September 2026 - Corpora

[DEADLINE EXTENSION] Last call for papers for NLP4CALL 2026
by Arianna Masciolini 22 Sep '26

22 Sep '26

|[DEADLINE EXTENSION] Last call for papers for NLP4CALL 2026 November 19-20, 2026. Gothenburg, Sweden and online https://nlp4call.github.io/current/ ________________________________________________________________________________ We are happy to announce the 15th edition of the NLP4CALL workshop on Natural Language Processing for Computer-Assisted Language Learning. This year, NLP4CALL will be a two-day hybrid event that will take place on November 19-20, 2026. Onsite participation will be possible at the Humanisten building of the University of Gothenburg (Renströmsgatan 6, Göteborg, Sweden) and a link for remote participation will be shared closer to the workshop dates. Both onsite and online participation are free of charge. Contents: - Workshop description - Submission information - Important dates - Registration - Invited speakers - Organizers - Contact - Funding Workshop description ________________________________________________________________________________ The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on integrating Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising from this connection. The latter includes, among others, the integration of insights from Second Language Acquisition (SLA) research, and the promotion of “Computational SLA” through setting up Second Language research infrastructures. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research — Intelligent CALL, or short, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into SLA theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop therefore invites a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competences from these areas for sharing experiences and brainstorming around the future of the field. We welcome papers: - that describe research directly aimed at ICALL; - that describe the ongoing development of resources and tools with potential use in ICALL, either directly in interactive applications, or indirectly in materials, application, or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback; - that discuss challenges and/or research agenda for ICALL; - that describe empirical studies on language learner data. This year, the workshop has a special focus on process-oriented approaches to educational NLP, including but not limited to work related to the collection and analysis of keystroke data from langauge learners. Submission information ________________________________________________________________________________ Submissions should describe original unpublished complete or in-progress work and follow the ACL Guidelines for Generative Assistance in Authorship (https://www.aclweb.org/adminwiki/index.php/ACL_Policy_on_Publication_Ethics…). Each submitted paper will be peer-reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be published both in the NEALT Proceeding Series and through the ACL anthology. We accept short, long and demo papers, all of which have to adhere to the following page limits: - short and demo papers: between 4 and 7 pages - long papers: between 8 and 12 pages. Also note that: - references and appendices do not count towards these page limits - the main body of the paper has to be self-contained, as reviewers are not required to read any appendices - camera-ready versions of accepted papers will be allowed an additional page to address reviewer comments. Papers should be submitted as PDFs through EasyChair (https://easychair.org/account/signin?l=7836699869611025050.1789051827.85f55…). LaTeX and Word templates are available at https://github.com/NLP4CALL/nlp4call.github.io/blob/website/_includes/other…. Important dates ________________________________________________________________________________ - paper submission deadline: September 27, 2026 (EXTENDED) - notification of acceptance: October 15, 2026 - camera-ready deadline: October 29, 2026 - workshop: November 19-20, 2026 All deadlines are AoE. Registration ________________________________________________________________________________ Registrations are open! You can find the registration form at https://forms.cloud.microsoft/pages/responsepage.aspx?id=Me2YB7D1NUmGPHPuJQ…. Invited speakers ________________________________________________________________________________ Prof. Andrea Horbach: A Focus on the Writing Process With and Without AI Support: Insights from the German PISA 2025 Foreign Language Assessment Data Collection Bio: Andrea Horbach has been professor for Educational NLP at Kiel University and the Leibniz Institute for Science and Mathematics Education (IPN) since 2024. Her research