December 2025 - Corpora

CfP Submission Deadline Extended to Dec 17 (AoE) - 18th ACM WebSci’26 --> Final Call for Papers!
by Kaiser, Sierra Ann 08 Dec '25

08 Dec '25

TL;DR: The submission deadline for the 18th ACM Web Science Conference 2026<https://websci26.org/> (WebSci’26) has been extended by one week. --> New deadline: December 17 (Anywhere on Earth) --> Please visit the Call for Papers<https://websci26.org/?page_id=77> for submission details. --> Conference Dates: May 26-29, 2026 | https://websci26.org/ We look forward to your submissions! ------------------- Sierra Kaiser (she/her) Wissenschaftliche Koordinatorin / Scientific Coordinator Stuttgart Research Focus – Interchange Forum for Reflecting on Intelligent Systems (IRIS) Universität Stuttgart Geschwister-Scholl-Str. 24D | 3.352 | 70174 Stuttgart-Mitte Universitätsstr. 32 | 00.121 | 70569 Stuttgart-Vaihingen Tel.: +49 (0)711 685 84 371 Email: sierra.kaiser(a)iris.uni-stuttgart.de<mailto:sierra.kaiser@iris.uni-stuttgart.de> Mastodon<https://bawü.social/@Stuttgart_IRIS> | LinkedIn<https://www.linkedin.com/company/interchange-forum-for-reflecting-on-intell…> | IRIS Newsletter<https://t63605f96.emailsys1a.net/91/8138/3f626b8c5a/subscribe/form.html?_g=…> www.iris.uni-stuttgart.de/<http://www.iris.uni-stuttgart.de/>

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First Call for Papers: LREC 2026 Workshop on Learning Non-Literal Expressions with Small Data
by Valia Kordoni 08 Dec '25

08 Dec '25

Workshop on Learning Non-Literal Expressions with Small Data To be held in conjunction with LREC 2026, Palma de Mallorca, Spain on 11 May 2026. Overview Non-Literal Expressions (NLEs) in natural language are a reflection of fundamental cognitive processes such as analogical reasoning and categorisation, and are deeply rooted in everyday communication. NLEs understanding is therefore an essential task for language modeling. This task is especially challenging because it cannot be tackled by falling back on individual word meanings, but requires taking into account larger chunks of surrounding text or even contextual information. At the same time, it is important because the reliable processing of NLEs is relevant for optimizing downstream tasks like translation and summarization. This workshop focuses on understanding of Non-Literal Expressions. While most of the earlier work on NLEs had been devoted to metaphor and metonymy, recent activities target other forms of NLEs as well, e.g., hyperbole (deliberate exaggeration), litotes (understatement), rhetorical questions, and irony. Humanly annotated corpora for NLEs have very recently started becoming available to the research community and may serve as the basis for data-driven approaches to NLEs processing, with the interrelated goals of first identifying and then interpreting such expressions. Such data is mostly of high linguistic quality, but still very limited in size. Thus, the workshop’s focus is on adaptation of Language Models (LMs) and Deep Learning (DL) for processing of Non-Literal Expressions with limited high-quality data, since such constructs still pose big identification and processing challenges in natural language analysis tasks. Topics of Interest We are interested in contributions which focus on the use of techniques like self-training for leveraging unlabelled data, as well as in work that focuses on the incorporation of external linguistic resources and knowledge injection to enrich features, and also in research that describes work on utilisation of multitask learning with the aim to benefit from related tasks. The workshop also wants to discuss alternative approaches which may elaborate on the use of pre-trained Language Models (LMs) as a foundation and the application of techniques like contrastive learning and clustering to identify challenging examples within the data, the ultimate aim of the workshop being to highlight the necessity of high-quality data, as well as cross-lingual datasets. Invited Speakers - Prof. Barbara Plank, LMU Munich (https://bplank.github.io/) - Dr. Debanjan Ghosh, Princeton, USA Details will be announced on the workshop website (tba). Submission Guidelines Papers must be submitted electronically through Softconf: [link to come]. Submissions should: • Be 4–8 pages, excluding references and optional Ethics Statements • Follow the LREC 2026 style guidelines, available on the conference website: https://lrec2026.info/authors-kit/ • Use templates provided here: https://lrec2026.info/calls/second-call-for-papers/ Authors will be asked to supply information on any language resources (broadly defined — data, tools, standards, evaluation sets, etc.) used in or resulting from their work. ELRA strongly encourages sharing such resources to support reproducibility and reuse. Accepted papers will appear in the workshop proceedings. Presentation format (oral/poster) will be based solely on how best to communicate the work. Important Dates • 20 February 2026 — Submission Deadline • 11 March 2026 — Notification of Acceptance • 28 March 2026 — Camera-ready Papers Due Endorsements The workshop is endorsed by: Collaborative Research Centre 1412 "REGISTER" funded by the DFG Deutsche Forschungsgemeinschaft (German Research Foundation) Organizers • Markus Egg — Humboldt-Universität zu Berlin, Germany • Valia Kordoni - Humboldt-Universität zu Berlin, Germany Contact: kordonie at rz.hu-berlin.de

