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Call for Papers (Deadline Extended): End-to-End Research Workflow, Methods, and Applications for AI-Assisted Science (AIASci 2026)
by wei.zhao＠abdn.ac.uk 14 Sep '26

14 Sep '26

*AIASci 2026: End-to-End Research Workflow, Methods, and Applications for AI-Assisted Science* Deadline extended: September 18, 2026 Direct submission: https://openreview.net/group?id=aiasplus.org/AIAS/2026/Workshop/AIASci Full-day workshop co-located with AIAS 2026 - November 7, 2026 in San Francisco, USA *Aim and Scope* Large (vision-) language models are transforming the practice of science — from literature search and hypothesis generation to automated experimentation, manuscript drafting, multimodal content creation, and peer review. The central question is no longer whether AI can assist with these tasks, but how such systems can support the end-to-end research workflow: sustaining long-horizon scientific reasoning, grounding their claims in causal and mechanistic understanding, adapting through interaction with real experimental environments, and serving as trustworthy partners across scientific disciplines. AIASci brings together researchers building systems that move beyond passive analysis toward sustained reasoning, causal understanding, adaptive learning, and iterative participation in scientific discovery. Mirroring the workshop's title, the program is structured along three intersecting pillars that submissions may combine freely. Scientific responsibility (ethics, reliability, and human oversight), runs as a unifying theme throughout, featured in invited talks, contributed papers, poster sessions, and a dedicated panel discussion. Website: https://aiasciworkshop.github.io/ *Topics of Interest* We welcome submissions on any aspect of human–AI collaboration for science, the capabilities that enable it, and the evaluation of AI-assisted scientific outputs. Topics include, but are not limited to: (1) Stages of the AI-Assisted Research Workflow - Literature search, synthesis, comparison, and recommendation - Hypothesis generation, research ideation, and idea refinement - Automated experimentation, AI agents, and AI-driven discovery - Text-based scientific content generation - Multimodal scientific content generation and understanding - AI-assisted peer review, claim verification, and meta-review generation (2) Methodological Capabilities - Long-context and sustained scientific reasoning - Causal inference and mechanistic understanding - Adaptive systems that learn through experimentation, feedback, and reflection - Verification, reliability, and reproducibility of scientific AI outputs - Human-in-the-loop and human–AI collaboration designs - Multimodal models, self-improvement, and memory for scientific AI systems - Evaluation of AI-assisted research workflows and their outputs (3) Scientific Domains and Applications - AI scientists for physics, mathematics, chemistry, materials science, biology, medicine, and related disciplines - AI for the social sciences and humanities - Cross-disciplinary case studies - AI-assisted reproductions of real scientific findings *Paper Submission* - Long papers: up to 8 pages of content, plus unlimited references - Short papers: up to 4 pages of content, plus unlimited references *Submission Modes* - Direct submissions: Receive up to three reviews and a final acceptance decision. - ARR commitments: Unpublished papers already reviewed through ACL Rolling Review may be committed to the workshop. - Non-archival and previously published papers *Submission Links* - Direct submissions: https://openreview.net/group?id=aiasplus.org/AIAS/2026/Workshop/AIASci - ARR commitments: https://openreview.net/group?id=aiasplus.org/AIAS/2026/Workshop/AIASci_ARR_… - Workshop website: https://aiasciworkshop.github.io/ *Important Dates* - Direct submission deadline (extended): September 18, 2026 - ARR commitment deadline: October 9, 2026 - Notification of acceptance: October 16, 2026 - Camera-ready papers due: October 26, 2026 - Previously published papers deadline: October 26, 2026 - AIASci 2026 workshop: November 7, 2026 *Organizing Committee* - Yong Cao, University of Tübingen - Steffen Eger, University of Technology Nuremberg - Anne Lauscher, University of Hamburg - Yufang Hou, IT:U Austria and IBM Research - Wei Zhao, University of Aberdeen Contact: yong.cao(a)uni-tuebingen.de