interests include free-text scoring, argument mining, automated feedback, and the use of process data for assessment. She is particularly interested in developing explainable and fair methods that support human agency in writing and assessment processes. Abstract: Automated essay scoring has traditionally focused on the text as the final written product. More recently, corpora that include keylogging data have made it possible to shift the focus toward writing as a process: to investigate how students write and revise their texts, and to explore whether scoring models can provide useful feedback before the final essay is completed. Moreover, AI-based writing support is becoming increasingly available, but we still know comparatively little about how students actually use such systems while writing. In this talk, I will give an overview of ongoing work based on data from the German PISA 2025 foreign language assessment. The data combine final essays and their scores with intermediate text states, keylogging information, and interaction logs from an LLM-based writing support chatbot. I will present first results on how intermediate texts and process information can be used as early evidence for automated scoring, and how students interact with AI support during writing. I will conclude by discussing what these data can tell us about timely feedback, the interpretation of process evidence, and the role of AI support in computer-assisted language learning. Dr. Rianne Conijn: Moving beyond the product: Keystroke Logging for CALL Bio: Rianne Conijn is an assistant professor in learning analytics in the Human-Technology Interaction group at Eindhoven University of Technology, the Netherlands. Her research focuses on developing methods to capture and model learning behavior (e.g., self-regulated learning) and writing behavior (e.g., revision processes), using fine-grained behavioral data, such as keystroke and clickstream data. In addition, she uses these methods to examine how educational technologies, such as generative AI, affect the learning process. Rianne recently received a NWO Veni grant on “Human-Centered AI in education” where she aims to improve human-AI collaboration in writing in higher education. Abstract: This abstract has been rewritten by me and polished with AI several times, yet you only read this final version. The final product of writing reveals little of the cognitive and behavioural activities involved in producing it. Keystroke logging, e.g. using Inputlog, can provide detailed insights into how writing unfolds. However, its value depends on how we interpret and analyse these data. In this talk, I show how keystroke data can inform our understanding of students’ writing at three levels, each making different aspects of the process visible and each requiring its own analytical choices. The micro level covers individual key events and short sequences, for instance showing that pauses cannot simply be equated with planning. The meso level characterizes how a writing session unfolds over time, revealing patterns that can inform writing instruction that whole-session averages obscure. The macro level extends the analysis across a project, tracing activity across sessions, drafts, and changing task demands. Finally, I discuss how these perspectives can help us investigate writing with generative AI, drawing on ongoing research into students’ master thesis writing. Together, these perspectives show how analysing writing at different levels can deepen our understanding of how students produce texts, both with and without generative AI. Organizers ________________________________________________________________________________ - Arianna Masciolini, Språkbanken Text, University of Gothenburg, Sweden - David Alfter, Gothenburg Research Infrastructure in Digital Humanities (GRIDH), University of Gothenburg, Sweden - Herbert Lange, Språkbanken Text, University of Gothenburg, Sweden - Ricardo Muñoz Sánchez, Språkbanken Text, University of Gothenburg, Sweden - Ildikó Pilán, Norwegian Computing Center, Norway - Elena Volodina, Språkbanken Text, University of Gothenburg, Sweden Contact ________________________________________________________________________________ For more information about the workshop, you are welcome to reach out to nlp4call2026(a)easychair.org. Funding ________________________________________________________________________________ This workshop is jointly supported by: - Språkbanken – jointly funded by its 10 partner institutions and the Swedish Research Council (2025–2028; project id 2023-00161); - Huminfra; - the Department of Swedish, Multilingualism, Language Technology; - the IncluEdS project. |

