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[CfP] 14th Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2026) - ECMLPKDD 2026
by angelica.liguori＠icar.cnr.it 13 Mar '26

13 Mar '26

14th Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2026) https://nfmcpworkshop.github.io * Submission deadline: June 14, 2026 * Notification of acceptance: July 16, 2026 * Workshop: September 7-11, 2026 The 14th edition of the Workshop New Frontiers in Mining Complex Patterns (NFMCP) will be hosted by the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) in Naples, Italy, from September 7 to 11, 2026. The workshop aims to bring together data mining and machine learning researchers and practitioners interested in analyzing complex data, such as multi-table data, semi-structured data, web data, time series and sequences, graphs, and trees. The NFMCP workshop is focused on exploring and sharing new techniques for analyzing complex data sources, which has become an increasingly common challenge with the rise of automatic systems collecting vast amounts of data with complex structures. The workshop's primary goal is to promote collaboration among researchers and practitioners, share knowledge and ideas, and encourage the exploration of innovative solutions for analyzing complex data sources. The NFMCP workshop provides a platform for researchers to present their latest research findings, discuss their work with others in the field, and foster interdisciplinary research collaborations. It is an exciting opportunity for data mining and machine learning enthusiasts to share their knowledge, explore new techniques, and collaborate with others in the field. The workshop's focus on complex and massive data sources makes it highly relevant to the machine-learning community, and its goals of promoting collaboration and innovation in the field make it a valuable event for all those interested in data mining and machine learning. ------------------------------------------------------------------------------------------ ### Call for papers We welcome submissions focusing on recent advances and the latest developments in analysing complex and massive data sources such as blogs, event or log data, medical data, spatio-temporal data, social networks, mobility data, sensor data and streams. In addition, we encourage submissions from statistics, machine learning and big data analytics, which present techniques that take advantage of the informative richness of complex, massive data for efficiently and effectively identifying new patterns. ### Workshop topics * Mining Big Data * Mining Biological Data * Social Media Analytics * Ontology and Metadata * Mining Multimedia Data * Sustainable Data Mining * LLMs for Pattern Mining * Mining Multi-relational Data * Mining Networks and Graphs * Mining Spatio-Temporal Data * Data Mining for Cybersecurity * Privacy-preserving Data Mining * Mining Dynamic and Evolving Data * Semantic Web and Knowledge Databases * Mining Environmental and Scientific Data * Mining Heterogeneous and Ubiquitous Data * Mining Semi-structured and Unstructured Data * Mining Stream, Time series and Sequence Data * Foundation on Pattern Mining, Pattern Usage and Pattern Understanding ### Paper submissions NFMCP welcomes diverse contributions, ranging from research papers showcasing well-established findings or ongoing work to innovative papers introducing novel ideas or exploratory research. Additionally, the conference embraces papers that share industry experiences and case studies. However, it is essential to highlight that papers based on work that has been recently published elsewhere will not be considered for inclusion in the conference proceedings. Submissions are accepted in two formats: * Extended abstract having at most 8 pages including references. Extended abstracts are intended to stimulate discussion and collaboration by either reviewing previously published research or outlining new emerging ideas. * Regular research papers having at most 12 pages including references. To be published in the proceedings, research papers must be original, not published previously, and not submitted concurrently elsewhere. The accepted contributions will be included in a joint Post-Workshop proceeding published by Springer Lecture Notes in Computer Science, in 1-2 volumes, organised by focused scope and possibly indexed by WOS. Papers authors will have the faculty to opt-in or opt-out. We suggest workshop papers are prepared and submitted in the format: LNCS format.

