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Fully Funded PhD position in NLP/AI/Social NLP
by Somnath Banerjee 15 Oct '25

15 Oct '25

Dear all, Please feel free to share this with your contacts. I am seeking motivated students for a fully funded 4-year PhD in Social NLP. Social NLP is an emerging interdisciplinary field that combines natural language processing (NLP) and social computing. The scope of doctoral thesis proposals (but is not restricted to) is based on the following topics: - Information Disorder on Social Media (Fake news, Cyberbullying, Hate Speech, misinformation, etc.) - Disaster Management Using Social Media - Explainable AI in Social NLP Why the University of Tartu<https://ut.ee/en>? - The University of Tartu is one of the oldest universities (founded in 1632) in Northern and Eastern Europe. The University of Tartu is known for its high-quality studies and research. The unique intellectual atmosphere and fine living and working environment that characterise Tartu have attracted prominent scientists and experts for almost 390 years. - As of 2025, the University of Tartu belongs to the top 1% of the world's universities. - The University of Tartu is the strongest research university in Estonia. We belong to various networks of renowned research universities, such as ENLIGHT, the Coimbra Group, LERU, etc. - Here, 13 000 students and 3000 staff members study and work in a diverse range of fields connected by the power of curiosity. - Estonia is famous for its digital society and has the highest number of startups per capita in Europe. Estonia is famous for its digital innovations, and it is home to many startups like Skype, Transferwise, and Bolt to name a few. Scholarship: - Scholarship approximately 2300 Euro/month gross amount. - Covers health insurance - Additional benefits: Travel grant for attending conferences and workshops, etc. If you are interested, please drop me an email (somnath.banerjee(a)ut.ee) with the following: - CV which must include: - final year undergraduate/graduate project (brief description: max 150 words) - pursued relevant subjects at undergraduate and/or Master level (if any) - relevant work experience (if any) - publications (if any) - The name and email contacts of academic referees(optional) Please Note: * Master-level students, who are in their final semester, can also apply. * Applications will be considered until the position is filled. However, you are encouraged to apply early as the processing of the applications will start soon after receiving them. * Do not send academic certificates, motivation letters, letters of recommendation, etc. * Upon initial selection based on CVs, additional documents (such as motivation letters, certificates) will be requested for further processing. For queries: If you need more information, please contact me with the subject line "SocialNLP: PhD position queries". Kind regards, Somnath Banerjee Assistant Professor, Chair of NLP, Institute of Computer Science, University of Tartu, 51009 Tartu, ESTONIA

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CfP SIGHUM (LaTeCH-CLfL) 2026 Workshop at EACL 2026
by Stefania Degaetano-Ortlieb 15 Oct '25