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annotrAIn: A Platform That Simplifies Annotation Projects
by George Giannakopoulos 22 Sep '26

22 Sep '26

Dear all, I am sharing an interesting annotation project from SciFY <https://scify.org/en/> (a multiply awarded <https://scify.org/en/awards-distinctions/>, not-for-profit IT company I co-founded back in 2012). The project is called annotrAIn. More info and contact information below. Best regards, George G. > Anyone who has worked on annotation projects (e.g. to train AI models) knows > how much effort and coordination they require... > > *annotrAIn* is a new online platform developed by the award-winning non-profit > organisation Science For You – SciFY <https://scify.org/>. It brings the > entire annotation project workflow into a single environment: from project > design and task assignment to team communication, quality monitoring, and > final data export. > > Built on SciFY’s years of hands-on experience with real-world annotation > projects, the platform is designed for: > > * research teams developing AI models > * data science professionals and ML engineers > * teams managing annotation projects > * annotators and domain experts > > *What your team gains* > > * significantly lower administrative overhead, with information no longer > scattered across folders, emails, and different tools > * better coordination and easier task assignment > * more consistent annotated data, with errors identified early > * faster project completion > > The platform is bilingual (Greek/English) and has been designed with a strong > focus on accessibility. > > 👉 *Watch a short presentation of the platform > <https://go.scify.org/AnnotrAInPresentation>* > > *Would you like to try it?* > Contact us at *info(a)scify.org* to request a demo or run a pilot annotation > project using your own data. > -- -------------------------------------------------------------------------------- My working day may not be your working day. Please do not feel obliged to reply to this email outside of your normal working hours. -------------------------------------------------------------------------------- *George Giannakopoulos, PhD* /Researcher/ Home page <http://www.iit.demokritos.gr/~ggianna> SKEL Lab - NCSR Demokritos <http://www.iit.demokritos.gr> and /Scientific Officer/ ahedd DIH - NCSR "Demokritos" <https://ahedd.demokritos.gr> and /Co-founder, Chief Executive Officer/ SciFY Not-for-Profit Company <http://www.scify.org>

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Second Call for Papers on Challenges in Pretraining
by Marco Antonio Stranisci 22 Sep '26

22 Sep '26

-------------------------------------------------------------------------------------- Second Call for Papers for the Special Track on Challenges in Pretraining -------------------------------------------------------------------------------------- Deadline: 31st October 2026 Website: https://jair.org/index.php/jair/specialtrack_pretrain Contact: marcos(a)itu.dk 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, IT University of Copenhagen ---- Marco personal website: https://marcostranisci.github.io/

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[Call for Paper] Knowledge and Natural Language Processing Track @ ACM SAC 2027
by Patrizio Bellan 22 Sep '26