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First Call for Papers — Joint Workshop on Legal and Ethical Issues in Human Language Technologies (LEGAL2026) and Computational Approaches to Language Data Pseudonymization, Anonymization, De-identification, and Data Privacy (CALD-pseudo 2026)
by Maria Irena Szawerna 08 Dec '25

08 Dec '25

First Call for Papers: Joint Workshop on Legal and Ethical Issues in Human Language Technologies (LEGAL2026) and Computational Approaches to Language Data Pseudonymization, Anonymization, De-identification, and Data Privacy (CALD-pseudo 2026) Website: https://legal2026.mobileds.de/ We invite submissions to the Joint Workshop on Legal and Ethical Issues in Human Language Technologies (LEGAL2026) and Computational Approaches to Language Data Pseudonymization, Anonymization, De-identification, and Data Privacy (CALD-pseudo 2026), to be held at LREC 2026 on the 12th of May 2026. Important Dates * 20th of February 2026: paper submission deadline * 30th March 2026: camera ready deadline (strict) * 12th May 2026: workshop date Introduction Access to text and speech data is essential for research, yet personal and sensitive information often prevents open sharing. Techniques such as pseudonymization and anonymization offer potential solutions, but their effectiveness, limitations, and impact on data utility require deeper investigation. Balancing privacy protection with meaningful scientific use remains a key challenge. At the same time, legal and ethical requirements increasingly shape how language resources can be created, processed, and distributed. Regulatory frameworks, such as the GDPR, the Data Act, and the Artificial Intelligence Act, affect access, reuse, and documentation duties for both text and speech data, creating a complex environment that demands interdisciplinary insight. The workshop brings these two perspectives together by addressing both the technical and practical aspects of de-identification as well as the legal and ethical obligations governing data handling. Topics include anonymization and pseudonymization methods, compliance in practical workflows, provenance and rights tracking, and emerging approaches to legal metadata. The goal is to foster responsible, legally sound, and technically robust innovation in human language technologies. Topics of Interest We invite contributions from all disciplines involved in the creation, processing, governance, and de-identification of text and speech data. Submissions may address theoretical, empirical, methodological, legal, or technical questions, including cross-disciplinary work. We particularly encourage research on less-represented languages and on data from under-represented communities. 1. Legal Aspects of Language Data (LEGAL2026) * Regulatory frameworks and global governance * Intellectual property, data protection, and LLM governance * Ethics, fairness, trust, and transparency * Compliance in practice * Ethics, fairness, and trust * Operationalizing compliance * Emerging and grey areas * Interdisciplinary and cross-border coordination 2. Pseudonymization, Anonymization, and De-identification: Theoretical, Methodological, and Technical Aspects (CALD-pseudo 2026) * Detection and classification of personal information (PI) * Replacement and transformation of PI * Utility and bias after de-identification * Approaches to evaluation and adversarial testing * Dataset creation for de-identification research * Low-resource scenarios * Speech-specific challenges * Cross-disciplinary applications and challenges We invite submissions from fields where de-identification of data plays an important role, including but not limited to Computational Linguistics, Applied Linguistics, Corpus Linguistics, Digital Humanities, Social Sciences, Political Sciences, Medical Science etc., from the perspectives of researchers, public organizations, and industry. Submission Guidelines Authors are invited to submit original and unpublished research papers in the following categories: * Long papers (up to 8 pages) for substantial contributions * Short papers (up to 4 pages) for: * Small, focused contributions or ongoing or preliminary work * Extended abstracts for non-technical submissions only, such as conceptual, theoretical, legal, ethical, policy-oriented, or position papers. Extended abstract submissions are expected to be developed into regular papers by the camera-ready submission deadline. The full papers will be published as workshop proceedings along with the LREC main conference. They should follow the LREC stylesheet, which is available on the conference website on the Author’s kit<https://lrec2026.info/authors-kit/> page. Submission deadline: 20th of February 2026 The submission link will be provided in due time on the workshop website. When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). Keynote Talks We are delighted to announce the workshop will host keynote talks from two speakers: * Paweł Kamocki, Leibniz-Institut für Deutsche Sprache, Germany * Ivan Habernal, Ruhr University Bochum, Germany Workshop Organizers LEGAL 2026: * Ingo Siegert, Otto-von-Guericke Universität Magdeburg, Germany * Paweł Kamocki, Leibniz-Institut für Deutsche Sprache, Germany * Kossay Talmoudi, ELDA, France * Khalid Choukri, ELDA, France CALD-pseudo 2026 * Maria Irena Szawerna, University of Gothenburg, Sweden * Simon Dobnik, University of Gothenburg, Sweden * Therese Lindström Tiedemann, University of Helsinki, Finland * Pierre Lison, Norwegian Computing Center & University of Oslo, Norway * Ildikó Pilán, Norwegian Computing Center, Norway * Ricardo Muñoz Sánchez, University of Gothenburg, Sweden * Lisa Södergård, University of Helsinki, Finland * Elena Volodina, University of Gothenburg, Sweden * Xuan-Son Vu, Lund University & DeepTensor AB, Sweden Program Committee A list of program committee members is available on the workshop webpage. Contact For general inquiries, please contact mail(a)legal2026.mobiles.de Best regards, Maria Irena Szawerna ____________________ PhD student Språkbanken Text<https://spraakbanken.gu.se/> Institutionen för svenska, flerspråkighet och språkteknologi<https://www.gu.se/svenska-spraket> UNIVERSITY OF GOTHENBURG<https://www.gu.se/> https://spraakbanken.gu.se/om/personal/maria-szawerna