15 Oct '25

SIGHUM (LaTeCH-CLfL) 2026 The 10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature to be held at EACL in March 2026 in Rabat, Morocco as a two-day workshop with one on-site and one online day First Call for Papers (with apologies for cross-posting) Organizers: Diego Alves, Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Janis Pagel, Stan Szpakowicz SIGHUM (LaTeCH-CLfL) 2026 is the tenth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual events which also host the SIGHUM business meetings. Workshop site https://sighum.wordpress.com/events/sighum-latech-clfl-2026/ Important dates Submission deadline: January 5th, 2026 Notification of acceptance: February 3rd, 2026 Camera-ready paper due: February 10th, 2026 Description The community of the broadly understood Digital Humanities (DH) has witnessed remarkable growth and transformation, fueled by the rapid advancements in NLP. There is a steady interest in, and a high demand for, NLP methods of semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of primary and secondary data. Even so, the heterogeneous landscape of the DH with their diverse, often multi-lingual or multi-modal sources can be a challenge for NLP. Consider, for example, the growing interest in historical language data and in under-resourced languages. There are unique obstacles in developing comprehensive language models in aid of the linguistic diversity in DH. The handling of noisy and non-standard data, and the need for domain adaptation and intensive annotation, continue to be at the forefront of research effort in the community. The literary studies, which have witnessed substantial progress in the application of NLP methods, bring their own similar problems. Navigating forms of creative expression requires more than the typical information-seeking tools. A case in point might be the study of literature of a certain period, author or sub-genre, the recognition of certain literary devices, or the quantitative analysis of poetry. The emergence of Large Language Models (LLMs) expands the DH toolkit. There is support for automatic text cleaning and annotation, creation of semantic resources, analysis of narrative, genre and literary style, and linking information across sources. LLMs can support historical or low-resource languages, particularly when complemented with domain-specific fine-tuning and careful evaluation. One must note, however, that even with careful adaptation, curation and attention to interpretability, LLM outputs remain prone to errors, biases and lack of transparency; that requires rigorous assessment to ensure their suitability for scholarly research. There is growing emphasis on the importance of explanation in NLP models. That applied equally to DH, whose various domains enjoy the effect of NLP. Transparency and clarity of the results are critical if one is to accept the processed data, and gain valuable insights. That is why one must carefully consider a balance between raw performance scores and interpretability, in keeping with the specific research objectives. For many years now, this broad research context has drawn together NLP experts, data specialists and researchers in Digital Humanities who work in and across their domains. Our long-standing series of workshops has shown that cross-disciplinary exchange supports work in the Humanities, Social Sciences and Cultural Heritage communities. It encourages the Computational Linguistics community to build rich, effective tools and, above all, interpretable models. Topics Our workshops attract original work on a wide variety of topics, including – but as usual not restricted to – these: adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature; automatic error detection and cleaning of textual data; complex annotation schemas, tools and interfaces; creation (fully- or semi-automatic) of semantic resources; creation and analysis of social networks of literary characters; discourse and narrative analysis/modelling, notably in literature; emotion analysis for the humanities and for literature; generation of literary narrative, dialogue or poetry; identification and analysis of literary genres; information/knowledge modelling in the Humanities, Social Sciences and Cultural Heritage; interpretability of large language models output for DH-related tasks (explainable AI); linking and retrieving information from different sources, media, and domains; low-resource and historical language processing; modelling dialogue literary style for generation; profiling and authorship attribution; search for scientific and/or scholarly literature; work with linguistic variation and non-standard or historical use of language Information for authors We invite papers on original, unpublished work in the topic areas of the workshop. We will consider long papers, short papers and system descriptions (demos). We also welcome position papers. Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages), so that reviewers’ comments can be taken into account. A short paper / demo presenting work in progress or the description of a system may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings. A position paper — clearly marked as such — should not exceed eight (8) pages including references. All submissions are to follow the *ACL paper styles (for LaTeX / Overleaf and MS Word) available at https://github.com/acl-org/acl-style-files <https://github.com/acl-org/acl-style-files>. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL 2026 submission website on the SoftConf pages (we will publish the link as soon as we have it). Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Please keep references to your own work at a reasonable minimum, and do not use anonymous citations. In accordance with the EACL 2026 policy on multiple submission, we will not consider any paper that is under review in a journal or another conference at the time of submission. During the review period, papers submitted to our workshop cannot also be submitted elsewhere. Stefania Degaetano-Ortlieb Associate Professor Universität des Saarlandes Language Science and Technology Campus A2.2, 1.06 66123 Saarbrücken Tel.: ++49 681 302 70077 E-Mail: s.degaetano(a)mx.uni-saarland.de www.stefaniadegaetano.com

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LREC 2026: Deadline Extended to October 24, 2025 - Main conference papers, Workshop & Tutorial Proposals
by info＠elda.org 15 Oct '25

15 Oct '25

[Apologies for multiple postings] The submission deadline for LREC 2026 Main conference papers, and workshop and tutorial proposals is extended to October 24, 2025. All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”). Submission pages on START * https://softconf.com/lrec2026/main * https://softconf.com/lrec2026/tutorials/ * https://softconf.com/lrec2026/workshops/ All information, including Calls for papers/proposals, can be found on the Conference Website: https://lrec2026.info/ General contact: info(a)lrec2026.info

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Joint Call for Tutorial Proposals (EACL/ACL) 2026
by ACL Announcements 15 Oct '25

15 Oct '25

This is a reminder that the deadline to submit tutorial proposals for EACL'26 & ACL'26 is coming soon: October 20, 2025! * Cutting-edge tutorials in CL/NLP: covering recent advances in emerging areas not previously addressed in tutorials at EACL, NAACL-HLT, ACL, or EMNLP * Introductory tutorials in related fields: offering overviews of disciplines potentially relevant to the CL/NLP community, such as linguistics, bioinformatics, machine learning, human-computer interaction, or applications of large language models in non-English languages. More information: https://aclweb.org/portal/content/joint-call-tutorial-proposals-eaclacl-2026 [1] Links: ------ [1] https://aclweb.org/portal/content/joint-call-tutorial-proposals-eaclacl-2026

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1st call Workshop on Multiword Expressions (MWE 2026)
by Verginica Barbu Mititelu 14 Oct '25