22 Sep '26

*Knowledge and Natural Language Processing Track @ ACM SAC 2027* *Aim and Scope* The Knowledge and Natural Language Processing (KNLP) Track at the ACM Symposium on Applied Computing investigates methods and applications at the intersection of *Knowledge Engineering* and *Natural Language Processing*, with particular emphasis on approaches that combine these two areas. KNLP is an emerging and highly interdisciplinary research field at the core of Artificial Intelligence. It brings together and complements scientific advances in Natural Language Processing, Knowledge Representation and Reasoning, Machine Learning, and related disciplines. *Topics of Interest* Topics of interest include, but are not limited to, the following. *Natural Language Processing* - NLP methods for knowledge extraction - NLP for ontology population and ontology learning - Sentiment analysis and opinion mining for knowledge-based applications - Interplay between natural language and ontologies - NLP for explainable knowledge - Machine translation techniques for multilingual knowledge - NLP for the Web - Bias detection and mitigation in small and large language models - Interaction between small or large language models and knowledge *Knowledge* - Knowledge-enhanced NLP - Knowledge for information retrieval - Knowledge-based sentiment analysis and opinion mining - Combining knowledge and deep learning for NLP - Knowledge technologies for the Web - Knowledge-enhanced agentic reasoning - Agent reasoning over knowledge graphs and ontologies - Knowledge-based agent personalization - Linked Data for NLP - Knowledge-based natural language explainability - Language-model-enhanced ontology and knowledge engineering methodologies and tools - Language-model-based agents for knowledge extraction, reasoning, and management - Ontology evaluation using small and large language models - Ontological knowledge representation and memorization in language models - Knowledge-based techniques for language models, including Retrieval-Augmented Generation, fact-checking, and bias mitigation - Question answering over knowledge graphs using small and large language models *Real-World Applications Exploiting Knowledge and NLP* - Knowledge and NLP systems for Big Data scenarios - Knowledge and NLP technologies supporting a diverse, equitable, and inclusive society - Deployment and evaluation of Knowledge and NLP systems in domains such as: - Digital Humanities and Social Sciences - eGovernment and public administration - Life sciences, healthcare, and medicine - News, media, and data-streaming environments *Paper Submission* We invite original research papers and experience reports addressing the topics listed above. Submissions must not have been previously published or be under consideration for publication elsewhere. Papers must be submitted in PDF format using the official ACM SAC proceedings template. Authors’ names and affiliations must be entered separately in the submission system and must not appear in the submitted manuscript. All submissions will undergo a *double-blind peer-review process* in accordance with ACM SAC regulations. Submissions to the *Student Research Competition (SRC)* are also welcome. Prospective authors should consult the SAC 2027 SRC page for eligibility requirements and submission instructions. *Submission Policy* - All papers must initially be submitted as *regular papers*. There is no separate submission category for poster papers. - Papers will be evaluated according to their originality, technical contribution, presentation quality, and relevance to the Knowledge and Natural Language Processing Track. - Depending on the outcome of the review process and the overall acceptance-rate constraints, technically sound submissions that cannot be accepted as regular papers may be offered acceptance as posters. - Although there is no formal minimum page requirement, submissions shorter than *four full pages* that do not demonstrate a substantial contribution may be desk-rejected without external review. *Submission Links* - *Regular papers and SRC abstracts:* submission links are available through the ACM SAC 2027 website <https://www.sigapp.org/sac/sac2027/> - *Author kit and templates:* formatting instructions and official templates are available through the ACM SAC 2027 website <https://www.sigapp.org/sac/sac2027/> *Important Dates* Please consult the official ACM SAC 2027 website <https://www.sigapp.org/sac/sac2027/#important-dates> for up-to-date deadlines and possible changes. - *October 2, 2026:* Regular paper and SRC abstract submission - *November 13, 2026:* Author notification - *November 28, 2026:* Camera-ready copies of accepted papers and SRC submissions - *December 5, 2026:* Author registration deadline - *April 5–9, 2027:* Knowledge and Natural Language Processing Track at ACM SAC 2027 All deadlines follow the time zone specified on the official conference website. *Further Information* For further information, please visit the Knowledge and Natural Language Processing Track website <https://knlp.fbk.eu/> and the ACM SAC 2027 conference website <https://www.sigapp.org/sac/sac2027/>. Questions may be addressed to the KNLP Track Co-Chairs <knlp(a)fbk.eu>. -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Call for abstracts: Data in Historical Linguistics 2027 Seminars
by Andrea Farina 21 Sep '26

21 Sep '26

Join our mailing list!<https://datainhistoricallinguistics.wordpress.com/join-us/> We are pleased to announce that the call for abstracts for the third series of the Data in Historical Linguistics seminar series is now open. These seminars will be run by King’s College London and CNR–ILC and are mostly aimed at PhD students and Early Career Researchers (ECRs). The purpose of this seminar series is to bring together researchers working on historical linguistics with a quantitative approach, and to discuss current avenues of research in this topic. Following on from the success of the first two series, we hope that this third seminar series will continue to nurture international collaboration and establish academic ties among researchers working on similar topics in this field. This year, the seminar series will be sponsored by CLARIN<https://www.clarin.eu/>. Seminars will start in January 2027 and will last one hour. This year, we welcome abstracts for two possible formats: * Research presentation: a 30-minute talk, followed by 30 minutes of discussion. * Interactive session: a 45-minute hands-on workshop in which the speaker presents and demonstrates digital/computational tools, with opportunities for participants to experiment with the tool themselves, followed by 15 minutes of discussion. All seminars will be held remotely via Microsoft Teams on Mondays at 5pm GMT. They will provisionally be held fortnightly, depending on the number of speakers. We invite proposals from PhD students and ECRs working on Historical Linguistics, with an emphasis on quantitative approaches. Abstracts (maximum 400 words) should: 1. describe the dataset (language, size, object, methodology) 2. specify whether the analysis was conducted manually or computationally 3. specify whether they are intended for a research presentation or an interactive session Abstracts (in .docx format) and personal information (name, surname, affiliation, email address) should be emailed to Andrea Farina (andrea.farina(a)kcl.ac.uk<mailto:andrea.farina@kcl.ac.uk>). The deadline for the abstracts is 1st December 2026. All this information is readily available at our website: https://datainhistoricallinguistics.wordpress.com/