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Call for Participation - Dimensional Stance Analysis (DimStance) as Track B in SemEval-2026 Task 3
by Lung-Hao Lee 08 Dec '25

08 Dec '25

Dear colleagues, We are delighted to announce SemEval-2026 Task 3 Track B: Dimensional Stance Analysis *Aspect-Based Sentiment Analysis (ABSA)* is a widely used technique for analyzing people’s opinions and sentiments at the aspect level. However, current ABSA research predominantly adopts a coarse-grained, categorical sentiment representation (e.g., positive, negative, or neutral). This approach stands in contrast to long-established theories in psychology and affective science, where sentiment is represented along fine-grained, real-valued dimensions of valence (ranging from negative to positive) and arousal (from sluggish to excited). This valence-arousal (VA) representation has inspired the rise of dimensional sentiment analysis as an emerging research paradigm, enabling more nuanced distinctions in emotional expression and supporting a broader range of applications. Given an utterance or post and a target entity, stance detection involves determining whether the speaker is in favor or against the target. *This track reformulates stance detection as a Stance-as-DimABSA task with the following transformations:* *1. The stance target is treated as an aspect.2. Discrete stance labels are replaced with continuous VA scores.* Building on this, we introduce *Dimensional Stance Analysis (DimStance)*, a Stance-as-DimABSA task that reformulates stance detection under the ABSA schema in the VA space. This new formulation extends ABSA beyond consumer reviews to public-issue discourse (i.e., politics and environmental protection) and also generalizes stance analysis from categorical labels to continuous VA scores. Given a text and one or more aspects (targets), predict a real-valued valence-arousal (VA) score for each aspect, reflecting the stance expressed by the speaker toward it. ——————— *Languages* ——————— *We provide data in 5 languages*, including: German (deu), English (eng), Hausa (hau), Swahili (swa), and Chinese (zho) ——————— *Evaluation* ——————— RMSE is used. ——————— *Participation* ——————— *Website* (checkout details): https://github.com/DimABSA/DimABSA2026 *Codabench* (register and submit results) - Track B: https://www.codabench.org/competitions/11139/ *Discord* (community and discussion) https://discord.gg/xWXDWtkMzu *Google Group* (official updates): https://groups.google.com/g/dimabsa-participants ——————— *Important Dates * ——————— - Sample Data Ready: 15 July 2025 - Training Data Ready: 30 September 2025 - Evaluation Start: 12 January 2026 - Evaluation End: 30 January 2026 - System Description Paper Due: February 2026 - Notification to Authors: March 2026 - Camera Ready Due: April 2026 - SemEval Workshop 2026: co-located with ACL 2026 (San Diego, CA, USA) We warmly invite the community to participate in this exciting shared task and contribute to advancing NLP research. Best regards, SemEval-2026 Task 3 Organizers