14 Oct '25

**1st CALL FOR PAPERS** 22nd Workshop on Multiword Expressions (MWE 2026) https://multiword.org/mwe2026/ Organized, sponsored, and endorsed by SIGLEX, the Special Interest Group on the Lexicon of the ACL, and by UniDive <https://unidive.lisn.upsaclay.fr> Cost Action CA21167 Half-day workshop collocated with the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026, https://2026.eacl.org/), Rabat, Morocco. Hybrid (on-site & on-line) ******************************************* Important Dates - Direct Submission deadline: December 19, 2025 - Pre-reviewed (ARR) submission deadline: January 2, 2026 - Notification of acceptance: January 23, 2026 - Camera-ready paper due: February 3, 2026 - Workshop dates: March 24-29, 2026 All deadlines are at 23:59 UTC-12 (Anywhere on Earth). ******************************************* Multiword expressions (MWEs), i.e., word combinations that exhibit lexical, syntactic, semantic, pragmatic, and/or statistical idiosyncrasies (Baldwin and Kim, 2010), such as “by and large”, “hot dog”, “make a decision” and “break one's leg” are still a pain in the neck for Natural Language Processing (NLP). The notion of MWE encompasses closely related phenomena: idioms, compounds, light-verb constructions, phrasal verbs, rhetorical figures, collocations, institutionalized phrases, etc. Given their irregular nature, MWEs often pose complex problems in linguistic modeling (e.g., annotation), NLP tasks (e.g., parsing), and end-user applications (e.g., natural language understanding and Machine Translation), hence still representing an open issue for computational linguistics (Miletić and Schulte im Walde, 2024; Ramisch et al., 2023; Phelps et al., 2024; Mahajan et al., 2024). For more than two decades, the topic of modeling and processing MWEs for NLP has been the focus of the MWE workshop, organized by the MWE section <https://multiword.org/> of ACL-SIGLEX <http://www.siglex.org/> in conjunction with major NLP conferences since 2003. Impressive progress has been made in the field, but our understanding of MWEs still requires much research, considering their need and usefulness in NLP applications. This is also relevant to domain-specific NLP pipelines that need to tackle terminologies most often realized as MWEs. Topics of interest include, but are not limited to: - Computationally-applicable theoretical work in psycholinguistics and corpus linguistics; - Annotation (expert, crowdsourcing, automatic) and representation in resources such as corpora, treebanks, e-lexicons, WordNets, constructions (also for low-resource languages); - Processing in syntactic and semantic frameworks (e.g. CCG, CxG, HPSG, LFG, TAG, UD, etc.); - Discovery and identification methods, including for specialized languages and domains such as clinical or biomedical NLP; - Interpretation of MWEs and understanding of text containing them; - Language acquisition, language learning, and non-standard language (e.g. tweets, speech); - Evaluation of annotation and processing techniques; - Retrospective comparative analyses from the PARSEME shared tasks; - Processing for end-user applications (e.g. MT, NLU, summarisation, language learning, etc.); - Implicit and explicit representation in pre-trained language models and end-user applications; - Evaluation and probing of pre-trained language models; - Resources and tools (e.g. lexicons, identifiers) and their integration into end-user applications; - Multiword terminology extraction; - Adaptation and transfer of annotations and related resources to new languages and domains including low-resource ones. Co-located Shared tasks The workshop MWE 2026 will host two shared tasks <https://unidive.lisn.upsaclay.fr/doku.php?id=other-events:parseme-admire-st…> : - PARSEME 2.0, whose objective is to identify and paraphrase MWEs in written text, and - AdMIRe 2 (Advancing Multimodal Idiomaticity Representation), which explores the comprehension ability of multimodal models for MWEs in a variety of languages. Submission formats The workshop invites two types of submissions: - archival submissions that present substantially original research in both long paper format (8 pages + references) and short paper format (4 pages + references). - non-archival submissions of abstracts describing relevant research presented/published elsewhere, which will not be included in the MWE proceedings. Paper submission and templates Papers should be submitted via the workshop's submission page <https://openreview.net/group?id=eacl.org/EACL/2026/Workshop> ( https://openreview.net/group?id=eacl.org/EACL/2026/Workshop). Please choose the appropriate submission format (archival/non-archival). Archival papers with existing reviews will also be accepted through the ACL Rolling Review. Submissions must follow the ACL stylesheet <https://github.com/acl-org/acl-style-files>. Authors are encouraged, wherever relevant, to adopt the conventions on citing, glossing and translating multilingual examples of MWEs <https://gitlab.com/parseme/pmwe/-/blob/master/Conventions-for-MWE-examples/…> promoted by the editors of the Phraseology and Multiword Expressions book series <https://langsci-press.org/catalog/series/pmwe> published by Language Science Press. Organizing Committee Verginica Barbu Mititelu, A. Seza Doğruöz, Alexandre Rademaker, Atul Kr. Ojha, Mathieu Constant, Ivelina Stoyanova Anti-harassment policy The workshop follows the ACL anti-harassment policy. Contact For any inquiries regarding the workshop, please send an email to the Organizing Committee at mwe2026workshop(a)gmail.com.

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NEJLT is looking for assistant editors
by Marcel Bollmann 14 Oct '25