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ECA 2027: Call for Papers
by Hautli-Janisz, Annette 21 Sep '26

21 Sep '26

Call for Papers: The European Conference on Argumentation 2027 (ECA 2027) ****************************************************************************************** The European Conference on Argumentation (ECA) is a biennial pan-European initiative aiming to consolidate and advance research on argumentation across various disciplines. The special topic of ECA 2027 is "Argumentation in Scientific Discourse", with the main objective to identify the key research areas related to the role of argumentation in the production, communication, and critical evaluation of scientific knowledge. Science is inherently argumentative: from the construction of hypotheses and the interpretation of evidence to the peer review process and the public communication of research findings, argument is the lifeblood of scientific inquiry. Yet the norms, structures, and social dynamics of scientific argumentation remain incompletely understood and are today subject to unprecedented pressures. Hence there is a need to develop and refine the conceptual and methodological tools that argumentation research can offer to better understand, evaluate, and strengthen argumentative practice across the full spectrum of scientific discourse — from the laboratory notebook to the policy brief, from the journal article to the science podcast. Submissions outside of the scope of the special theme Argumentation in Scientific Discourse are also accepted. We invite submissions from all sub-disciplines of argumentation, on all relevant topics, and employing a variety of methods and approaches. These may include, but are not limited to, the following: - argumentative design - argumentation schemes and patterns: analogy, practical argument, conduction, … - argumentation in special contexts: finance, medicine, law, policy-making, academy, (social) media, … - artificial arguers (generative AI) - controversy and disagreement - critical thinking - dialogue logic, empirical logic, informal logic, … - discourse analysis - empirical research on argumentation - fallacies - normative pragmatics - education and pedagogy - philosophy of argument - rhetoric and argumentation - strategic manoeuvring - virtues - visual and multimodal argumentation More information on https://ecargument.org/. -- Abstract submission -- Submission link: https://openreview.net/group?id=ECA/2027/Conference 1) Long paper, with a commentator Submit an abstract of 1000 to 1500 words, ready for double-blind reviewing. Accepted papers are submitted before the conference (see “important dates” below) and are assigned a commentator. Authors receive presentation slots of 35 min. For publication purposes, long papers should not exceed 7000 words. 2) Regular paper, without a commentator Submit a regular abstract of 300 to 500 words, ready for double-blind reviewing. Accepted regular papers are submitted after the conference, and no commentator will be assigned. Authors receive presentation slots of 25 min. For publication purposes, regular papers should not exceed 5000 words. 3) Thematic panel or symposium Each thematic panel/symposium is expected to be related to the theme “Argumentation in Scientific Discourse”. Panels should allow presentations by 3 to 5 speakers with a total duration ranging from 90 to 150 minutes. Panels may include a panel respondent (panel organizer(s) or someone invited by the panel organizer(s)). Panel proposals are submitted by the panel organizer and should be prepared for double-blind review. Proposals shall include the following: a title, a description of the panel and its connection to the conference theme (300-500 words), the titles and abstracts of all contributions to the panel (300-500 words each), and the name of the respondent (if applicable). For publication purposes, panel/symposium papers may not exceed 5000 words (incl. references and footnotes). Please note that all abstracts in the panel/symposium should also be individually submitted by their authors as ‘Regular papers’. When submitting these individual contributions, authors must include the sentence “My paper is part of the thematic panel/symposium…” followed by the title of the symposium at the very beginning of the paper abstract. 4) Poster Submit a regular abstract (300 – 500 words) ready for double-blind reviewing. Posters will neither be assigned a commentator nor published. Posters shall be in printed format (A1 size). -- Submission and review policy -- Only one paper as first author, except when the author also submits a panel contribution. Double-blind peer review for quality and relevance by the Scientific Committee. -- Scientific committee -- Annette Hautli-Janisz (University of Passau, DE — Chair) Elena Cabrio (Université Côte d’Azur, Inria, CNRS) John Casey (Northeastern Illinois University) Gabriela Kisicek (University of Zagreb) Constanza Lucchini (USI Lugano) Steve Oswald (University of Fribourg) Lotte van Poppel (University of Groningen) -- Important dates -- Abstract submission deadline: 20 November 2026 Notification of acceptance/rejection: 5 February 2027 Submission of long papers to commentators: 15 March 2027 Early-bird registration: 1 March 2027 Final registration: 20 May 2027 Conference: 28 June – 1 July, 2027