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Call for contributions: PsychLing-101 (open repository of psycholinguistic datasets)
by psychling101＠mpib-berlin.mpg.de 13 Mar '26

13 Mar '26

Dear colleagues, We are a group of researchers from the Max Planck Institute for Human Development, Humboldt University of Berlin, and the University of Milano-Bicocca, collaborating on a research initiative to build shared infrastructure for psycholinguistic research. We would like to invite contributions to PsychLing-101, a community-driven repository that collects psycholinguistic datasets in a unified format for both traditional analyses and evaluation of large language models. Project overview PsychLing-101 aims to build a curated corpus of psycholinguistic datasets stored in a standardized structure. The goal is to make datasets easier to find, reuse, and compare across studies, and to support more reproducible research in psycholinguistics and cognitive science. To build a broad and useful resource, we welcome contributions from researchers across the field. We invite datasets of many types, from norming studies and behavioral experiments to eye-tracking and neuroimaging data, including both large-scale collections and smaller curated studies. Repository and documentation: https://github.com/Data-X01/PsychLing-101 Ways to contribute Researchers can contribute in several ways: • Submit a dataset following the instructions in the repository README: https://github.com/Data-X01/PsychLing-101/blob/main/README.md • Curate an existing study from the list in the CONTRIBUTING file: https://github.com/Data-X01/PsychLing-101/blob/main/CONTRIBUTING.md • Suggest a dataset or study by opening an issue in the repository Outcome for contributors All dataset contributors will be included as co-authors on an overview paper describing the repository and the standardized corpus. Questions For questions or assistance, please open a GitHub issue or contact: psychling101(a)gmail.com If you think this initiative may be of interest to colleagues or students, we would greatly appreciate you sharing it within your networks. Best wishes, Taisiia Tikhomirova & Dirk Wulff (on behalf of the PsychLing-101 team)

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2nd CFP: 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)
by Ekaterina Kochmar 13 Mar '26

13 Mar '26

Second 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: https://softconf.com/acl2026/bea2026/ Submission Deadline: Monday, March 23, 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<https://sig-edu.org/members> (SIGEDU) 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<https://sig-edu.org/news/bea21-call-for-panelists/>”, 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. PANEL We invite applications and nominations for panelists to participate in a panel discussion on “Transitioning from Academia to the EdTech Industry.” Please see the call for panelists here: https://sig-edu.org/news/bea21-call-for-panelists/. 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: Monday, March 23, 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. Link for submissions: https://softconf.com/acl2026/bea2026/ 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. If you would like to join our PC, please fill in the form: https://forms.gle/gtKo6Bx6EFmwWf9w5

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DEADLINE EXTENDED: 2nd Workshop on Computational Humor (CHum @ ACL 2026)
by Tristan Miller 13 Mar '26

13 Mar '26

Final call for papers: 2nd Workshop on Computational Humor (CHum 2026) ====================================================================== The 2nd Workshop on Computational Humor (CHum 2026) will take place virtually on July 3 or 4, 2026 as part of the 64th Annual Meeting of the the Association for Computational Linguistics (ACL 2026). Scope and topics ---------------- CHum 2026 aims to foster further work on modeling the processes of humor with current methods in computational linguistics and natural language processing, against the theoretical backdrop of humor research and with reference to relevant corpora of textual, visual, and multimodal materials. A principal goal of the workshop is to unite researchers who can together probe the limits of various meaning representations -- symbolic, neural, and hybrid -- for humor processing. We welcome contributions on any topic relevant to the computational processing of humor, including but not limited to the following: * LLMs, knowledge representation * Resources and evaluation * Human-computer interaction * Computer-mediated communication * Assisted content creation * Machine and computer-assisted translation * Digital humanities applications * Formal modeling of humor * Proof-of-concept humor detection and classification Particularly encouraged are submissions describing inter- or multi-disciplinary work, whether completed or in progress, and position papers that critically discuss the past, present, and future of computational humor systems. Submission instructions ----------------------- Long and short papers should be formatted according to the same guidelines for the main ACL 2026 conference papers <https://2026.aclweb.org/calls/main_conference_papers/> and submitted through START: <https://softconf.com/acl2026/chum2026/> Important dates --------------- All deadlines are at 23:59 UTC-12:00 ("anywhere on Earth"). * Initial submission: March 12, 2026 (extended from March 5, 2026) * Notification of acceptance: April 28, 2026 * Camera-ready submission: May 12, 2026 * Workshop: July 3 or 4, 2026 Organizers ---------- * Christian F. Hempelmann, East Texas A&M University * Julia Rayz, Purdue University * Ori Amir, Fulbright University Vietnam * Tristan Miller, University of Manitoba * Tiansi Dong, University of Cambridge Further information ------------------- * Website: <https://chumweb.org/> * E-mail: chum(a)groups.io -- Dr. Tristan Miller, Assistant Professor Department of Computer Science, University of Manitoba https://clam.cs.umanitoba.ca/ | Tel. +1 204 474 6792

