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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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Final call for participation: Convergence 2026: Human-AI Integration for Multilingual and Accessible Communication
by Constantin Orasan 08 Jun '26

08 Jun '26

Dear Colleagues, We are pleased to invite you to participate in Convergence 2026: Human-AI Integration for Multilingual and Accessible Communication, which will take place between 17th and 19th June at University of Surrey, Guildford, UK. This year, in addition to onsite participation, we are delighted to offer an online participation option to make the event more accessible to a wider audience. Whilst the onsite registration is now closed, there is the possibility to attend the conference online. Building on the success of the first Convergence conference<https://www.surrey.ac.uk/centre-translation-studies/convergence-2023> in 2023, which explored the responsible and intelligent integration of human and machine capabilities in translation and interpreting, the Centre for Translation Studies is proud to organised Convergence 2026: Human-AI Integration for Multilingual and Accessible Communication. The second edition of the Convergence conference will create an opportunity to bring together innovative research on the evolving landscape of AI in the context of multilingual and accessible communication, reflecting on the complexity and effects of using AI-driven technologies in these fields. The conference will foster a multidisciplinary dialogue that will generate new theoretical perspectives and practical research, focusing on themes such as the ethical aspects of AI in translation and interpreting, AI-enabled digital accessibility and societal inclusion, and the impact of Generative AI on language mediation. We will also examine the evolving role of language professionals, the power of Large Language Models (LLMs) in supporting multilingual communication, and the crucial need for responsible use of language AI in the public sector. The conference programme includes keynote talks by leading experts, paper presentations, panel discussions, and poster sessions, providing a rich environment for exchanging ideas and fostering collaboration. For more information about the conference, programme details, and registration link, please visit: https://www.surrey.ac.uk/centre-translation-studies/convergence-2026 Online participants will be able to view all scheduled paper presentations, keynote speeches, and panel sessions via our streaming platform. They will have the opportunity to ask questions using the online Q&A facilities provided. To register, please visit https://www.surrey.ac.uk/centre-translation-studies/convergence-2026/regist… If you have any questions, please contact us at cts_inquiries(a)surrey.ac.uk<mailto:cts_inquiries@surrey.ac.uk>. Kind regards, Constantin -- Prof Constantin Orăsan Professor of Language and Translation Technologies Room 06LC03, Phone extension: 4115 Centre for Translation Studies<https://www.surrey.ac.uk/centre-translation-studies>, University of Surrey Third Floor | Library | University of Surrey | Guildford | Surrey | GU2 7XH Phone: +44 (0) 1483 684115 Personal page: https://www.surrey.ac.uk/people/constantin-orasan -- Prof Constantin Orăsan Professor of Language and Translation Technologies Room 06LC03, Phone extension: 4115 Centre for Translation Studies<https://www.surrey.ac.uk/centre-translation-studies>, University of Surrey Third Floor | Library | University of Surrey | Guildford | Surrey | GU2 7XH Phone: +44 (0) 1483 684115 Personal page: https://www.surrey.ac.uk/people/constantin-orasan

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Second CfP: 13th Web-as-Corpus (WaC-13) Workshop @EMNLP2026, Budapest, Hungary, 24-29 Oct, 2026
by Veronika Laippala 08 Jun '26

08 Jun '26

Second Call for Papers 13th Web-as-Corpus (WaC-13) Workshop @EMNLP2026, Budapest, Hungary, 29 Oct, 2026 https://wackyworkshop.org The World Wide Web has evolved from a resource for building linguistic corpora into the central data infrastructure powering modern natural language processing and Large Language Models (LLMs). As web-scale data increasingly shapes AI systems’ knowledge and capabilities, understanding its quality, representativeness, and ethical implications has become critical. At the same time, the “more is better” paradigm is being challenged by issues such as machine-generated content, data toxicity, limited metadata, and the under-representation of many languages and domains. These challenges call for a shift toward Data-Centric AI, focusing on the curation, analysis, and responsible use of web-derived data. The 13th Web-as-Corpus (WaC-13) workshop provides a multidisciplinary forum for research addressing the full lifecycle of web data. We invite submissions on methods, resources, and applications related to web corpora, with special emphasis on multilingual data and less-resourced languages. Topics of interest include (but are not limited to): * Creation and evaluation of high-quality datasets for foundation models (e.g., data collection, filtering, enrichment, language identification) * Use of web data in empirical linguistic research * Analysis of web-scale corpora for quality, representativeness, and societal insights * Ethical and legal aspects of collecting, sharing, and using web data By bringing together researchers from NLP, linguistics, and the social sciences, WaC aims to advance best practices for one of the field’s most influential data sources. Important dates: Direct paper submission deadline: 7 August, 2026 Pre-reviewed ARR commitment deadline: 1 September, 2026 Notification of acceptance: 5 September, 2026 Camera-ready paper due: 20 September, 2026 Workshop date: 29 Oct, 2026 Submissions: Submit your papers through https://openreview.net/group?id=EMNLP/2026/Workshop/WaC-13 or through ARR commitment https://openreview.net/group?id=EMNLP/2026/Workshop/WaC-13_ARR_Commitment. Workshop Organizers: Nikola Ljubešić, Jožef Stefan Institute, Slovenia Yves Scherrer, University of Oslo, Norway Laurie Burchell, Common Crawl Foundation Veronika Laippala, University of Turku, Finland Pedro Ortiz Suarez, Common Crawl Foundation Thom Vaughan, Common Crawl Foundation Vuk Dinić, Jožef Stefan Institute, Slovenia