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NAACL 2027: Call for System Demonstrations (Deadline: December 4, 2026)
by ACL Announcements 19 Sep '26

19 Sep '26

Call for System Demonstrations NAACL 2027 June 1-5, 2027 | San Francisco, California, USA Submission deadline: December 4, 2026, 11:59 p.m. UTC-12 (Anywhere on Earth) Full call: https://2027.naacl.org/calls/system_demonstration/ Overview We invite NLP system demonstrations from academic researchers, industry practitioners, and open-source contributors. Submissions must demonstrate practical value supported by evaluation; a working prototype alone is insufficient. Submission Requirements - Up to 6 content pages, excluding references and an optional ethics/broader-impact statement; appendices may add up to 2 pages. - A demonstration video of up to 2.5 minutes. - A live-demo or downloadable installation link; see the full call for exceptions. - Direct submission to the Demo Track through OpenReview, with author names and affiliations included (single-blind review). Important Dates - Submission portal opens: November 1, 2026 - Paper submission deadline: December 4, 2026 - Acceptance notification: February 10, 2027 - Camera-ready deadline: March 3, 2027 All deadlines are 11:59 p.m. UTC-12 (Anywhere on Earth). Submission -- opens November 1, 2026 https://openreview.net/group?id=aclweb.org/NAACL/2027/Demo_Track Contact naacl-2027-demo-chairs(a)googlegroups.com Demo Chairs Kun Qian and Sowmya Vajjala

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NAACL 2027 Student Research Workshop: Call for Papers and Mentors
by ACL Announcements 19 Sep '26

19 Sep '26

Call for Papers & Mentors NAACL 2027 Student Research Workshop San Francisco, California, USA Pre-submission mentorship deadline: November 16, 2026 Direct paper submission deadline: January 11, 2027 Workshop website: https://naacl27-srw.github.io/ Overview The Student Research Workshop invites student researchers in computational linguistics and natural language processing to present their work and receive feedback from the conference community and mentors matched to their research topics. Submission Categories - Thesis proposals: for PhD students seeking feedback on their thesis direction, research plan, and framing. - Research papers: completed work or work in progress with preliminary results. The first author must be a current student or have completed the work while a student. Submission Information Papers should be submitted through OpenReview. Long papers may contain up to 8 content pages and short papers up to 4, with additional pages permitted for references and supplementary material. Authors may choose archival or non-archival submission. Archival papers will appear in the NAACL 2027 SRW Proceedings. A non-archival submission cannot be changed to archival after acceptance. Consult the workshop website and author guidelines for complete submission instructions and policies. Call for Mentors We also invite volunteers to mentor student researchers. To express interest, please complete: https://forms.gle/5P2Mz69UwriMKkLJ6 Contact naacl27-srw(a)googlegroups.com Student Chairs Dayeon (Zoey) Ki, University of Maryland, College Park Cheng Qian, University of Illinois Urbana-Champaign Belu Ticona, George Mason University

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EACL / NAACL / COLING 2027: Joint Call for Tutorial Proposals (Deadline: October 2, 2026)
by ACL Announcements 19 Sep '26