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*FINAL* Call for Abstracts -- 2026 NARNiHS Research Incubator -- North American Research Network in Historical Sociolinguistics
by Lauersdorf, Mark R. 13 Mar '26

13 Mar '26

**FINAL** CALL FOR ABSTRACTS *** 2026 NARNiHS Research Incubator *** North American Research Network in Historical Sociolinguistics *** 8th edition *** 07-09 May 2026 -- entirely online! ==> Abstract Submission Deadline ==> 23 March 2026, 11:59 PM (U.S. Eastern Time) The 2026 NARNiHS Research Incubator is an entirely online event (**with free registration**). This event offers an opportunity for scholars in historical sociolinguistics from all over the world to participate in discussions of cutting-edge research without the limitations imposed by international travel. We encourage our fellow historical sociolinguists and scholars from related fields in our global scholarly community to join us online for our Research Incubator this spring. Abstract submission deadline: 23 March 2026, 11:59 PM (U.S. Eastern Time) Abstract submission online: https://easyabs.linguistlist.org/submit/2026_Incubator/ The North American Research Network in Historical Sociolinguistics (NARNiHS) is accepting abstracts for its 2026 NARNiHS Research Incubator. The 8th edition of this inclusive NARNiHS event seeks to provide a collaborative environment where presenters bring work that is in-progress, exploratory, proof-of-concept, prototyping. The Incubator's audience actively participates in workshopping these new ideas, brainstorming along with the presenters to forge scholarly paths and develop research solutions. We see the NARNiHS Research Incubator as a place for testing and pushing boundaries; developing new theories, methods, models, and tools in historical sociolinguistics; seeking feedback from peers; and engaging in productive assessment of fledgling ideas and nascent projects. NARNiHS welcomes papers in all areas of historical sociolinguistics, which is understood as the application/development of sociolinguistic theories, methods, and models for the study of historical language variation and change over time, or more broadly, the study of the interaction of language and society in historical periods and from historical perspectives. Thus, a wide range of linguistic areas, subdisciplines, and methodologies easily find their place within the field, and we encourage submission of abstracts that reflect this broad scope. Successful abstracts for this research incubator environment will demonstrate thorough grounding in historical sociolinguistics, scientific rigor in the formulation of research questions, and promise for rich discussion of ideas. Abstracts should be explicit about which theoretical frameworks, methodological protocols, and analytical strategies are being applied or critiqued. Data sources and examples should be sufficiently (if briefly) presented, so as to allow reviewers a full understanding of the scope and claims of the research. Please note that the connection of your research to the field of historical sociolinguistics should be explicitly outlined in your abstract. Abstracts should not exceed one page (not including examples and references, see below). Failure to adhere to these criteria will likely result in rejection. We are soliciting abstracts for 25-minute