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1st Call for Papers: RaPID-6@MENTAL.ai @ LREC-2026
by Dimitrios Kokkinakis 08 Dec '25

08 Dec '25

*********************************************************************************** The 6th workshop on: "Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments" in collaboration with the MENTAL.ai -consortium Workshop: co-located with LREC 2026 | Palma de Mallorca, Spain | May 12th, 2026 RaPID-6(a)MENTAL.ai serves as an interdisciplinary platform for researchers to exchange insights, methods, and experiences related to collecting and processing data from individuals with mental, cognitive, neuropsychiatric, or neurodegenerative impairments. The workshop focuses on creating, processing, and applying such data resources from individuals at different stages and severity levels of these impairments. The ultimate goal of RaPID-6(a)MENTAL.ai is to facilitate the study of relationships among linguistic, paralinguistic, and extra-linguistic observations, with applications ranging from aiding diagnosis to enhancing monitoring and predicting individuals at higher risk, ultimately promoting multidisciplinary collaboration across clinical/medical, language technology, computational linguistics, and computer science communities. Workshop date: Tue., 12th of May 2026 Submission deadline: Sun., 22nd of February, 2026 (anywhere on earth) Paper submission: <SOFTCONF-TBA> Invited Speakers: Prof. Brian MacWhinney, Carnegie Mellon University, USA. and Assoc Prof, MD, Sunny X. Tang, Feinstein Institutes for Medical Research, Northwell Health, USA. Website and details: https://spraakbanken.gu.se/en/rapid-2026 Contact: Dimitrios Kokkinakis Contact email: dimitrios.kokkinakis(a)gu.se<mailto:dimitrios.kokkinakis@gu.se> Organizing committee: * Dimitrios Kokkinakis, University of Gothenburg, Sweden * Charalambos Themistocleous, University of Oslo, Norway * Gaël Dias, University of Caen Normandie, France * Kathleen C. Fraser, University of Ottawa, Canada * Fredrik Öhman, University of Gothenburg and Sahlgrenska University Hospital, Sweden * Sebastião Pais, University of Beira Interior, Portugal ************************************************************************************

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mental health support conversations in Hebrew and Arabic
by Kobi Gal 08 Dec '25

08 Dec '25

We have released a public anonymized dataset and LLM models of mental health support conversations in Hebrew and Arabic. Thanks to Israeli Innovation Authority for their support! https://lnkd.in/eYbPhN2y Sincerely Kobi Gal https://ailab.ise.bgu.ac.il/

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First Call for Papers — Workshop on Dialects in NLP: A Resource Perspective (at LREC 2026)
by s.bompolas＠athenarc.gr 08 Dec '25

