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online EMI corpus launch - 17 June - free registration
by Brezina, Vaclav 11 Jun '26

11 Jun '26

Dear all, Lancaster University warmly invites you to join us for the launch of the EMI Corpus, a unique new resource for researchers and practitioners interested in English as a Medium of Instruction. The event will take place on Wednesday 17 June, starting at 10.30am (UK time). For registration and further details, please see below. We look forward to welcoming you. Best wishes, Vaclav EMI Corpus Launch Date/time: Wednesday, 17 June, 10.30-13.00 (UK time) Cost: Free Online registration: https://tinyurl.com/3bntvhya We are excited to announce that the EMI Corpus of Student Academic Writing will be launched on 17 June 2026. Join us for the launch to hear more about how the corpus was constructed, what data it contains, and how to access it. EMI (English Medium Instruction) is a global pedagogical trend, with thousands of students studying for their degrees through the medium of English. The EMI Corpus captures disciplinary writing in this educational context from a number of countries and institutions. Currently, the EMI Corpus contains more than 6 million words from over 2,000 pieces of student academic writing in English from eight universities in Austria, China, Italy, Thailand and the UK (including data from Lancaster University student writing). The corpus represents writing from three major disciplinary areas: Arts, Humanities and Social Science, Business and Management, and Science and Technology. The project was funded by the British Council's Future of English project, and supported by the Centre for Corpus Approaches to Social Science (CASS) and Linguistics and English Language at Lancaster University. You can read more about the corpus and the project here: https://wp.lancs.ac.uk/emi-corpus-project/emi-corpus/ Event Programme (UK time) 10.30-11.00 Welcome and Introduction to the Future of English project 11.00-11.45 Building a Corpus of Student Academic Writing: Lessons from the EMI Corpus 11.45-12.00 Break 12.00-12.50 EMI Corpus: Description, Applications and Access 12.50-13.00 Closing remarks

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Call for Participation: Daleel 2026 - Arabic Argumentative Discourse Mining Shared Task
by Nabhani, S. 11 Jun '26

11 Jun '26

*Daleel 2026 - Arabic Argumentative Discourse Mining Shared Task* *ArabicNLP Conference, co-located with EMNLP 2026* Dear All, Registration is now open for *Daleel 2026: Arabic Argumentative Discourse Mining Shared Task*, which will be held as part of the ArabicNLP 2026 Conference, co-located with EMNLP 2026 in Budapest, Hungary. The shared task focuses on *the detection and classification of argumentative discourse units in Arabic* across two text genres: Editorials and Debates. *Tasks* - Task 1: Argumentative Discourse Unit Classification - Task 2: Argumentative Discourse Unit Detection *Awards* Monetary prizes will be awarded to the authors of the top three system description papers: - 1st Place: $400 - 2nd Place: $200 - 3rd Place: $150 *Important Dates* - June 5, 2026: Release of data, baselines, and evaluation scripts - July 25, 2026: Registration deadline and release of final evaluation input data - July 30, 2026: System submission deadline and final evaluation - August 6, 2026: System description paper submission deadline - August 13, 2026: Notification of acceptance - August 22, 2026: Camera-ready submission of system papers *For detailed information about the shared task and registration, please visit:* https://qatardebate.org/programs/academic-programs/daleel2026-shared-task/ *For questions, please contact:* daleel26(a)argsbase.net We look forward to your participation and to advancing research in Arabic argument mining together. *Organizers* - Sara Nabhani, University of Groningen - Nahla Bassyouni, QatarDebate - Ali Al-Zawqari, Vrije Universiteit Brussel - Mohammad Khader, QatarDebate - Khalid Al-Khatib, University of Groningen

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Job offer: PhD fellowship in Second Language Acquisition and Conversational AI (UCLouvain, Belgium)
by Magali Paquot 11 Jun '26