presentations. Presenters will have the entire 25 minutes for their presentations, with discussion happening in the "incubation session" at the end of each panel. Presentations will be grouped into thematic panels of three presentations, each panel followed by an hour-long discussion with the audience led by specialists, creating a brainstorming/workshopping environment that encourages maximum exchange of ideas. Discussion will encompass specific feedback on the individual papers as well as consideration of overarching questions of theory, methods, and models emerging from the papers. To facilitate such discussion, authors will be required to submit a draft of their presentation materials for distribution to the panel discussants and to the other presenters a few days prior to the start of the conference. Abstracts will be accepted until Monday, 23 March 2026 -- late abstracts will not be considered. *** Abstract Content Requirements: 1) Abstracts should be explicit about which theoretical frameworks, methodological protocols, and analytical strategies are being applied or critiqued. 2) Data sources and examples should be sufficiently (if briefly) presented, so as to allow reviewers a full understanding of the scope and claims of the research. 3) The connection of your research to the field of historical sociolinguistics should be explicitly outlined. *** Abstract Format Guidelines: 1) Abstracts must be submitted in PDF format. 2) Abstracts must fit on one standard 8.5×11 inch or A4 page, with margins no smaller than 1 inch / 2.5 cm and a font style and size no smaller than Times New Roman 12-point. All additional content (visualizations, trees, tables, figures, captions, examples, and references) must fit on a single (1) additional page. No exceptions to these requirements are allowed; abstracts exceeding these limits will be rejected without review. 3) Anonymize your abstract. We realize that sometimes complete anonymity is not attainable, but there is a difference between the nature of the research creating an inability to anonymize and careless non-anonymizing (in citations, references, file names, etc.). Be sure to anonymize your PDF file (you may do so in Adobe Acrobat Reader by clicking on "File", then "Properties", removing your name if it appears in the "Author" line of the "Description" tab, and re-saving the file before submission). Do not use your name when saving your PDF (e.g. Smith_Abstract.pdf); file names will not be automatically anonymized by the EasyAbs system. Rather, use non-identifying information in your file name (e.g. HistSoc4Lyfe.pdf). Your name should only appear in the online form accompanying your abstract submission. Papers that are not sufficiently anonymized wherever possible will be rejected without review. *** General Conference Requirements: 1) Abstracts must be submitted electronically, using the following link: https://easyabs.linguistlist.org/submit/2026_Incubator/ 2) Papers must be delivered as projected in the abstract or represent bona fide developments of the same research. 3) Authors are expected to virtually attend the conference and present their own papers. 4) Presentations will be delivered via Zoom. Technical details and instructions regarding the platform will be sent to authors in due time. Please contact us at NARNiHistSoc(a)gmail.com with any questions.