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ARR Job Advertisement: Workflow Manager
by ACL Announcements 14 Sep '26

14 Sep '26

ARR JOB ADVERTISEMENT: WORKFLOW MANAGER The Association for Computational Linguistics Rolling Review (ARR) seeks an additional workflow manager to support the regular operations of ARR's reviewing cycles, which take place every two months. This position sits at the heart of the peer-review infrastructure used by major ACL conferences, processing thousands of submissions and coordinating several thousand reviewers, area chairs, and senior area chairs every two months. The goal of this role is to support and extend ARR's use of OpenReview and its related internal tools. POSITION SUMMARY The workflow manager will: * Lead the implementation of the data manipulation on top of OpenReview required for the ARR peer-review process, including submission intake, reciprocal reviewing, reviewer, area-chair, and senior-area-chair assignments, availability and load tracking, withdrawal and desk-rejection handling, resubmission detection, bulk communication, and related workflows. * Maintain and extend ARR's internal Python tooling for bulk data reads and mutations. * Collaborate with the ARR team, including the Editors-in-Chief, CTOs, current workflow manager, and technical support team, to identify, design, and implement software solutions that streamline the ARR review process. * Work closely with the ARR team and conference program chairs to provide a smooth transition between the reviewing and commitment stages. * Collaborate with the ARR team and support the implementation of data-driven approaches to improve the ARR review process. * Support the creation of reports and statistics about the review process for the ARR team and conference program chairs throughout each cycle. * Provide troubleshooting and technical support regarding the OpenReview infrastructure to the ARR team, often on short turnaround while a cycle is active. REQUIRED SKILLS AND KNOWLEDGE Candidates are required to have: * Solid software-engineering training or equivalent practical experience. * Experience integrating solutions into legacy software and building on third-party platforms. * Solid programming skills in Python, particularly for data handling with pandas, CSV, and JSON and for writing command-line tools that use REST APIs. * Working knowledge of JavaScript and HTML for OpenReview process functions and interface customization. * Strong organizational and time-management skills and the ability to work according to a fixed cycle calendar with hard deadlines. * Demonstrated attention to detail, since errors may be visible to the entire ACL community and can be difficult to reverse. * Strong and responsive communication skills. * Knowledge of and experience with software version-control systems. The work is performed remotely. Interaction with the ARR team and conference program chairs will take place through online meetings and asynchronous communication. ADDITIONAL INFORMATION The workflow manager works under the direct supervision of the ARR Editors-in-Chief and collaborates closely with the ARR CTOs, current workflow manager, technical support team, and conference program chairs. The desired start date is October 1, 2026. The workload varies throughout the reviewing cycles but averages approximately 20 hours per week. Because ARR follows a fixed cycle calendar, some periods have hard deadlines and require prompt communication. The annual compensation range is USD 30,000-40,000. Candidates must be legally authorized to work in the country from which they will perform the role. HOW TO APPLY To apply, submit: * A cover letter that includes your country of residence, current time zone, and typical working hours in that time zone. * A CV or résumé. * Names and contact information for three professional references. Applicants from all time zones are welcome. Availability that complements the current team's working hours is a plus but is not required. Applications will be reviewed on a rolling basis until the position is filled. Send application materials and questions to workflow-manager-search(a)aclrollingreview.org.

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Reading with NARNiHS (historical sociolinguistics reading group) -- Session #5 -- still time to register!
by Lauersdorf, Mark R. 13 Sep '26