14 Oct '25

NEJLT, the Northern European Journal of Language Technology<https://www.nejlt.org/>, is looking for one or more volunteers to act as assistant editor(s) for the journal. What is NEJLT? NEJLT is a gold open-access journal on language technology and computational linguistics research with a global focus. We explicitly welcome submissions from anywhere in the world and on any language; if a paper would be suitable for a *ACL conference, it is suitable for NEJLT. Papers published in NEJLT also appear on the ACL Anthology. The motivation for NEJLT<https://www.nejlt.org/about/> in its current form is, in a nutshell, to offer an additional publication venue outside the usual conference cycles with a journal-style review process and fast turnaround times. Who is NEJLT looking for? As an assistant editor for NEJLT, your task would be to help with: * finding and contacting suitable action editors when a new submission is made * identifying submissions that require attention from action editors and sending out reminders * checking camera-ready versions before publication * advertising newly published papers on social media Finding, contacting, and recruiting suitable volunteers, such as those who can take over a new submission as action editor, is currently the most time-consuming task and the journal’s biggest bottleneck. All of this is currently handled by me in my role as the elected NEALT editor-in-chief, but after 21 months of running the journal, it is clear to me that NEJLT will not work in its intended form without spreading the load across more people. Therefore, I am looking for motivated volunteers who like to improve the journal’s operations together with me. How active is NEJLT? Between January 1st and September 30th of 2025, NEJLT has handled 18 submissions. Out of these submissions: * 2 are currently still awaiting their first decision * 2 were desk-rejected (wrong template/out of scope) * 2 received a reject decision after reviews * 1 was withdrawn by the authors * 10 received a decision of major or minor edits * 1 was published The average time until a first decision (not counting desk rejections, withdrawn papers, or revisions) in this period was 78.5 days. However, the variance here is rather high: the quickest decision was taken after 39 days, while the longest took 190 days. This is mainly due to delays in assigning action editors and reviewers, and is also the reason I have not more actively advertised the journal in the past two years. I might be interested in volunteering, what do I do? If you are interested in volunteering for NEJLT, please don’t hesitate to send me an e-mail! I am happy to answer any questions you might have or arrange a Zoom call to discuss this further. Please share this information with anyone who might be interested! You can also share it via this post on our website: https://www.nejlt.org/post/asst-editor-wanted/ Best regards, Marcel Bollmann -- Marcel Bollmann, Dr. phil. Associate Professor in Natural Language Processing Department of Computer and Information Science, Linköping University, Sweden www: https://marcel.bollmann.me/

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The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): First Combo Call for Workshop Papers
by Announce 14 Oct '25