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CFP: 47th Translating and the Computer Conference (TC47)
by Amal Haddad 12 Mar '26

12 Mar '26

Call for Presentations and papers 47th Translating and the Computer Conference (TC47) Luxembourg, 8 to 10 December 2026 https://asling.org/tc47/ AI-assisted or AI-eclipsed? Language services between promise and pressure AsLing invites submissions for the 47th edition of the Translating and the Computer Conference (TC47), to be held from 8 to 10 December 2026 in Luxembourg. The TC conference series brings together professionals, researchers, developers and decision-makers from the language industry, academia and public institutions. TC47 will explore how technological innovation - particularly AI - is reshaping multilingual communication, raising new questions about human agency, professional ethics, and sustainable practices in the language services sector. Conference theme _AI-assisted or AI-eclipsed? Language Services between Promise and Pressure_ _ _ From Machine Translation and LLMs applied to translation, language professionals face unprecedented change. TC47 invites reflection on how to navigate this evolving landscape - to ensure that technology empowers rather than eclipses, and that multilingual communication remains inclusive, trusted and professionally grounded. We especially welcome contributions exploring: * Synergy between human expertise and AI-powered tools * The role of AI in promoting or undermining inclusion and equity * Strategies for sustainable and ethical language services * Cross-sector collaboration between academia, industry, and institutions Submissions not focused on AI are equally welcome, particularly those addressing broader trends in multilingual communication, training, translation workflows, and evolving professional practices. We also welcome critical reviews and discussions on: * The broader impact of AI and automation on the language industry * Implications for training, education and career development of language professionals * Coexistence of AI and traditional practices * Impact of AI on language professionals * Adoption barriers and risks for LSPs new to AI * Future trends in translation, interpreting, and localisation - with or without AI * Responsible and sustainable development in language technologies (environmental, social, professional) Key areas of interest Include, but are not limited to: * Multilingual NLP and large language models * Human-in-control systems vs. human-in-the-loop AI * Terminology management and controlled language * AI readiness and digital transformation in LSPs * NLP, semantic technologies and linked data * Collaborative translation tools and environments * Quality assurance, benchmarking and evaluation * Training, professional development and digital upskilling * Inclusive and culturally aware AI systems * Sustainable practices across the language lifecycle * Language policy and digital language equality * FAIR data, corpora and infrastructure * Ethical implications and human oversight * Empowering language professionals to shape - not just use - AI tools * Non-AI innovations and evolutions in translation, interpreting, localisation or terminology work We invite: * Innovative research: studies that expand the boundaries of language technologies, multilingual NLP, or AI ethics. * Practical applications: case studies from public or private sector stakeholders showcasing language technology use and development. * Workshops and panels: interactive formats encouraging dialogue on timely, challenging or divisive issues in AI and language work. * Critical reflections: well-argued contributions questioning current uses of AI and proposing alternative, human-centred approaches. * Posters and short talks: snapshots of emerging projects, tools, or preliminary research. Submission tracks All submissions are for talks, within the following categories: * Research track (Academic) * 20-minute talk * Followed by a paper (max. 5,000 words) presenting original, unpublished research * User experience track (Non-academic) * 20-minute talk * Optional post-facto paper (max. 5,000 words) detailing workflows, tools or implementation cases * Posters / Short talks * 7-8-minute talk * Followed by a paper (max. 2,000 words) outlining a project, experiment, or tool * Workshops and panels * Interactive sessions with multiple speakers * Moderators may submit an optional post-facto paper summarising key takeaways Submission instructions Submissions must be made via the START conference submission system: https://www.softconf.com/p/tc2026 [1] Important dates * Deadline for research/user experience talks: 30 June 2026 ➤ Notification of acceptance: 31 August 2026 * Deadline for workshops and panels: 31 July 2026 ➤ Notification of acceptance: 15 September 2026 * Deadline for posters and short talks: 15 September 2026 ➤ Notification of acceptance: 30 September 2026 * Final paper submission (except post facto workshop and panel papers): 31 October 2026 * Conference dates: 8-10 December 2026 Submission guidelines Detailed submission guidelines, including templates and formatting instructions, will be available on the TC47 conference website. We look forward to your contributions that will help shape the future of language services through innovation, collaboration, and inclusivity. Why submit to TC47? TC47 offers a unique opportunity to engage in a multi-stakeholder dialogue that bridges research, practice and policy. It is a space for shared reflection on what language professionals need, what tools actually deliver and how we co-create a future where humans and AI work better together. For any questions, reporting of problems concerning submissions or the Conference at least, please email tc47-info(a)asling.org. Let's explore, challenge and shape the future of multilingual communication together! -- 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] https://www.softconf.com/p/tc2026/

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Call for Chapters- Data-Driven Language Teaching and Learning: Theory, Research, and Practice (Springer)
by Cansu Akan 12 Mar '26