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PhD Proposal GRAIL - NLP - Graph - France
by julien.romero＠telecom-sudparis.eu 08 Jun '26

08 Jun '26

Thesis Description The GRAIL (Grounded Recommendation with Auditable Inference Links) project addresses the structural challenges of two-sided cold start in job recommendation. The research focuses on algorithmic decision support within the highly dynamic labor market, where interactions are sparse and profiles are frequently new. The thesis centers on three primary scientific objectives: Uncertainty-Aware Extraction: Design a pipeline to extract missing skill tokens from unstructured resumes and job descriptions while maintaining strict document-level provenance and confidence scores. Hybrid Generative Recommendation: Develop a recommender component that infers missing candidate-job interaction edges to restore predictive power. Each generated edge must be accompanied by an auditable inference link, functioning as a compact evidence subgraph connecting job requirements directly to candidate profiles. Trustworthiness and Fairness Auditing: Implement rigorous equal-opportunity auditing focused on the candidate selection stage, utilizing sensitive attributes strictly for offline reporting to ensure transparent utility-fairness trade-offs. Timeline The PhD program is structured as a three-year project with defined research milestones: Year 1: Finalize the two-sided cold-start protocol, implement the uncertainty-aware skill extraction pipeline, and establish strong evaluation baselines to deliver the initial auditable evidence graph. Year 2: Develop the grounded generative module to propose candidate recommendations using auditable inference links and train the explicit predictive scorer. Year 3: Deploy equal-opportunity auditing mechanisms, quantify system robustness to extraction uncertainty, and consolidate the benchmark, pretrained models, and toolkit into a documented release. Required Skills and Qualifications Strong academic background in computer science, specifically in machine learning, natural language processing (NLP), or recommender systems. Proficiency in programming, algorithm design, and large-scale experimentation. Familiarity with heterogeneous graph-based learning or foundation models. Prior research experience is strongly recommended. Administrative Details Host Institution: Télécom SudParis, Institut Polytechnique de Paris (IPParis). Laboratory: SAMOVAR lab. Funding: Financed by Hi!Paris. Supervisor: Julien Romero. Start Date: September 2026 (flexible). Contract: Full-time. How to Apply To apply for this position, please submit the following materials: A comprehensive resume. A cover letter detailing your research interests and alignment with the GRAIL project. A complete transcript of your academic grades. Recommendation letters (highly appreciated).

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MIAI–PRAIRIE Online Seminar: Adele Goldberg (Princeton): Compositionality, creativity in natural language and LLMs (15/6, 5pm)
by Thierry Poibeau 08 Jun '26