14 Oct '25

*** First Combo Call for Workshop Papers *** The Annual ACM Conference on Intelligent User Interfaces (IUI 2026) March 23-26, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://iui.hosting.acm.org/2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> The ACM Conference on Intelligent User Interfaces (ACM IUI) is the leading annual venue for researchers and practitioners to explore advancements at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). IUI 2026 attracted a record number of submissions for the main conference (561 full paper submissions after an initial submission of 697 abstracts). Although the submission deadline for the main conference is now over, we welcome the submission of papers to a number of workshops that will be held as part of IUI 2026. A list of these workshops, with a short description and the workshops' websites for further information, follows below. AgentCraft: Workshop on Agentic AI Systems Development (full-day workshop) Organizers: Karthik Dinakar (Pienso), Justin D. Weisz (IBM Research), Henry Lieberman (MIT CSAIL), Werner Geyer (IBM Research) URL: https://agentcraft-iui.github.io/2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> Ambitious efforts are underway to build AI agents powered by large language models across many domains. Despite emerging frameworks, key challenges remain: autonomy, reasoning, unpredictable behavior, and consequential actions. Developers struggle to comprehend and debug agent behaviors, as well as determine when human oversight is needed. Intelligent interfaces that enable meaningful oversight of agentic plans, decisions, and actions are needed to foster transparency, build trust, and manage complexity. We will explore interfaces for mixed-initiative collaboration during agent development and deployment, design patterns for debugging agent behaviors, strategies for determining developer control and oversight, and evaluation methods grounding agent performance in real-world impact. AI CHAOS! 1st Workshop on the Challenges for Human Oversight of AI Systems (full-day workshop) Organizers: Tim Schrills (University of Lübeck), Patricia Kahr (University of Zurich), Markus Langer (University of Freiburg), Harmanpreet Kaur (University of Minnesota), Ujwal Gadiraju (Delft University of Technology) URL: https://sites.google.com/view/aichaos/iui-2026?authuser=0<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> As AI permeates high-stakes domains—healthcare, autonomous driving, criminal justice —failures can endanger safety and rights. Human oversight is vital to mitigate harm, yet methods and concepts remain unclear despite regulatory mandates. Poorly designed oversight risks false safety and blurred accountability. This interdisciplinary workshop unites AI, HCI, psychology, and regulation research to close this gap. Central questions are: How can systems enable meaningful oversight? Which methods convey system states and risks? How can interventions scale? Through papers, talks, and interactive discussions, participants will map challenges, define stakeholder roles, survey tools, methods, and regulations, and set a collaborative research agenda. CURE 2026: Communicating Uncertainty to foster Realistic Expectations via Human- Centered Design (half-day workshop) Organizers: Jasmina Gajcin (IBM Research), Jovan Jeromela (Trinity College Dublin), Joel Wester (Aalborg University), Sarah Schömbs (University of Melbourne), Styliani Kleanthous (Open University of Cyprus), Karthikeyan Natesan Ramamurthy (IBM Research), Hanna Hauptmann (Utrecht University), Rifat Mehreen Amin (LMU Munich) URL: https://cureworkshop.github.io/cure-2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> Communicating system uncertainty is essential for achieving transparency and can help users calibrate their trust in, reliance on, and expectations from an AI system. However, uncertainty communication is plagued by challenges such as cognitive biases, numeracy skills, calibrating risk perception, and increased cognitive load, with research finding that lay users can struggle to interpret probabilities and uncertainty visualizations. HealthIUI 2026: Workshop on Intelligent and Interactive Health User Interfaces (half-day workshop) Organizers: Peter Brusilovsky (University of Pittsburgh), Behnam Rahdari (Stanford University), Shriti Raj (Stanford University), Helma Torkamaan (TU Delft) URL: https://healthiui.github.io/2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> As AI transforms health and care, integrating Intelligent User Interfaces (IUI) in wellness applications offers substantial opportunities and challenges. This workshop brings together experts from HCI, AI, healthcare, and related fields to explore how IUIs can enhance long-term engagement, personalization, and trust in health systems. Emphasis is on interdisciplinary approaches to create systems that are advanced, responsive to user needs, mindful of context, ethics, and privacy. Through presentations, discussions, and collaborative sessions, participants will address key challenges and propose solutions to drive health IUI innovation. MIRAGE: Misleading Impacts Resulting from AI-Generated Explanations (full-day workshop) Organizers: Simone Stumpf (University of Glasgow), Upol Ehsan (Northeastern University), Elizabeth M. Daly (IBM Research), Daniele Quercia (Nokia Bell Labs) URL: https://mirage-workshop.github.io<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> Explanations from AI systems can illuminate, yet they can misguide. MIRAGE at IUI tackles pitfalls and dark patterns in AI explanations. Evidence now shows that explanations may inflate unwarranted trust, warp mental models, and obscure power asymmetries—even when designers intend no harm. We classify XAI harms as Dark Patterns (intentional, e.g., trust-boosting placebos) and Explainability Pitfalls (unintended effects without manipulative intent). These harms include error propagation (model risks), over-reliance (interaction risks), and false security (systemic risks). We convene an interdisciplinary group to define, detect, and mitigate these risks. MIRAGE shifts focus to safe explanations, advancing accountable, human-centered AI. PARTICIPATE-AI: Exploring the Participatory Turn in Citizen-Centred AI (half-day workshop) Organizers: Pam Briggs (Northumbria University), Cristina Conati (University of British Columbia), Shaun Lawson (Northumbria University), Kyle Montague (Northumbria University), Hugo Nicolau (University of Lisbon), Ana Cristina Pires (University of Lisbon), Sebastien Stein (University of Southampton), John Vines (University of Edinburgh) URL: https://sites.google.com/view/participate-ai/workshop<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> This workshop explores value alignment for participatory AI, focusing on interfaces and tools that bridge citizen participation and technical development. As AI systems increasingly impact society, meaningful and actionable citizen input in their development becomes critical. However, current participatory approaches often fail to influence actual AI systems, with citizen values becoming trivialized. This workshop will address challenges such as risk articulation, value evolution, democratic legitimacy, and the translation gap between community input and system implementation. Topics include value elicitation within different communities, critical analysis of failed participatory attempts, and methods for making citizen concerns actionable for developers. SHAPEXR: Shaping Human-AI-Powered Experiences in XR (full-day workshop) Organizers: Giuseppe Caggianese (National Research Council of Italy, Institute for High-Performance Computing and Networking Napoli), Marta Mondellini (National Research Council of Italy, Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing, Lecco), Nicola Capece (University of Basilicata), Mario Covarrubias (Politecnico di Milano), Gilda Manfredi (University of Basilicata) URL: https://shapexr.icar.cnr.it<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> This workshop explores how eXtended Reality (XR) can serve as a multimodal interface for AI systems, including LLMs and conversational agents. It focuses on designing adaptive, human-centered XR environments that incorporate speech, gesture, gaze, and haptics for seamless interaction. Main topics include personalization, accessibility, cognitive load, trust, and ethics in AI-driven XR experiences. Through presentations, discussions, and collaborative sessions, the workshop aims to establish a subcommunity within IUI to develop a roadmap that includes design principles and methodologies for inclusive and adaptive intelligent interfaces, enhancing human capabilities across various domains, such as healthcare, education, and collaborative environments. TRUST-CUA: Trustworthy Computer-Using Generalist Agents for Intelligent User Interfaces (full-day workshop) Organizers: Toby Jia-Jun Li (University of Notre Dame), Segev Shlomov (IBM Research), Xiang Deng (Scale AI), Ronen Brafman (Ben-Gurion University of the Negev), Avi Yaeli (IBM Research) Zora (Zhiruo) Wang (Carnegie Mellon University) URL: https://sites.google.com/view/trust-cuaiui26/home<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> Computer-Using Agents (CUAs) are moving from point automations to generalist agents acting across GUIs, browsers, APIs, and CLIs—raising core IUI questions of trust, predictability, and control. This workshop advances trustworthy-by-design CUAs through human-centered methods: mixed-initiative interaction, explanation and sensemaking, risk/uncertainty communication, and recovery/rollback UX. Outcomes include (1) a practical TRUST-CUA checklist for oversight, consent, and auditing, (2) a user-centered evaluation profile (“CUBench-IUI,” e.g., predictability, oversight effort, time-to-recovery, policy-aligned success), and (3) curated design patterns and open challenges for deployable, accountable agentic interfaces. Important Dates • Paper Submission: 19 December, 2025 • Notification: February 2, 2026 All dates are 23:59h AoE (anywhere on Earth). Organisation General Chairs • Tsvi Kuflik, The University of Haifa, Israel • Styliani Kleanthous, Open University of Cyprus, Cyprus Local Organising Chair • George A. Papadopoulos, University of Cyprus, Cyprus Workshop and Tutorial Chairs • Karthik Dinakar, Pienso Inc, USA • Werner Geyer, IBM Research, USA • Patricia Kahr, Eindhoven University of Zurich, Switzerland • Antonela Tommasel, ISISTAN, CONICET-UNCPBA, JKU, Argentina, Austria