11 Jun '26

The University of Louvain (UCLouvain) has an opening for a PhD fellowship at the intersection of second language acquisition, learner corpus research and computer-assisted language learning, within the interdisciplinary research project “How Generative AI is shaping human language: insights from post-AI language use, learning and critical literacy”. • Full-time (100%) PhD fellowship for one year, renewable (max. 4 years) • Start date: 1 October 2026 • Supervisors: Prof. Serge Bibauw & Prof. Magali Paquot The project The PhD project will investigate the longitudinal effects of interacting with Generative AI (GenAI) chatbots on the second language (L2) development of French learners, with a focus on vocabulary and pragmatics. While conversational AI is increasingly used as a language-learning partner, its actual longitudinal effects on L2 development—and the extent to which learners may also acquire AI-specific linguistic fingerprints—remain largely unexplored. The project plans on following cohorts of L2 French learners, possibly in Hanoi, Vietnam, over one academic year. It will combine quasi-experimental studies on pragmatics and vocabulary learning and longitudinal corpus analysis of conversation logs. The doctoral researcher will be part of an interdisciplinary consortium, including two other PhD students, a post-doctoral researcher and five academic supervisors, investigating the impact of GenAI on language, communication, and critical literacy across educational and professional contexts. The broader project aims to address two critical gaps in current research: first, the need to understand how GenAI-produced language may reshape human writing, language learning, and communicative practices; and second, the importance of fostering critical competencies to help users engage thoughtfully with AI-generated content. The initiative brings together expertise from linguistics, second language acquisition, natural language processing, translation studies, and communication sciences to analyze how AI-generated language influences human language use and first and foreign language learning. By addressing both the linguistic and educational dimensions of generative AI, the project seeks to promote critical AI literacy, mitigate the risks associated with uncritical reliance on GenAI tools, and foster a more informed, ethical, and reflective integration of these technologies into academic and public life. Qualifications and expected profile Required: • Master degree in (Applied) Linguistics, Language Sciences, Romance Studies, Educational Sciences, NLP, or a closely related field • Excellent record of BA and MA level study • Excellent command of French (B2 minimum, C1 ideal) — the language of the empirical data • Excellent command of English (B2 minimum, C1 desired) — the language of publication and supervision • Strong analytical skills, scientific rigor, and intellectual curiosity • Autonomy, sense of teamwork, ability to listen and engage with colleagues across disciplines Assets: • Background or strong interest in second language acquisition and/or computer-assisted language learning • Familiarity with learner corpus research, quantitative methods, or experimental designs • Knowledge of R or Python for data analysis, or willingness to learn it quickly. • Interest in generative AI and its educational applications. • Willingness to travel (to academic conferences and possibly to Hanoi for data collection). Conditions of engagement • The contract will initially be for two years and may be renewed once, for a total duration of up to four years. • The candidate receives a doctoral fellowship grant (starting at approx. EUR 2,515 net per month). • The position requires residence in Belgium for the duration of the mandate. • Applicants from outside the EU are responsible for obtaining the necessary visa or permits, with the assistance of UCLouvain’s HR department. Application Application deadline: 7 August 2026 The application file (a single PDF) should include: • A one-page cover letter in English explaining your interest in this position and how you meet the requirements; • A curriculum vitae; • A one-page academic statement in French outlining your research interests, expectations and career goals; • Names and full contact details of two academic referees; • Copies of BA and MA diplomas and transcripts; • A copy of (or working links to) your master’s thesis and any academic publications (if applicable). Shortlisted candidates will be invited to an interview (in person in Louvain-la-Neuve or via videoconference) between 17 and 21 August 2026. Applications and inquiries should be sent by email to Prof. Serge Bibauw (serge.bibauw(a)uclouvain.be) and Prof. Magali Paquot (magali.paquot(a)uclouvain.be), with the subject line “SP3 PhD application — [Your name]”. We are hiring 3 doctoral students and one postdoctoral researcher. For more details, https://postai-language.netlify.app/recruitment Prof. Magali Paquot FNRS Senior research associate Professor of Linguistics, Faculté de philosophie, arts et lettres (FIAL) Institut Langage et Communication (ILC) UCLouvain

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37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): First Call for Journal First, Conference Second Proposals
by Announce 11 Jun '26