13 Sep '26

==> One more week to register! <== *** Reading with NARNiHS *** [reading group of the North American Research Network in Historical Sociolinguistics] ==> https://narnihs.org/?page_id=3288 Join our online reading group to discuss hot-off-the-press publications in historical sociolinguistics with the authors! The fifth session of "Reading with NARNiHS" is taking place on Thursday, 24 September 2026, at 11:00 am US Eastern time / 5:00 pm European Central time and features Sandrine Tailleur with her recent historical morpho-syntactic work emphasizing the use of multiple types of data, including rich corpus data, to get a fuller picture in the investigation of the complex course of language change. Reading with NARNiHS is a vibrant venue for engagement with cutting-edge work in historical sociolinguistics, accessible to researchers at all levels. Reading with NARNiHS combines aspects of "meet the author" + "author interview" + "authors read their works" + "classic reading group discussion" as we interact together with new scholarship and its authors. Anna Havinga will be our moderator, and there will be plenty of time for your questions. So, please come along for an enriching one-hour exchange about the most current topics in historical sociolinguistics! To receive the Zoom link and the article we're going to discuss on 24 September, please sign up via the following form by Monday, 21 September 2026 (it takes less than a minute): https://docs.google.com/forms/d/e/1FAIpQLSeKs-ZDztlFQloZ1AUX8kSyb8dXlhJziCB… We are looking forward to seeing many of you on Thursday, 24 September 2026, for Reading with NARNiHS! The NARNiHS Steering Group

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free Corpus MOOC - running right now
by Brezina, Vaclav 13 Sep '26

13 Sep '26

Dear all, There is still time to register for the 8-week online course on corpus linguistics and emerging technologies. Simply select the 'Audit option' to join for free. The course has just begun, and it offers both theoretical and practical perspectives on analysing large amounts of language data. You will learn how to build and analyse your own corpus using the specialised software #LancsBox, and you will explore practical applications of corpus methods in areas such as social issues, language learning and language testing. You can also ask any questions about corpus linguistics research, and a team of dedicated tutors will be on hand to support you throughout the course. The best part is that there's no obligation-you can engage with as much or as little of the course as you wish. For registration go to: https://www.edx.org/learn/social-sciences/lancaster-university-corpus-lingu… Best regards, Vaclav Professor Vaclav Brezina Co-Director of the ESRC Centre for Corpus Approaches to Social Science Faculty of Humanities, Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 @vaclavbrezina [cid:image002.png@01DC27B2.DE8CE5B0]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING (RANLP-2027): FIRST ANNOUNCEMENT
by Petya Osenova 13 Sep '26

13 Sep '26

RANLP-27 16th Conference RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING Varna, Bulgaria https://ranlp.org/2027/ Summer school ‘Deep Learning and Large Language Models for NLP’: 1-3 September 2027 (Wednesday-Friday) Tutorials: 4-5 September 2027 (Saturday-Sunday) Main Conference and Student Research Workshop: 6-8 September 2027 (Monday-Wednesday) Workshops and Shared Tasks: 9-10 September 2027 (Thursday-Friday) RANLP (Recent Advances in Natural Language Processing) is one of the most competitive NLP conferences. The event is held biennially and grew out of the International summer schools ‘Contemporary topics in Computational Linguistics’ which were organised for many years as international training events. Previous RANLP conferences (1995-2025) featured keynote talks by leading experts in NLP as well as presentations/papers of high quality, rigorously reviewed by a Programme Committee of well-known scientists. The Student Research Workshops (now in their 10th edition) have become active discussion forums for young researchers. After 2009, the papers accepted at the RANLP conferences and the associated workshops аre included in the ACL Anthology. The RANLP proceedings is indexed by SCOPUS and DBLP. After 2017, all accepted papers have DOI numbers. The conference will be preceded by a summer school ‘Deep learning ad Large Language Models for NLP’, tutorials on current hot topics and will be followed by specialised workshops and shared tasks in advanced subfields of NLP. Confirmed keynote speakers: Barbara Plank (LMU Munich), Roberto Navigli (Sapienza University Roma), Preslav Nakov (MBZUAI Abu Dhabi), Kristina Toutanova (Google, Seattle), Tharindu Ranasinghe (Lancaster University), Salima Lamsiyah (University of Luxembourg) Expected conference submission deadline(s): TBC soon Call for workshop and shared tasks proposals: November 2026 Venue: RANLP-27 will be held in Varna, the largest city on the Bulgarian Black Sea Coast, in Hotel ‘Cherno Mor<http://www.chernomorebg.com/>e’. The event venue is centrally located at the entrance of the Sea Garden and offers excellent conference facilities. Varna is a major tourist destination with numerous flights to/from the Varna International Airport. Team behind RANLP 2027: * Galia Angelova, Bulgarian Academy of Sciences, Bulgaria (OC Chair) * Ruslan Mitkov, University of Lancaster, UK and University of Alicante, Spain (PC Chair) * Tharindu Ranasinghe, Lancaster University, UK (Workshops and Shared tasks Co-Chair, Summer School Co-Director) * Salima Lamsiyah, University of Luxembourg, Luxembourg (Summer School Co-Director) * Saad Ezzini, King Fahd University of Petroleum & Minerals, Saudi Arabia (Sponsorship Chair and Shared tasks Co-Chair) * Marie Escribe, Hong Kong Baptist University, Hong Kong (Publication Co-Chair and OC Team Co-Leader) * Ernesto Estevanell, University of Alicante, Spain (Publication Co-Chair) * Xiaojing Zhao, The Hong Kong Polytechnic University, Hong Kong (OC Team Co-Leader) * Nikolai Nikolov, Bulgarian Association for Computational Linguistics, Bulgaria * Preslav Nakov, MBZUAI, Abu Dhabi, UAE * Ivelina Nikolova, Bulgarian Academy of Sciences, Bulgaria * Kiril Simov, Bulgarian Academy of Sciences, Bulgaria (Workshops Co-Chair)