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Deadline approaching: Call for Nominations: BCS Search Industry Awards 2025
by Udo Kruschwitz 14 Oct '25

14 Oct '25

BCS Search Industry Awards 2025 We are delighted to announce this year's Search Industry Awards, celebrating the best search innovations of 2025. Presented by the Information Retrieval Specialist Group of the BCS <https://www.bcs.org/membership-and-registrations/member-communities/informa…>, these awards recognize people, projects, and organisations around the world that have excelled in the design of search and information retrieval products and services. If you know of any people, projects, or products that deserve recognition, let us know by submitting a nomination. Alternatively, if you're involved with something special yourself, you can submit an application <https://docs.google.com/forms/d/e/1FAIpQLSfxTx0oN3xCRcy1rgktug-k4e8kmVvvLQL…> today. Categories This year we are offering four awards: Best Search Project recognises the most impactful implementation of search technology or methodology in solving a specific problem or need. Previous winners include: Datafari Enterprise Search <https://www.datafari.com/en/index.html>, an open-source end-to-end solution covering the needs of enterprise search scenarios Wikiframe Visual Graph <https://wikiframe.library.unlv.edu/>, a search capability for Special Collections data stored on Wikidata CiteSeerX <https://citeseerx.ist.psu.edu/>, one of the largest open-source academic search engines with over 10 million documents Search Professional of the Year is made to an individual who has made a significant contribution through their work and professionalism. Previous winners include: Jayaprakash Sundararaj <https://www.linkedin.com/in/osjayaprakash/>, Lead Engineer at Google Amey Porobo Dharwadker <https://ameydhar.com/>, Machine Learning Tech Lead Manager at Meta Adam Tocock <https://www.whittington.nhs.uk/mini-apps/staff/profile/?id=2478>, Library Assistant at NHS Most promising Start-up (or new Enterprise) recognises the innovative and disruptive potential of a business model, technology, or solution. Previous winners include: deepset.ai <http://deepset.ai/>, a leader in framework and platform technology that accelerates AI application development with large language models (LLMs); and the creator of the Haystack open-source framework batteryincluded.ai <http://batteryincluded.ai/>, First BI Product Discovery Framework incl. 3 pillars for highest relevance within global product listings Giotto AI <https://www.giotto.ai/>, an all-in-one platform to automatize, digitalize, and standardize the data collection, analysis and writing of a Clinical Evaluation Report Best Presentation at Search Solutions Previous winners include: Taketomo Isazawa, Microsoft Research: “Beyond RAG: Integrating Knowledge with LLMs" Charlie Hull, OSC: “Pragmatic AI-powered Search – Keeping it Simple, not Stupid”. Filip Radlinski, Google: “Challenges with Really Understanding Natural Language in Conversational Recommendation” The last award is open only to presenters at Search Solutions, and will be judged on the day of the event. For all others, apply today <https://docs.google.com/forms/d/e/1FAIpQLSfxTx0oN3xCRcy1rgktug-k4e8kmVvvLQL…>! Judging Panel Winners will be selected by our panel of judges (details to be announced shortly). Awards Ceremony The awards ceremony will take place during Search Solutions 2025 <https://www.bcs.org/membership-and-registrations/member-communities/informa…>. Apply We’ve designed the application process <https://docs.google.com/forms/d/e/1FAIpQLSfxTx0oN3xCRcy1rgktug-k4e8kmVvvLQL…> to be simple to complete. If you are unsure which category to apply for, or have questions about the application process, contact us via the address below. For further details, see: https://www.bcs.org/membership-and-registrations/member-communities/informa… <https://www.bcs.org/membership-and-registrations/member-communities/informa…> Nominations will remain open until 31st October 2025. Contact If you have any questions on the above, please contact the Awards Chair at udo.kruschwitz(a)ur.de <mailto:udo.kruschwitz@ur.de> with a copy to the IRSG Events Organiser at tgr2uk+irsg(a)gmail.com <mailto:tgr2uk+irsg@gmail.com> About IRSG The IRSG is a Specialist Group of BCS <https://www.bcs.org/>. Its mission is to provide a focus for the European IR community, facilitate communication between researchers and practitioners and promote the adoption of IR research within industry. We host a major European conference (ECIR) and provide an associated programme of workshops, seminars and events. The IRSG is free to join via the BCS website, which provides access to further IR articles, events and resources. BCS is the industry body for IT professionals. With members in over 100 countries around the world, BCS is the leading professional and learned society in the field of computers and information systems.