11 Jun '26

*** First Call for Journal First, Conference Second Papers *** 37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026) October 20-23, 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://cyprusconferences.org/issre2026/ ISSRE 2026 will continue running the “Journal First Conference Second” track that seeks to include journal papers in the ISSRE 2026 program. The authors of papers published recently in prestigious software reliability engineering journals are invited to send a proposal to present their work at ISSRE 2026. Note that the submitted J1C2 paper shall not be a former workshop or conference paper. Via this scheme authors have the possibility to present their work to a wider audience in person, discuss, network with peers, and drive renewed interest to their work. The journal-first manuscripts are published through the journals and will not be part of the ISSRE proceedings. The journal-first papers will be listed in the conference program. At least one author of each presentation accepted for the journal-first program must register and attend the conference to present the paper at the time identified in the program. Scope A journal-first presentation submitted to ISSRE 2026 must adhere to the following criteria: • The paper was accepted for publication not earlier than January 1st 2025. • The paper is in the scope of the conference, as defined in the call for ISSRE 2026 research papers. • The paper reports completely new research results or presents novel contributions that significantly extend and were not reported in prior work. • The paper has not been presented at, and is not under consideration for, journal-first programs of other conferences. Submission of Proposals Authors of manuscripts that respect these criteria are invited to send a one-page presentation proposal (in IEEE 2-column format) via this submission link on EasyChair: https://easychair.org/conferences/?conf=issre2026, consisting of the paper's title, the paper's authors, the paper's abstract, a description of how the paper fits into the conference theme, and a pointer to the original journal paper at the journal's Web site. If the paper is not online yet, then specify so. Authors will also have to upload a copy of the paper. Please make sure to select the J1C2 track at the beginning of the submission process. Authors will be invited to present their paper at ISSRE 2026 after a check that the paper is in scope for the conference and it adheres to the criteria above. The papers will not be reviewed again for technical content. In case an exceptionally high number of proposals is received, presentation proposals will be prioritized according to their fit to the conference theme and structure of sessions. The J1C2 Track Chairs will notify the authors about their decision. Important Dates (AoE) • J1C2 proposal submission deadline: July 20, 2026 • J1C2 notification deadline: August 10, 2026 • Author registration deadline: August 19, 2026 Organisation General Chairs • Leonardo Mariani, University of Milano - Bicocca, Italy • George A. Papadopoulos, University of Cyprus, Cyprus Program Coordinator • Roberto Natella, GSSI, Italy Research Program Committee Chairs • Domenico Cotroneo, UNC Charlotte, USA • Jie M. Zhang, King's College London, UK Industry Program Chairs • Jinyang Liu, Bytedance, USA • Sigrid Eldh, Ericsson AB, Sweden Workshop Chairs • Georgia Kapitsaki, University of Cyprus, Cyprus • August Shi, The University of Texas at Austin, USA Doctoral Symposium Chairs • Stefan Winter, LMU Munich, Germany • Lili Wei, McGill University, Canada Fast Abstract Chairs • Luigi Lavazza, University of Insubria, Italy • Yintong Huo, SMU, Singapore JIC2 Chair • Helene Waeselynck, LAAS-CNRS, France Publicity Chairs • Allison K. Sulivan, The University of Texas at Arlington, USA • Jose D'Abruzzo Pereira, University of Coimbra, Portugal Publication Chairs • Sherlock Licorish, Otago Business School, New Zealand • Maria Teresa Rossi, GSSI, Italy Artifact Evaluation Chairs • Naghmeh Ivaki, University of Coimbra, Portugal • Fumio Machida, University of Tsukuba, Japan Diversity and Inclusion Chair • Eleni Constantinou, University of Cyprus, Cyprus Financial Chair • Costas Pattichis, University of Cyprus, Cyprus Web Chairs • Michalis Ioannides, Easy Conferences LTD • Elena Masserini, University of Milano - Bicocca, Italy Registration Chair • Easy Conferences LTD

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PhD Position: GenAI and Academic Editing – Practices, Perceptions, and Linguistic Fingerprints (UCLouvain, Belgium)
by Magali Paquot 11 Jun '26