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ACL Sustainable Reviewing Policy
by ACL Announcements 11 Sep '26

11 Sep '26

ACL Sustainable Reviewing Policy In light of challenges with unsustainable rate of submissions at EMNLP'26, ACL Peer Review Standing Committee has developed a proposal for a sustainable reviewing policy. It has now been approved by ACL exec team, and it will apply for submissions to ACL Rolling Review (ARR) starting from October 2026. TLDR: ARR faces a reviewing crisis: submissions are growing far faster than reviewer capacity. 38% of the ~17K May 2026 submissions came from authors with no available publication record, and there are cases of outright spam, for which we so far had no established protocols. **The proposal:** cap reviewed submissions to available reviewer capacity. Each submission must "pay" for itself by providing a qualified service contributor (reviewer or chair). Submissions without service capacity go into a lottery for whatever spare capacity remains. Service from qualified contributors counts towards the venue capacity, and a mentorship system will be built up for those not qualified yet. If a qualified service contributor is not available among the authors, non-author designated contributors can be nominated, but must vouch for the work (arXiv-endorsement style). Measures for system abuse will be implemented. For example, accounts that systematically submit or endorse low-quality work, and accounts that misuse the system in other ways, will be penalized or even banned. Additionally, per-author quotas are introduced, where authors are capped at 20 total submissions and 5 first-author (including shared first-author) submissions per cycle. **Offsetting measures:** to keep things as inclusive as possible, reviewer qualification criteria are being broadened (already implemented in Aug 2026), with further proposals for a manual application path for those with equivalent experience, a mentor-matching program for newcomers, and a certification path to let experienced secondary reviewers become fully qualified. Please see the proposal for more details: <LINK HERE> The new reviewer qualifications, capping of reviewing to available capacity, AND requirements for all authors to have completed OpenReview profiles including ORCiD come into effect immediately, and will apply to submissions to NAACL and COLING 2026 (ARR submission deadline - October 12). We advise the following steps for those who are planning to make a submission for NAACL/COLING: 1) **Make sure that ALL co-authors have OpenReview profiles including ORCiD - and, if available, DBLP/ACL Anthology links**. It was previously possible for some co-authors to only be registered by email, but this will no longer be possible. Since it may take a while to coordinate with all authors, we recommend everyone to do this as soon as possible. The OpenReview profiles can be registered and updated before the official submission form opens. 2) Check the new reviewer qualifications, and decide who will serve as the designated service contributor. Further make sure that this person has a full OpenReview profile with all publications, is qualified to review, and will not be named on more than two submissions. Any submissions with over-committed service contributors will be subset to max capacity randomly. The submissions that do not provide service capacity will enter a lottery, and may be assigned to reviewers or desk rejected based on available capacity. 3) The designated service contributor will need to vouch that the submission is at the expected quality level: ready for consideration for acceptance at a top-tier conference. 