12 Mar '26

Dear colleagues, We are pleased to announce an upcoming edited volume on "Data-Driven Language Teaching and Learning: Theory, Research, and Practice", to be published by Springer. With this email, we warmly invite chapter proposals from researchers, teacher educators, curriculum designers, and practitioners working across corpus linguistics, applied linguistics, language education, and educational technology. TOPIC OVERVIEW Data-Driven Learning (DDL), first introduced by Tim Johns (1991) as a method of classroom concordancing, has evolved considerably over the past three decades. Despite a substantial body of empirical evidence supporting corpus-based approaches for raising learner awareness, developing language autonomy, and supporting inductive learning, a persistent gap remains between research-based insights and everyday instructional decision-making. This volume addresses this gap directly. Through empirically grounded contributions, it demonstrates how data can be used to support instructional design, materials development, classroom interaction, and assessment -- enabling more informed and transparent pedagogical choices without requiring advanced technical expertise. By adopting a cross-contextual and language-independent perspective, the volume identifies transferable principles applicable across a wide range of teaching settings. We invite chapter proposals addressing topics including, but not limited to: - Corpus-based and data-driven approaches to language teaching, learning, and assessment - Data-informed instructional design and materials development - Classroom applications of DDL across educational levels and language learning contexts - Learner engagement with corpus tools and concordancing tasks - AI-assisted feedback, adaptive learning platforms, and intelligent tutoring systems in DDL contexts - Learner corpus research and its implications for pedagogy - Teacher education and professional development through data-informed practice - Digital tools, corpus technologies, and blended or online learning environments - Challenges and affordances of implementing DDL in multilingual or under-resourced settings - Theoretical and methodological frameworks for data-driven language pedagogy - Cross-contextual and comparative studies of data-informed teaching HOW TO CONTRIBUTE The volume operates a two-stage submission process. Stage 1 - Abstract Submission Prospective contributors are invited to submit an abstract of 400-600 words by 1 May 2026. Abstracts should include: - Title and full names and institutional affiliations of all contributors - A clear statement of the chapter’s focus, argument, research questions, and main contribution - The theoretical and/or empirical approach to be employed - The educational context, data, or corpus under investigation (if applicable) - The chapter’s relevance to the volume’s overarching themes - A short bibliography of key references (not counted in the word limit) Stage 2 - Full Chapter Submission Authors of accepted abstracts will be invited to submit full chapters of 7,000-9,000 words (including references) by October 2026. All full chapters will undergo double-blind peer review. Authors will receive detailed reviewer feedback and will be asked to revise and resubmit accordingly. IMPORTANT DATES Abstract submission deadline: 1 May 2026 Notification of outcome: Within three weeks of deadline Full chapter deadline: October 2026 Please submit your abstract by email to the corresponding editor, using the subject line: Chapter Proposal - Data-Driven Language Teaching and Learning. For questions related to the volume’s scope, submission guidelines, or any other matter, please do not hesitate to contact the editors. We look forward to receiving your proposals! Mehrdad Vasheghani Farahani (Corresponding Editor) submittingpapers(a)yahoo.com Cansu Akan Chemnitz University of Technology, Germany cansu.akan(a)phil.tu-chemnitz.de Sepideh Javdani Esfahani Chemnitz University of Technology, Germany sepideh.javdani-esfahani(a)phil.tu-chemnitz.de

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CFP: MIRROR@IberLEF2026: Platform online
by Luis Villaseñor-Pineda 12 Mar '26

12 Mar '26

<Apologies for cross-postings> -------------------------------------- *CALL FOR PARTICIPATION * -------------------------------------- MIRROR@IberLEF20206: Motivational Interviewing Response & Rating via Synthetic cOnversational tuRns Challenge platform now online: https://www.mirror-iberlef.lat/dashboard Just register, log in, and start making submissions. ------------------------------- ****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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Second call for papers: ESSLLI 2026 Workshop on Referring expression choice in grounded contexts: Linguistic, cognitive, and computational aspects
by Gemma Boleda 12 Mar '26