11 Jun '26

The Language and Communication Institute (UCLouvain, Belgium) has an opening for a PhD fellowship at the intersection of corpus linguistics, second language acquisition, and translation studies within the interdisciplinary research programme “How Generative AI is shaping human language: insights from post-AI language use, learning and critical literacy”. • Full-time (100%) PhD fellowship for one year, renewable (max. 4 years) • Start date: October 2026 • Supervisors: Marie-Aude Lefer & Magali Paquot The project This PhD project investigates the impact of generative AI (GenAI) on academic editing, addressing two key gaps: (1) the linguistic differences between professional and AI-generated edits in scholarly publications, and (2) how academic writers—from PhD students to senior researchers—engage with, evaluate, and learn from AI-assisted language editing. Using a combination of corpus analysis, interviews, and real-time editing tasks, this research will provide insights into the opportunities and challenges of using GenAI for academic editing. The candidate will contribute to corpus annotation, data collection, and analysis, while exploring the implications of GenAI for scholarly communication. They will also contribute to the development of a university-wide survey examining researchers’ use of and perceptions toward GenAI for academic writing and language editing. The doctoral researcher will be part of an interdisciplinary consortium, including two other PhD students, a post-doctoral researcher and five academic supervisors, investigating the impact of GenAI on language, communication, and critical literacy across educational and professional contexts. The broader project aims to address two critical gaps in current research: first, the need to understand how GenAI-produced language may reshape human writing, language learning, and communicative practices; and second, the importance of fostering critical competencies to help users engage thoughtfully with AI-generated content. The initiative brings together expertise from linguistics, second language acquisition, natural language processing, translation studies, and communication sciences to analyze how AI-generated language influences human language use and first and foreign language learning. By addressing both the linguistic and educational dimensions of generative AI, the project seeks to promote critical AI literacy, mitigate the risks associated with uncritical reliance on GenAI tools, and foster a more informed, ethical, and reflective integration of these technologies into academic and public life. The successful candidate will also be integrated into the Centre for English Corpus Linguistics (CECL). Qualifications and expected profile Required: • Master's degree in (Applied) Linguistics or Translation Studies • Excellent record of BA and MA level study • Excellent oral and written English (minimum level: C1) • Excellent analytical skills, scientific rigor, and intellectual curiosity • Knowledge of corpus linguistic techniques • Autonomy, sense of teamwork, ability to listen and engage with colleagues across disciplines • Willingness to live in Belgium and to travel abroad (to attend international academic conferences) Assets: • Knowledge of statistics and R • Knowledge of French • Familiarity with survey and interview research Conditions of engagement This doctoral fellowship is subject to the following conditions: • The contract will initially be for two years and may be renewed once, for a total duration of up to four years. • The candidate receives a doctoral fellowship grant (starting at approx. EUR 2515 net per month). • This position requires residence in Belgium for the duration of the mandate. • Applicants from outside the EU are responsible for obtaining the necessary visa or permits, with the assistance of UCLouvain staff department. Application Application deadline: 7 August 2026 The application file (a single PDF) should include: • a one-page cover letter in English, in which you specify why you are interested in this position and how you meet the job requirements outlined above; • a curriculum vitae in English; • a one-page academic statement in English, in which you outline your expectations about and plans for graduate study and career goals; • a copy of BA and MA diplomas and degrees; • a copy of (or working links to) your master thesis and academic publications (if applicable); • the names and full contact details of two academic referees. Shortlisted candidates will be invited to an interview (in person in Louvain-la-Neuve or via videoconference) in the second half of August 2026. Applications (as an email attachment) and inquiries should be addressed to both Magali Paquot (magali.paquot(a)uclouvain.be<mailto:magali.paquot@uclouvain.be>) and Marie-Aude Lefer (marie-aude.lefer(a)uclouvain.be<mailto:marie-aude.lefer@uclouvain.be>) with the subject line “SP2 PhD application — [Your name]”. We are hiring 3 doctoral students and one postdoctoral researcher. For more details, https://postai-language.netlify.app/recruitment Prof. Magali Paquot FNRS Senior research associate Professor of Linguistics, Faculté de philosophie, arts et lettres (FIAL) Institut Langage et Communication (ILC) UCLouvain