08 Jun '26

MIAI–PRAIRIE Online Seminar on LLMs and the Study of Language, Mind, and Society Our next speaker will be Adele Goldberg, from Princeton, for a talk on ''Compositionality, creativity in natural language and LLMs’’, on Monday 15 June, 5pm (French time), Online, free access, with no registration Organized by Caroline Rossi (Université Grenoble Alpes / MIAI) and Thierry Poibeau (ENS–PSL / PRAIRIE–PSAI). Next year’s speakers will include Eloïse Boisseau (AMU, Marseille), and Dallas Card (U. Michigan), among others. ---- *** Compositionality, creativity in natural language and LLMs *** Monday 15 June, 5pm (French time), online (free access, no registration) Connexion link: https://webinaire.numerique.gouv.fr/meeting/signin/invite/78275/creator/433… Adele Goldberg, Princeton Abstract: Today’s LLMs interpret and produce familiar and novel language without abstract symbolic rules. An appreciation of the complexity of natural languages indicates this is more a feature than a bug. New evidence demonstrates that LLMs are also at least as creative as the typical person. Parallels between LLMs and human language highlight the statistical and functional aspects of both systems. For cognitive scientists, LLMs promise of a deeper understanding of compositionality and creativity. Bio: Adele Goldberg is the M. Taylor Pyne Professor of Psychology at Princeton University. Her research explores the formal, semantic, social, statistical, and memory-based factors that shape how languages are learned, represented, and used. She is fascinated by what makes human language both creative and constrained, across adults and children, first and second language learners, and neurotypical and atypical populations. Her current work touches on word meaning, language change, island constraints, metaphor and emotion, good-enough language production, and the forms and functions of grammatical constructions. She is a Fellow of the Linguistic Society of America, the Association for Psychological Science, and the Cognitive Science Society, and an elected member of the American Academy of Arts and Sciences.

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Lecturer jobs at Leeds University UK
by Eric Atwell 08 Jun '26

08 Jun '26

Leeds Uni is recruiting Lecturers in science and engineering, including AI and computer science - https://jobs.leeds.ac.uk/Vacancy.aspx?ref=EPSFD1003 Salary £51,753 to £59,966 p.a. Post Type Full Time, (permanent) Closing Date Tuesday 30 June 2026

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Two PhD positions In Lugano (Switzerland)
by lonneke.vanderplas＠usi.ch 08 Jun '26

08 Jun '26

Two fully funded PhD positions in the USI NLP Lab, led by Prof. Lonneke van der Plas, as part of SATURNA (https://www.saturna.ch/<https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fwww%2Esaturna%2Ech%2F…>), a large-scale Swiss National Science Foundation project. The successful candidates will work on developing and understanding transformer-based language models, their traditional application to languages and the challenges that their application to RNA sequences brings. One position will focus on new training methods and architectures for modeling long distance relations, segmentation, structure etc., while the other will focus on interpretability: how these models encode structure, regulation, and function. The PhD students are based at USI Università della Svizzera italiana in Lugano, and will join a fast-growing, vibrant, and interdisciplinary research environment spanning the Institute of Argumentation, Linguistics and Semiotics (IALS) and the Dalle Molle Institute for Artificial Intelligence (IDSIA), with close connections to collaborators across Switzerland and abroad including experts in graph deep learning, knowledge-enhanced AI, computational biology, and translational science from several institutions, such as Uni Bern and EPFL. Applications received before 15 June 2026 will be given priority, but the positions will remain open until filled. More information and application link here: https://content.usi.ch/sites/default/files/storage/attachments/ials/ials-id…<https://content.usi.ch/sites/default/files/storage/attachments/ials/ials-id….> Learn more about our lab here: https://usi-nlp.github.io/<https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fusi-nlp%2Egithub%2Eio…> -- Prof. Lonneke van der Plas Associate Professor of Natural Language Processing USI Università della Svizzera italiana https://usi.to/bkks

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Final CFP: [LaTeLL 2026] International Conference ‘LAnguage TEchnologies for Low-resource Languages’
by Salmane Chafik 08 Jun '26

08 Jun '26

International Conference ‘LAnguage TEchnologies for Low-resource Languages’ (LaTeLL ’2026) Fes, Morocco 28, 29 and 30 September 2026 www.latell.org/2026/ Final Call for Papers ***Final submission deadline 15 June 2026*** Authors who anticipate difficulties in completing the submission process by the deadline are encouraged to contact the conference organisers as soon as possible to discuss the possibility of a reasonable extension. 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 is 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 particularly in the development and evaluation of language models for low-resource languages. 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 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 will submit the proceedings for inclusion in the ACL Anthology. To prepare your submission, please make sure to use the LaTeLL’2026 style files available here: LaTeX: https://drive.google.com/file/d/1RceWyUqjFLEbv_oNto-x2Quop7qT4-wf/view?usp=… Word: https://docs.google.com/document/d/1m6VeC9jtMpe-Ku2QREgrPlE2-NTDvJvZ/edit?u… Overleaf: https://www.overleaf.com/read/ttzzfcnjrgvw#e82bef Papers should be submitted through Softconf/START using the following link: https://softconf.com/p/latell2026 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). The conference will also feature a Student Workshop, and awards will be presented to the authors of outstanding papers. Important dates Due to multiple requests, the submission deadline has been extended to 15 June 2026. In addition, note the revised conference dates below. ● Submissions due: 15 June 2026 ● Notification of acceptance: 21 July 2026 ● Camera-ready due: 31 July 2026 ● Conference: 28, 29 and 30 September 2026 Keynote speaker Nizar Habash (New York University Abu Dhabi) 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) Shahin Yousefi (Institute for Advanced Studies in Basic Sciences, Zanjan) Further information and contact details The follow-up calls will provide more details on the conference venue and registration. The conference website is www.latell.org/2026/ and will be updated on a regular basis. For further information, please email 2026(a)latell.org Conference registration is now open — please visit the conference website for further details.