19 Sep '26

Joint Call for Tutorial Proposals EACL / NAACL / COLING 2027 Proposal deadline: October 2, 2026, 11:59 p.m. UTC-12 (Anywhere on Earth) Full call: https://2027.naacl.org/calls/tutorials/ EACL: March 9-14, 2027 | Athens, Greece COLING: May 9-14, 2027 | Macau, China NAACL: June 1-5, 2027 | San Francisco, USA Overview EACL, NAACL, and COLING jointly invite tutorial proposals across computational linguistics, natural language processing, and related disciplines. We welcome three categories: - Cutting-edge tutorials on emerging CL/NLP research. - Introductory tutorials connecting related disciplines to CL/NLP. - Community tutorials addressing topics such as reviewing, scientific practice, mental health, or career planning. Submission Requirements Submit a PDF in ACL format: at most 4 content pages, plus one page for presenter biographies and unlimited references. Proposals should address audience, prerequisites, content, teaching plan, diversity, and ethics; consult the full call for the complete checklist. Important Dates - Proposal deadline: October 2, 2026 - Acceptance notification: November 25, 2026 - Tutorial materials: one month before the tutorial All deadlines are 11:59 p.m. UTC-12 (Anywhere on Earth). Submission https://softconf.com/p/eacl-tutorials2027 NAACL Tutorial Contact naacl27tutorialchairs(a)googlegroups.com

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CfP_Publish with Miscelanea_English language and linguistics
by Miguel-Angel Benitez-Castro 18 Sep '26

18 Sep '26

Dear colleagues, I am writing to encourage you to consider _Miscelanea: A Journal of English and American Studies_ [1] as a potential outlet for your research. Published by the Department of English Studies at the University of Zaragoza (Spain), _Miscelanea_ is an international, peer-reviewed, open-access journal with a solid and long-standing trajectory and reputation in the field of English Studies. _Miscelánea_ is indexed in a wide range of international databases and scholarly information systems, including Scopus, MLA International Bibliography, Linguistics & Language Behavior Abstracts, DOAJ, Diamond Discovery Hub, ERIH PLUS and SCImago Journal & Country Rank (SJR), among others. The journal is published twice a year, in December and June. We have recently published Issue 73 [2], with Issue 74 due to appear in December 2026. We are thus currently welcoming submissions for our two 2027 issues (75 and 76). As Section Editor for English Language and Linguistics, I would be delighted to receive submissions covering any area of English linguistics and applied linguistics, particularly methodologically solid and rigorous studies in areas including, but by no means limited to: * descriptive and theoretical linguistics; * applied linguistics and language teaching; * discourse analysis, Critical Discourse Studies and Corpus-Assisted Discourse Studies; * corpus linguistics; * sociolinguistics and pragmatics; * Systemic Functional Linguistics; * multimodal discourse analysis; * translation studies; * academic and professional discourse; * digital discourse and emerging approaches to language and AI. The journal welcomes submissions throughout the year, so manuscripts may be submitted at any time through our online platform: Submit your manuscript to Miscelánea [3] I very much hope that you will consider _Miscelanea_ for your current or future work. I would also be most grateful if you could help circulate this message among colleagues who might be interested. With all my best wishes, -- Dr. Miguel-Angel Benitez-Castro Departamento de Filología Inglesa y Alemana Facultad de Ciencias Sociales y Humanas, Universidad de Zaragoza (Spain) C/ Atarazanas, 4, 44003, Teruel https://orcid.org/0000-0001-8514-5943 https://www.researchgate.net/profile/Miguel-Angel-Benitez-Castro https://scholar.google.com/citations?user=wx8VaDcAAAAJ&hl=es [4] Member of: _IUI Biocomputation and Physics of Complex Systems (BIFI) [5]_ Universidad de Zaragoza Language and Linguistics Editor _- Miscelánea: A Journal of English and American Studies [6]_ Links: ------ [1] https://papiro.unizar.es/ojs/index.php/misc/en [2] https://papiro.unizar.es/ojs/index.php/misc/en/issue/view/736 [3] https://papiro.unizar.es/ojs/index.php/misc/en/about/submissions?utm_source… [4] https://scholar.google.com/citations?user=wx8VaDcAAAAJ&hl=es [5] https://bifi.es/ [6] https://papiro.unizar.es/ojs/index.php/misc/index

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Corpora September 2026