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Call for bids – ECIR 2028
by Ingo Frommholz 10 Jun '26

10 Jun '26

[Apologies for cross-posting] In 2028 ECIR will have its 50th anniversary – and you could be organising it! Where will the journey go after Southampton? We are interested in hearing from bidders who wish to organise the European Conference on Information Retrieval 2028 (ECIR 2028) in a European country. ECIR is the major information retrieval conference in Europe (CORE-A ranked). ECIR 2027 will be in Southampton, UK. Recent ECIR events have taken place in Delft, The Netherlands, 2026; Lucca, Italy, 2025; Glasgow, Scotland, 2024; Dublin, Ireland, 2023; Stavanger, Norway, 2022; Lucca, Italy, 2021 (online); Lisbon, Portugal, 2020 (online); Cologne, Germany, 2019; Grenoble, France, 2018; Aberdeen, UK, 2017. Interested? More info – https://www.bcs.org/membership-and-registrations/member-communities/informa… — Univ.-Prof. Dr. Ingo Frommholz (he/him), PhD, Dipl.-Inform., FBCS, FHEA Professor and Head of School of Applied Data Science Modul University Vienna, Austria Adjunct Professor, Bern University of Applied Sciences, Switzerland Chair, BCS Information Retrieval Specialist Group, UK Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Bluesky: @frommholz.org | Mastodon: @ingo@idf.social

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CfP: JAIR Special Track on Challenges in Pretraining
by Marco Antonio Stranisci 10 Jun '26

10 Jun '26

-------------------------------------------------------------------------------------- Call for Paper for the Special Track on Challenges in Pretraining -------------------------------------------------------------------------------------- Deadline: 31st October 2026 Website: https://jair.org/index.php/jair/specialtrack_pretrain Contact: marco.stranisci(a)gmail.com OVERVIEW -------------------------------------------------------------------------------------- The invention of Large Language Models (LLM) determined a paradigm shift in machine learning, which changed its focus from task-specific training of systems to their self-supervised pretraining on large data resources. This turn had a broad impact in Artificial Intelligence (AI) research, as it raises new challenges in the design and development of Machine Learning systems. Whilst the growing interest in language modeling is driving rapid innovation, research on pretraining remains fragmented. Training LLMs is a highly intersectoral endeavor that raises research challenges spanning a wide range of topics, addressed by multiple communities involved in the design of these technologies. However, the resulting research outputs are scattered across many venues, limiting a comprehensive understanding of the general challenges related to pretraining. The special track addresses this gap seeking submissions on the state of the art and existing challenges on pretraining. Specifically, the track focuses on the following broad content areas: ● *Pretraining Datasets*. The quality of pretraining datasets is crucial for developing LLMs. Recent research focuses not just on larger datasets but on data selection strategies aimed to improve performance efficiently. Data quality is also tied to governance in pretraining pipelines, requiring strong stewardship and archival practices. Methods like active learning and data minimization help reduce the amount of data needed while maintaining high-quality pretraining. ● *Model Architectures*. A large body of research explores what and how LLMs learn during pretraining, including studies on uncertainty, multilingual and token-free learning, and Mixture of Experts methods. It also examines architectural innovations: although autoregressive models dominate, alternatives such as neuro-symbolic and spiking neural networks aim to create more cognitively inspired learning approaches. ● *Computational Resources*. The growing computational need of training LLMs strongly influences pretraining strategies. Approaches like federated learning support distributed training while protecting data ownership and shaping model representations. Efficiently distributing computational loads to possibly heterogeneous platforms remains a complex optimization problem itself while alternative methods focus on training models under constrained computational budgets. This special track seeks contributions on the following, non-exhaustive list of topics: ● Advanced data selection and filtering strategies for pretraining ● Data stewardship and archival practices of pretraining data ● Data minimization and Active Learning approaches ● Neurosymbolic and cognitively inspired learning architectures ● Quantification and analysis of uncertainty in pretraining ● Tokenizer-free and alternative input representation approaches ● Distributed and federated learning for large-scale pretraining ● Language modeling under low-computational settings ● Benchmarking and resource efficiency analyses in pretraining The special track welcomes submissions that introduce innovative methodological contributions relevant to its topics. Papers that primarily rely on standard methods or established benchmarks fall outside the scope of this track. KEY DATES -------------------------------------------------------------------------------------- JAIR special tracks have a submission window. Papers can be submitted anytime during that window. They are reviewed as they arrive and accepted papers will go to production and will be published asynchronously as soon as they are ready, first as part of a usual JAIR pipeline and later on a JAIR webpage dedicated to the special track. *Target timeline*: ● Submission period: April 30, 2026 - October 31, 2026 ● First round of review and authors' notification: December 2026 ● Resubmissions: February 2027 ● Second round of review and authors' notification: April 2027 ● Final manuscripts: June 2027 Accepted submissions will be added to this page on publication. TRACK EDITORS -------------------------------------------------------------------------------------- Golnoosh Farnadi, McGill University Ferdinando Fioretto, University of Virginia Lucie Flek, University of Bonn Raphael Fischer, TU Dortmund Marco Antonio Stranisci, University of Turin ---- Marco personal website: https://marcostranisci.github.io/ ---- Marco personal website: https://marcostranisci.github.io/

