, at least one author must register for the conference and attend to give the oral presentation. Important Dates (AoE) • Submission of Papers: 2 April 2026 • Notification of Acceptance: 1 June 2026 • Camera-Ready Submission: 15 July 2026 • Author Registration: 15 July 2026 Organisation General Chairs • George A. Papadopoulos, University of Cyprus, Cyprus • Gilles Perrouin, FNRS & University of Namur, Belgium Research Track Chairs • Thorsten Berger, Ruhr University Bochum, Germany • Ina Schaefer, KIT, Germany Industry Track Chairs • Shaukat Ali, Simula Research Lab and Oslo Metropolitan University, Norway • Martin Becker, Fraunhofer IESE, Germany Journal First Track Chairs • Mathieu Acher, University Rennes, Inria, CNRS, IRISA, France • Xhevahire Tërnava, LTCI, Télécom Paris, Institut Polytechnique de Paris, France Doctoral Symposium Track Chairs • Rick Rabiser, LIT CPS, Johannes Kepler University Linz, Austria • Iris Reinhartz-Berger, University of Haifa, Israel Demos and Tools Track Chairs • Sandra Greiner, University of Southern Denmark, Denmark • Leopoldo Teixeira, Federal University of Pernambuco Projects Showcase Chairs • Daniel Struber, Chalmers, University of Gothenburg, Radbound University, Sweden • Dalila Tamzalit, Nantes Université, France Hall of Fame Chairs • Martin Becker, Fraunhofer IESE, Germany • Goetz Botterweck, Lero - The Irish Software Research Centre and University of Limerick, Ireland • Natsuko Noda, Shibaura Institute of Technology, Japan Workshops Chairs • Lidia Fuentes, Universidad de Malaga, Spain • Malte Lochau, University of Siegen, Germany Tutorials Chairs • Loek Cleophas, Eindhoven University of Technology and Stellenbosch University, The Netherlands • Mahsa Varshosaz, IT University of Copenhagen, Denmark Proceedings Chair • Sophie Fortz, King's College London, UK Publicity Chairs • Wesley Assunção, North Carolina State University, USA • Kentaro Yoshimura, Hitachi Ltd, Japan Local Organiser and Finance Chair • George A. Papadopoulos, University of Cyprus, Cyprus

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[CFP – Deadline Extended] LPKM 2026
by imen touati 19 Jan '26

19 Jan '26

Call for Papers The ANLP Research Group of the MIRACL Laboratory, University of Sfax, Tunisia, is pleased to announce the 4th International Conference on Language Processing and Knowledge Management LPKM 2026, which will be held in Sousse, Tunisia, from May 5 to 7, 2026. This edition provides an opportunity to present cutting-edge research, promote interdisciplinary collaborations, and address emerging challenges in language processing, knowledge management, artificial intelligence, and intelligent systems Relevant topics for the conference include, but are not limited to, the following areas: 1. Artificial Intelligence and Data Science - Artificial Intelligence and Intelligent Agents - Artificial Intelligence and Machine Learning - Natural Language Processing (NLP) - Large Language Models (LLMs) - Data Science and Knowledge Engineering - Computer Vision and Image Processing 2. Systems, Software, and Security - Systems and Computing - Information Systems - Software Engineering and Software Architecture - System and Software Security - Security and Trust - Cloud Computing and Internet of Things (IoT) - Blockchain and Distributed Systems 3. Theory and Formal Methods - Algorithms, Automata, and Complexity - Logic, Semantics, and Theory of Programming - Static Analysis, Verification, and Testing 4. Cross-Domain AI Applications - AI in Healthcare - AI in Auditing - AI in Taxation, Economics, and Management - AI in Intelligent Automation - AI in Fraud Detection and Risk Management - AI in Finance and Financial Systems - AI-Driven Decision-Support Systems Paper Submission Authors are invited to submit their papers in PDF format via the CMT conference management system. Submitted papers must: - be written in English, - present original work not previously published or submitted elsewhere, - not exceed 10 pages (including tables, figures, and references), - follow the Springer LNCS format. All submissions will be reviewed based on relevance, originality, significance, and clarity. The conference proceedings will be submitted to Springer for publication and for indexing in DBLP and Scopus. Important Dates - Paper Submission Deadline (Extended): 31 January 2026 - Notification of Acceptance: 5 March 2026 - Camera-Ready Submission: 20 March 2026 - Conference Dates: 5–7 May 2026 For further information, please contact the organizing committee at: lpkm2026(a)fsegs.u-sfax.tn Conference website: https://sites.google.com/fsegs.usf.tn/lpkm-2026/home ___________________________ ___________________________________Imen TouatiPhd in Computer sciences

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