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CFP: MultiPRIDE shared task at EVALITA 2026
by Viviana Patti 13 Oct '25

13 Oct '25

[apologies for cross-posting] Call for Participation for MultiPRIDE task at EVALITA 2026 <https://www.evalita.it/campaigns/evalita-2026/> MultiPRIDE: Multilingual Automatic Detection of Reclamation of Slurs in the LGBTQ+ Context - https://multipride-evalita.github.io/ <https://multipride-evalita.github.io/> With this task, we invite researchers, practitioners and students to explore features and issues related to reclaimed language in the LGBTQ+ community. In particular, we suggest participants to focus on both the textual content of the inputs (such as arguments, slurs, denigratory words, self-labeling, figures of speech), and the contextual information that can be inferred from the users’ profile (when available), such as their being part of the LGBTQ+ community. This is a binary classification task, in which systems must classify whether a term related to LGBTQ+ context in a sentence is used with a reclamatory intent or not. We propose two different tasks that can be addressed according to a constrained or unconstrained approach: • Task A - Textual Content: participants are provided only with the textual content of the tweet. • Task B - Contextual Content: in addition to the textual content of the tweet, participants can use contextual information related to the author’s profile, such as their biography (when available). MultiPRIDE is a multilingual task and involves one or more languages among Italian, Spanish and English data. Although not mandatory, participants are encouraged to foster cross-linguistic analysis. Important Dates: • September 29, 2025: release of training data • November 21, 2025: Call for Interest deadline • November 27 – December 4, 2025: evaluation window • December 15, 2025: results to participants • January 9, 2026: submission of participants’ report • February 7, 2026: reviews to participants • February 16, 2026: camera ready • February 26 – 27, 2026: EVALITA workshop (Bari) More details available on MultiPRIDE website https://multipride-evalita.github.io/ <https://multipride-evalita.github.io/> and on Evalita26 website https://www.evalita.it/campaigns/evalita-2026/tasks/ <https://www.evalita.it/campaigns/evalita-2026/tasks/> If you have any doubts, do not hesitate to write to us at multipride-evalita(a)gmail.com <mailto:multipride-evalita@gmail.com> The MultiPRIDE team

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[2nd CFP]: 7th International Conference on AI in Computational Linguistics (ACLing-2025)
by Khaled Shaalan 13 Oct '25