4) Those who are not yet qualified in terms of past publications, but have a stellar record of reviewing or secondary reviewing at ARR, will be able apply for manual verification. Early applications are highly encouraged, close-to-deadline requests for manual verification may not get processed on time. 5) Check the new service obligations: if a designated service contributor has any emergencies, the responsibility to notify about that and to provide a suitable and willing replacement is now on them. Otherwise any submissions they are serving for, and any they co-author, will be desk rejected. 6) Make sure that you are not planning more than 20 submissions, and not more than 5 as a first or joing-first author. The updated reviewer qualifications are as follows: - Those who have obtained their PhDs and/or have senior academic positions (postdoc/faculty), automatically qualify if they have at least 2 publications in major ACL events, Findings of the ACL, or major ML venues. - Doctoral students (but not bachelor and master students), as well as industry researchers with at least a Masters degree, automatically qualify if they have at least 2 publications in major ACL events or Findings or major ML venues and a total of >= 3 publications in total. - Those who do not automatically qualify by these criteria can serve as secondary reviewers, mentored by a qualified primary reviewer (see (4) below), but cannot be designated service contributors by themselves. Venues considered 'major ACL' are: ACL, CL, COLING, CoNLL, EACL, EMNLP, HLT, IJCNLP / AACL, LREC, NAACL, TACL, *SEM. Venues considered 'major ML' are: AAAI, COLM, CVPR, ECCV, FAccT, ICCV, ICLR, ICML, IJCAI, JAIR, JMLR, NeurIPS, TMLR, TPAMI. Venues considered major may be expanded over time and additional qualification criteria may be added over time as appropriate. The ARR submission form opens two weeks in advance (available from September 28 for October'26 review cycle). ARR team is currently working on an automated tool to check reviewer qualifications and streamline applications for manual verification. This tool will be announced separately as soon as possible, and linked from the submission form. ACL Peer Review Standing Committee https://www.aclweb.org/portal/content/acl-peer-review-standing-committee

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PhD position in Linguistic Annotation with LLMs at the University of Tartu, Estonia
by Kristiina Vaik 10 Sep '26

10 Sep '26

Dear colleagues, The Center for Digital Text Scholarship (DigiTS) <https://digits.ut.ee/> at the University of Tartu is looking for a full-time doctoral researcher to work on linguistic annotation with large language models. * Research topic: Linguistic Annotation with LLMs * Supervisor: Prof. Maciej Eder (University of Tartu; Polish Academy of Sciences) * Position: Junior Research Fellow (full-time) * Duration: Four years, starting in autumn 2026 * Application period: 15-30 September 2026 * Requirements: A master’s degree or equivalent qualification and proficiency in English The project will use a series of experiments to investigate how effectively different types of LLMs can perform linguistic annotation tasks, evaluated against human-annotated gold-standard datasets, particularly in scenarios for which the models were not optimized. Further information and application details: https://digits.ut.ee/join-the-team/ Please feel free to share this announcement with interested candidates. All the best, Kristiina Vaik Research fellow in Digital Humanities University of Tartu, Estonia

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Third call for papers for NLP4CALL 2026
by Arianna Masciolini 10 Sep '26

10 Sep '26

Third 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 24, 2026 - 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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SemEval-2027 Task 5 CfP: Noun Compound and Particle Verb Compositionality Prediction in Context (ComPartMent)
by Prof. Dr. Sabine Schulte im Walde 10 Sep '26