12 Mar '26

Second call for papers: CORE Project Workshop @ESSLLI 2026 Referring expression choice in grounded contexts: Linguistic, cognitive, and computational aspects ESSLLI 2026 Workshop 3-7 August 2026, Prague, Czech Republic Abstract submission deadline: March 31, 2026 Workshop URL: https://www.upf.edu/web/glif/esslli2026-workshop ESSLLI 2026 URL: https://2026.esslli.eu Workshop description: When we refer to entities and events in our environment, particularly (but not only) when visual information is present, we have choices. Depending on what has been said before, who or what else is in a scene, and the characteristics of what we want to refer to, we might say (among many other options) "the person running", "the runner", "the woman in the red shirt", "the one with the glasses", or "them over there". The extent of this variation in referring expression (RE) choice has become evident in recent large-scale datasets (Monroe et al. 2017, Silberer et al. 2020, He et al. 2023). Some of the factors influencing some kinds of choices in RE use have been amply studied – for example, between full noun phrases and shorter expressions involving demonstratives or pronouns (Ariel 1990, Gundel et al. 1993 and much later work), or between noun phrases with and without modification (e.g., Degen et al. 2020, Rubio-Fernandez and Jara-Ettinger 2020, and literature cited there). Others have received less attention – these include choices among noun phrases that reflect different levels of taxonomic granularity ("dog" vs. "husky", Graf et al. 2016, Kobrock et al. 2024, Liang and Liao 2024), choices arising from the cross-classifiability of referents (woman vs. runner, Mädebach et al. 2022, Gualdoni et al. 2023), choices based on salience or contrast (Clarke et al. 2013, Rubio-Fernández 2024, Bolea et al. to appear) or options for referring to individuals based on what they are doing or the scenes they appear in ("person running" vs. "runner", Tagliaferri et al. 2023), sometimes with the goal of producing particular sorts of causal inferences (Sasaki et al. 2025). The goals of this workshop are 1) to further document and gain insight into the range of this variation; 2) to highlight its relevance for semantic/pragmatic theory, for theories of language and cognition, and for the use of language in computation; and 3) to promote communication and synergies between researchers at the interfaces of linguistics, cognitive science, and computation who have studied different aspects of referring expression choice in grounded contexts. We welcome contributions on the following and other related questions: - Cognitive biases that influence tendencies in RE choice in grounded contexts. - The role of contrast in RE choice. - The role of the specific available linguistic alternatives and alternative-based reasoning in influencing RE choice. - The information load a referring expression has to bear given extralinguistic sources of information in the context, especially visual information. - Lexical/constructional effects and association strength between RE options and the referent in question. - RE variability and language change Invited speakers: Raffaella Bernardi (Bolzano) Laia Mayol (UPF) Denis Paperno (Utrecht) Submission guidelines: Abstracts should be at most two pages in 12pt font (plus up to one extra page for data and references). Since we want to promote participation and discussion and no proceedings will be published, workshop submissions are not limited to unpublished work. We welcome proposals for both long (30 min. + discussion) and short (15 min. + discussion) presentations. We also plan to devote one day to a poster session accompanied by lightening talks. Please indicate on your abstract which type(s) of participation you are interested in. Submission deadline: March 31, 2026. Submission is through Open Review at: https://openreview.net/group?id=ESSLLI.eu/2026/Workshop/CORE Contact email: louise.mcnally(a)upf.edu Important dates: Deadline for abstract submission: March 31, 2026 Notification of acceptance: April 30, 2026 Workshop dates: August 3-7, 2026

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Fully funded 3 year PhD/Postdoc positions on Linguistically Motivated Language Models (LMLM)
by Rob van der Goot 12 Mar '26

12 Mar '26

Dear Corpora list, I am looking for applicants for two fully funded PhD/postdoc positions for 3 years starting ~September 2026. Project description: LMLM proposes to build Linguistically Motivated Language Models (LMs). This involves adapting both the training regime and the LM architecture to incorporate different linguistic levels. The hypothesis is that this will lead to mitigation of shortcut learning and, in turn, more reliable LMs. The project will start on the lower levels, investigating how internal structures of words can be used in LMs, followed by words and the syntax level. There will be a strong focus on evaluation, incorporating both standard metrics and benchmarks as well as linguistically oriented and compositionality benchmarks. The successful candidate(s) will be part of the NLPnorth research group in the Data Science section of ITU, and are also encouraged to become affiliated with the AI Pioneer center. They will be supervised by me and a co-supervisor which is selected on a per-candidate basis. LMLM is funded by Carlsberg (https://www.carlsbergfondet.dk/en/what-we-have-funded/cf25-1861/). More information is available on: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… , and feel free to contact me with any questions. Best, Rob (https://robvanderg.github.io/)

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