13 Oct '25

========================= 7th International Conference on AI in Computational Linguistics (ACLing 2025), December 6-7, 2025 (Hybrid Conference) Publication: Procedia Computer Science by ELSEVIER Website: https://acling.org/ ========================= ## IMPORTANT DATES ## * Submission deadline: 27 October 2025 * Acceptance Notification: 3 November 2025 * Final Camera-ready submission: 10 November 2025 * Author Registration & Payment: 17 November 2025 * Conference Date: 6-7 December 2025 ========================= ## INTRODUCTION ## The AI in Computational Linguistics (ACLing) conference serves as a premier international platform for the dissemination of cutting-edge research at the intersection of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). In light of rapid advancements in neural networks and large language models, the conference aims to foster scholarly exchange and collaboration among leading academics, researchers, and industry professionals engaged in the development and application of AI-driven methods in computational linguistics. ACLing welcomes high-quality contributions that address theoretical foundations, novel algorithms, and practical implementations across all dimensions of AI and ML in language technologies. The conference seeks to promote dialogue on emerging trends, innovative solutions, and critical challenges in the field, reflecting the growing importance and societal impact of AI-powered language processing. This year, the conference will be hosted by The British University in Dubai (BUiD), an institution recognized for its dedication to academic excellence, impactful research, and global engagement. BUiD’s commitment to fostering interdisciplinary innovation makes it an ideal venue for this prestigious event. ========================= ## Keynote Speaker# Dr. Muhammad Abdul-Mageed, The University of British Columbia, Canada (https://mageed.arts.ubc.ca/) ========================= ## TOPICS ## We welcome submissions in (but not limited to) the following areas: * Advanced Information Retrieval and Question Answering * Knowledge and Information Extraction * Linguistic Theories and Formal Resources for AI * Statistical and Neural Language Modeling * Speech Technologies and Multimodal Language Interfaces * Machine Translation and Cross-Lingual NLP * Multilinguality, Code-Switching, and Low-Resource Languages * Domain-Specific NLP (e.g., Legal, Biomedical, Scientific, Educational) * Syntactic Analysis, Tagging, and Parsing * Semantics, Pragmatics, and Commonsense Reasoning * Emotion Recognition, Sentiment Analysis, and Social Signal Processing * NLP for Social Media and Computational Social Science * Conversational AI, Spoken Dialogue, and Interactive Systems * Abstractive and Extractive Text Summarization * Natural Language Generation, Storytelling, and Creative AI * Text Classification, Topic Modeling, and Document Understanding * Text Mining and Large-Scale Knowledge Discovery * Vision-Language Models and Multimodal AI * Ethical, Legal, and Societal Implications of AI in Language Technologies * Large Language Models (LLMs): Architecture, Optimization, and Applications * Responsible and Interpretable AI for Language Understanding * Generative AI: Models, Evaluation, and Emerging Applications * Reinforcement Learning and Prompt Engineering for NLP Tasks * AI for Resource-Poor and Endangered Languages * Human-Centered NLP and User-Aware Language Interfaces * Benchmarking, Evaluation Metrics, and Explainability in NLP * AI-Augmented Writing, Reading, and Translation Tools This wide-ranging list reflects the dynamic nature of the field and aims to encourage interdisciplinary engagement that advances the frontiers of AI-driven language technologies. ========================= ## Submission Guidelines ## All submissions will be peer-reviewed by at least two Program Committee members. All accepted papers will be included in the conference proceedings and will be published in Procedia Computer Science by ELSEVIER. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of the authors. We encourage submissions that describe original unpublished work not currently under review for any other conference or journal. Submissions should be prepared according to the main conference guidelines and format described at the Submission Web Page: https://acling.org/submission/ Papers must be submitted electronically using the EasyChair conference management system: https://easychair.org/conferences?conf=acling2025 ========================= ## CONFERENCE ORGANIZERS ## * Prof. Khaled Shaalan, The British University in Dubai, UAE * Prof. Samhaa R. El-Beltagy, Newgiza University, Egypt ## INDEXING, RANKING, AND IMPACT (web sources)## ========================= * Abstracting and indexing: https://www.sciencedirect.com/journal/procedia-computer-science/about/insig… * Scopus/CiteScore: https://www.scopus.com/sourceid/19700182801 * SJR (scimago): https://www.scimagojr.com/journalsearch.php?q=19700182801&tip=sid * ACLing by Google Citation: https://scholar.google.com/citations?user=jkpMuFMAAAAJ&hl=en * ACLing by DBLP: https://dblp.org/db/conf/acling/index.html ## FURTHER INFORMATION & CONTACT DETAILS ## ========================= * Visit the conference website link https://acling.org/ (will be updated on a regular basis). * For general information, please contact us at ACLing2025(a)gmail.com or taher.ghazal(a)ieee.org Regards, Khaled ___________________________________________________ Prof. Dr. Khaled Shaalan Professor of Computer Science & Artificial Intelligence Head of Computer Science Department | Head of PhD in Computer Science Program Faculty of Engineering & IT, The British University in Dubai (BUiD), UAE Contact Information: Email: khaled.shaalan(a)buid.ac.ae<mailto:khaled.shaalan@buid.ac.ae> / khaled.shaalan(a)acm.org<mailto:khaled.shaalan@acm.org> Website: khaledshaalan.org<https://www.khaledshaalan.org> University Website: www.buid.ac.ae<http://www.buid.ac.ae> Phone: +971 42791400 D: +971 42791434‎ Dubai International Academic City, Block 10 & 11, 1st and 2nd floor, PO Box: 345015, Dubai, UAE Editorial & Leadership Roles: Associate Editor, ACM Transactions on Asian & Low-Resource Language Information Processing (TALLIP)<http://tallip.acm.org/‎> Founder & Chair, ACLing: International Conference on AI in Computational Linguistics<http://www.acling.org%20‎> Honors & Recognition: Top 2% Scientists in AI (Stanford Univ. Ranking) Member <https://devpgs.com/mbras2021/public/en/members> of Mohammed bin Rashid Academy of Scientists (MBRAS)<https://devpgs.com/mbras2021/public/en/members> Listed in Top Computer Scientists in UAE<https://research.com/scientists-rankings/computer-science/ae> Academic Profiles: Google Scholar<https://scholar.google.com/citations?hl=en&user=keLKdlgAAAAJ> | Scopus<https://www.scopus.com/authid/detail.uri?authorId=6507669702> | Web of Science<https://www.webofscience.com/wos/author/record/E-7377-2016> | ORCID<https://orcid.org/0000-0003-0823-8390> | ResearchGate<http://www.researchgate.net/profile/Khaled_Shaalan> | LinkedIn<http://www.linkedin.com/in/KhaledShaalan> ___________________________________________________ [https://ci3.googleusercontent.com/mail-sig/AIorK4wotCjOu6gvN1MMrPd720zx4yVU…] ___________________________________________________

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2026

2025

2024

2023

2022