10 Sep '26

We are pleased to announce the SemEval-2027 Task on *Noun Compound and Particle Verb Compositionality Prediction in Context* (ComPartMent). We introduce a shared task on in-context compositionality prediction: given a target multiword expression (a noun compound such as glass ceiling or a particle verb such as take off) and a sentence in which that expression is used, systems are expected to output numerical scores reflecting human ordinal compositionality ratings for the target expression in that context. Our task addresses the compositionality prediction problem from several novel angles. We incorporate two types of multiword expressions (noun compounds and particle verbs) in two languages (English and German). For each of the 1,539 target expressions, we draw on two types of corpora (present-day and historical data) to provide ≈10 example sentences, each labeled with human ordinal compositionality ratings. *Example ratings * (Scale: 0/clearly non-compositional - 5/clearly compositional) *Noun compound examples (compound-modifier / compound-head ratings) *she propelled herself into the firing line in taking the stance she did (0.6 / 0.7) our flea market will feature some of the most creative individuals (0.0 / 4.7) *Particle verb examples (overall rating)* it’s gonna get very cold so pull up your leggings (4.8) I will probably wind up as a Web Haunter […] blogging for eternity (0.2) How to participate *Task website*: https://sites.google.com/view/semeval-compartment *Task data, registration, and submissions*: CodaBench <https://www.codabench.org/competitions/17971/> Important dates September 5, 2026: Trial data release September 8, 2026: Training data release January 10, 2027: Evaluation start January 31, 2027: Evaluation end Organizers Filip Miletić, Chris Jenkins, Sabine Schulte im Walde Institute for Natural Language Processing (IMS), University of Stuttgart Contact: semeval-compartment (at) ims (dot) uni-stuttgart (dot) de -- Prof. Dr. Sabine Schulte im Walde Institut für Maschinelle Sprachverarbeitung Universität Stuttgart Pfaffenwaldring 5b 70569 Stuttgart, Germany fon: +49 (711) 685-84584 email:schulte@ims.uni-stuttgart.de

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Open PhD position at Helsinki-NLP
by Mickus, Timothee 10 Sep '26

10 Sep '26

Dear all, [Apologies for cross-posting] The Language Technology research unit at the University of Helsinki ("Helsinki-NLP") seeks to recruit one fully funded NLP PhD student for a duration of 3 years, with extension by up to 1 extra year. The PhD will focus on the role of pretraining data on cross-lingual transfer for factual tasks — whether data available in one language can be leveraged by multilingual LLMs to produce factually correct text in another language, and conversely, whether failure to do so can be leveraged to identify and characterize pre-training data gaps. The PhD will be conducted under the supervision of Jörg Tiedemann and Timothee Mickus; the position is expected to start on January 1st, although adjustments may be possible. The position will be held within the Helsinki-NLP team (https://blogs.helsinki.fi/language-technology/), focusing on the FLaM project (https://helsinki-nlp.github.io/flam/). We invite applications from students currently holding a masters in computational linguistics, NLP, machine learning, or any adjacent field and not have been enrolled previously in another PhD programme. Applicants are to send an email to timothee.mickus(a)helsinki.fi and jorg.tiedemann(a)helsinki.fi with the following subject line: “[crosslingual fact transfer, PhD application]”, and must provide the following: - A curriculum vitae detailing their education (max 1 page) - The name and email of one reference (ideally a former supervisor, e.g. for a masters’ thesis) - A research statement (max 500 words), describing how the applicant’s interest aligns with the topic outlined above and what they expect to achieve through the PhD - Transcript with grades received Full consideration will be given to applications received before September 30th; the position will remain open until filled. Shortlisted applicants will be contacted directly for an interview. We emphasize matching research interests during the assessment of applications, and will not factor in quantitative indicators (such as number of publications, etc.), in line with DORA practices. Please forward this call to anyone who might be interested! Best regards, Timothee Mickus Research Fellow University of Helsinki

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2026

2025

2024

2023

2022