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Call for Participation: AthensNLP 2026 summer school (deadline extended to June 10)
by A. Vlachos 07 Jun '26

07 Jun '26

Call for Participation AthNLP 2026 - 4th ATHENS NLP SUMMER SCHOOL ============================================ ** Preliminary schedule of Speakers, Labs, Events: https://athnlp.github.io/2026/schedule.html ** Info for sponsors: see here<https://drive.google.com/file/d/1J3AC6Yat2sfov0hpRXsCDXnnWLjdm9FI/view> We invite everyone interested in Natural Language Processing and Machine Learning to participate in the 4th Athens Natural Language Processing Summer School taking place in Athens, Greece at NCSR Demokritos Campus between 2-8 September 2026: https://athnlp.github.io/2026/ Important Dates -------------------------- * Application Deadline: June 10, 2026 May 31, 2026 * Decision Announcement: June 22, 2026 June 10, 2026 * Registration: July 12, 2026 June 30, 2026 * Summer School: September 2-8, 2026 Description ------------------ Following successful AthNLP editions in 2019, 2024, and 2025, AthNLP 2026 returns to the campus of NCSR Demokritos in Athens. The summer school is organised by NCSR Demokritos, the Athens University of Economics and Business, RC ATHENA, Heriot-Watt University and ELLIS Unit Manchester, in close collaboration with LxMLS (Lisbon, 20–25 July 2026). The school focuses on Machine Learning methods for NLP, especially Deep Learning and Large Language Models (LLMs), offering: Morning lectures on theory, afternoon hands-on lab sessions, evening research talks, poster sessions, and demos. Our target audience is: * Students and researchers in NLP/Computational Linguistics and Machine Learning; * Computer scientists with interest in NLP and ML; * Industry professionals seeking deeper understanding of these fields. While previous experience with the topics will be helpful, the school assumes no previous knowledge of Natural Language Processing and Machine Learning. The only background assumed is basic mathematics and Python programming. Features of AthNLP: * Attendance at the Social Event, daily lunch as well as morning and afternoon coffee breaks are included in the registration ee. * Lecturers are leading researchers in Machine Learning and NLP. * Students will be able to (optionally) show their current work in poster sessions during coffee breaks. Confirmed Speakers --------------------------------- * Antonis Anastasopoulos, George Mason Computer Science * Isabelle Augenstein, University of Copenhagen * Desmond Elliott, University of Copenhagen * Nizar Habash, NYU Abu Dhabi * Lingpeng Kong, University of Hong Kong * Julia Kreutzer, Cohere * Ryan McDonald * Dong Nguyen, Utrecht University * Anna Rogers, IT University of Copenhagen * Emine Yilmaz, University College London Participation --------------------- To apply, please fill this<https://ijerm0co.forms.app/athens-nlp-2026-summer-school-final> form. The fees are the following: * 300 EUR for students * 400 EUR for university professors or researchers at a public institute * 500 EUR for everyone else AthNLP Summer School Scholarship --------------------- Applicants can apply for the scholarship through the main application form<https://ijerm0co.forms.app/athens-nlp-2026-summer-school-final>. Scholarship recipients will be selected by the Admissions Committee and notified of the outcome after the acceptance decisions have been finalized. The scholarship provided covers only the registration fee for the AthNLP Summer School. Please note that accommodation, travel expenses, and visa costs are not included and remain the responsibility of the scholarship recipients. Any questions should be directed to: athnlp(a)athenarc.gr<mailto:athnlp@athenarc.gr> We are looking forward to your participation! -- The organizers of AthNLP 2026

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