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CFP 4th TRR 318 Conference: Scaffolding Social XAI 16–17 March 2027 in Paderborn, Germany
by j.b.fisher＠uni-paderborn.de 10 Jun '26

10 Jun '26

Dear Colleagues, we are the TRR 318 Constructing Explainability and are hosting the 4th TRR 318 Conference: Scaffolding Social XAI which will be held 16–17 March 2027 in Paderborn, Germany. Website: https://trr318.uni-paderborn.de/konferenzen/scaffolding-social-xai We invite submissions of: Extended Abstracts: 2 pages - Deadline: 1 November 2026. ________________________________________ CfP: 4th TRR 318 Conference: Scaffolding Social XAI ________________________________________ https://trr318.uni-paderborn.de/konferenzen/scaffolding-social-xai 16–17 March 2027 in Paderborn, Germany 4th TRR 318 Conference: Scaffolding Social XAI We invite submissions to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ________________________________________ Important Deadlines Extended Abstracts: (2 pages including references) deadline: 1 November 2026. Notification of Acceptance: 10 December 2026. ________________________________________ Speakers: tba ________________________________________ Topics ________________________________________ The interdisciplinary Collaborative Research Center TRR 318 Constructing Explainability explores the ways in which explanations are created, negotiated, and made meaningful across contexts. Previous editions have addressed dimensions of explanation, including understanding and contextualising. The 4th TRR 318 Conference turns to a perspective that has recently gained increasing attention in explainability research: Social XAI (sXAI), which conceptualises explainability as a social practice. Accordingly, the topic of the upcoming conference is "Scaffolding Social XAI." By scaffolding, we refer to the social and communicative supports that enable critical and interactive engagement with ideas, assumptions, technologies, and tools. This encompasses the ability to critically interrogate AI-generated outputs in practice (e.g., in educational contexts such as assessment or diagnosis), including emerging forms of XAI literacy as a situated competence. We invite contributions from a wide range of disciplines that address explainability as a social phenomenon, including work on: (a) explanatory practices in dyadic interaction; (b) explainability and interpretability in AI systems; or (c) explanation processes embedded in institutional and organisational settings. Topics of interest include (but are not limited to): • Explainability as a social and interactional practice; • Social XAI and critical perspectives on AI explainability; • Everyday explanations in dyadic or group interaction; • Explainability, interpretability, and transparency in human–AI or human–robot interaction; • The role of explanation in institutional, educational, clinical, or workplace settings; • Critical engagement with explanatory tools, technologies, and design practices; • XAI literacy and critical use of AI in professional practices (e.g., educational assessment, diagnosis, decision-making); • Theoretical, empirical, and methodological approaches to studying explanation across disciplines. ________________________________________ Submission Instructions Submissions are managed via EasyChair. Format Requirements: Please submit an extended abstract containing the following: • Length: 2 pages (including references). • Content: Title, author name(s), affiliation(s), email address(es), and 4–5 keywords. • Template: Please use the provided Word or LaTeX template. Presentation Formats: Accepted contributions may be presented as: • A 20-minute oral presentation • A poster Please indicate your preferred format within the submission. ________________________________________ Additional Information • Publication: Accepted papers will be published in the Proceedings of the 4th TRR 318 Conference. • Contact: Should you have any queries, please contact us at conference(a)trr318.uni-paderborn.de. General chairs: Amit Singh, Josephine B. Fisher, Katharina J. Rohlfing Program chairs: tbd — Conference Organization SFB/TRR 318 CONSTRUCTING EXPLAINABILITY Universität Paderborn SFB/TRR 318 Zukunftsmeile 2 33102 Paderborn Phone +49 5251 60-4493 Email conference(a)trr318.uni-paderborn.de Web trr318.de

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Final Reminder: Summer School on LLMs and NLP
by Amal Haddad 09 Jun '26

09 Jun '26

Final Reminder: Summer School on LLMs and NLP Alicante, Spain · 15-17 June 2026 *Limited places still available* We are pleased to invite students, researchers, and practitioners to participate in a three-day Summer School on Large Language Models and Natural Language Processing, taking place from 15 to 17 June in Alicante, Spain. The programme brings together leading researchers and experts to discuss the foundations, applications, and future directions of LLMs and NLP (https://summer-school.gplsi.es/programme/ [1]). The summer school will feature keynote talks by Roberto Navigli on lexical semantics in the LLM era and Preslav Nakov on open, safe, factual, and language-specific large language models, as well as a panel on the paradigm shift and the future of NLP featuring well-known NLP experts. Across three days, participants will explore a wide range of timely topics, including foundations of LLMs, LLMs for low-resource languages, datasets and bias, explainable AI in NLP, machine translation, eye-tracking and gaze data, digital humanities, legal NLP, quantum NLP, sentiment analysis, and model optimisation. Beyond the scientific programme, participants will also have the opportunity to enjoy Alicante's Mediterranean weather, welcoming atmosphere, and excellent local food. The summer school offers an excellent opportunity to learn from international experts, exchange ideas, and discuss current challenges in NLP and language technologies. There are limited places still available. See https://summer-school.gplsi.es/ for further details and registration. We warmly encourage interested participants to join us for this exciting event. -- 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://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsummer-sc…

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Extended Deadline: Oxford Test of English Learner Corpora Research Competition
by colinfinnerty＠yahoo.co.uk 08 Jun '26

08 Jun '26

We are delighted to announce the launch of the first annual Oxford Test of English Learner Corpora (OTELC) Research Competition, hosted by Oxford University Press. The application deadline has now been extended, and the eligibility criteria expanded. This is an exciting opportunity for master’s and PhD students, as well as recent master’s graduates in linguistics, corpus linguistics, language assessment, English language teaching/TESOL, or a closely related field to conduct original research using authentic test taker responses. Why participate? • Free access to the Oxford Test of English Learner Corpora • An opportunity to base a dissertation/thesis, coursework, or independent/pilot research projects on real learner data • Winner’s prize: a 13-inch iPad Air • Winning research published on the Oxford English Assessment Research webpage Eligibility Applicants must be either: • Currently enrolled in a master’s or PhD programme, or • A recent master’s graduate (within the past 12 months) How to apply Applicants should submit a research proposal using the official application form, outlining their aims, research questions, and how they plan to use the OTELC, along with a letter of reference from a tutor/professor supporting their application and confirming their academic suitability for the project. We especially welcome proposals exploring the intersection of corpus linguistics and second language assessment, as well as work that develops pedagogical materials or other applications of research-based findings. Full competition details are available on the competition page: https://elt.oup.com/feature/global/learner-corpora Extended Deadline: Friday, 31 July 2026 For any queries, please contact: OTELC(a)oup.com Please feel free to share this opportunity widely with colleagues and students. Best wishes, The Oxford Test of English Corpus team

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