08 Dec '25

Workshop on Dialects in NLP: A Resource Perspective To be held in conjunction with LREC 2026, Palma de Mallorca, Spain on 11, 12 and 16 May 2026. Website: https://dialres.github.io/dialres/ Overview DialRes-LREC26 addresses the growing need for high-quality resources supporting dialect-focused NLP. The workshop aims to bring together researchers from linguistics, computational linguistics, digital humanities, and adjacent fields to exchange insights on the creation, documentation, evaluation, and use of dialectal resources. Topics of Interest We invite submissions relating to any aspect of developing or using resources for dialectal NLP. Topics include — but are not limited to — the following: • Creation and evaluation of spoken and written dialect resources • Orthographic normalization and standardization • Treatment of dialect–standard distinctions in annotation frameworks for speech and text • Cross-dialect and cross-lingual transfer; model adaptation methods • Scalability issues and resource-efficient techniques • Use of LLMs in resource creation, augmentation, annotation, or processing • Resources supporting dialect preservation, revitalization, and community engagement • Pedagogical, sociolinguistic, and linguistic applications viewed through a resource lens • Practical considerations when working with dialect resources (legal, financial, academic, societal) • Empowering dialect communities in developing their own resources Invited Speaker Prof. Barbara Plank, LMU Munich (https://bplank.github.io/) Details will be announced on the workshop website. Submission Guidelines Papers must be submitted electronically through Softconf: [link to come]. Submissions should: • Be 4–8 pages, excluding references and optional Ethics Statements • Follow the LREC 2026 style guidelines, available on the conference website: https://lrec2026.info/authors-kit/ • Use templates provided here: https://lrec2026.info/calls/second-call-for-papers/ Authors will be asked to supply information on any language resources (broadly defined — data, tools, standards, evaluation sets, etc.) used in or resulting from their work. ELRA strongly encourages sharing such resources to support reproducibility and reuse. Accepted papers will appear in the workshop proceedings. Presentation format (oral/poster) will be based solely on how best to communicate the work. For inquiries: dialres-lrec26(a)googlegroups.com Important Dates • 20 February 2026 — Submission Deadline • 11 March 2026 — Notification of Acceptance • 28 March 2026 — Camera-ready Papers Due Endorsements The workshop is endorsed by: • UniDive COST Action CA21167, which supports work on language diversity and resource development • Archimedes/Athena RC, a major AI research hub in Greece with strong academic and industrial collaborations Organizing Committee • Antonios Anastasopoulos — George Mason University / Archimedes–Athena RC • Stella Markantonatou — ILSP / Archimedes–Athena RC • Angela Ralli — University of Patras / Archimedes–Athena RC • Marcos Zampieri — George Mason University • Stavros Bompolas — Archimedes–Athena RC • Vivian Stamou — Archimedes–Athena RC

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3rd CfP SIGHUM (LaTeCH-CLfL) 2026 Workshop at EACL 2026
by Stefania Degaetano-Ortlieb 08 Dec '25

08 Dec '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 Second 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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The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): Last Combo Call for Workshop Papers
by Announce 08 Dec '25

08 Dec '25

*** Last 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: December 19, 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, University of Zurich, Switzerland • Antonela Tommasel, ISISTAN, CONICET-UNCPBA, JKU, Argentina, Austria

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The 2nd Call for Participation – SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis on Customer Reviews and Stance Datasets.
by Lung-Hao Lee 08 Dec '25

08 Dec '25

Dear colleagues, We are delighted to announce *SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis on Customer Reviews and Stance Datasets*. *Aspect-Based Sentiment Analysis (ABSA)* is a widely used technique for analyzing people’s opinions and sentiments at the aspect level. However, current ABSA research predominantly adopts a coarse-grained, categorical sentiment representation (e.g., positive, negative, or neutral). This approach stands in contrast to long-established theories in psychology and affective science, where sentiment is represented along fine-grained, real-valued dimensions of valence (ranging from negative to positive) and arousal (from sluggish to excited). This valence-arousal (VA) representation has inspired the rise of dimensional sentiment analysis as an emerging research paradigm, enabling more nuanced distinctions in emotional expression and supporting a broader range of applications. To bridge this gap, we propose *Dimensional ABSA (DimABSA)*, a shared task that integrates dimensional sentiment analysis into the traditional ABSA framework. Furthermore, there is a conceptual similarity between stance detection and ABSA when the stance target is treated as an aspect. Building on this, we introduce *Dimensional Stance Analysis (DimStance)*, a Stance-as-DimABSA task that reformulates stance detection under the ABSA schema in the VA space. This new formulation extends ABSA beyond consumer reviews to public-issue discourse (e.g., social, political, energy, climate) and also generalizes stance analysis from categorical labels to continuous VA scores. ——————— *Languages* ——————— *We provide data in 9 languages*, including: German (deu), English (eng), Hausa (hau), Japan (jpn), Russian (rus), Swahili (swa), Tatar (tat), Ukrainian (ukr), and Chinese (zho) ——————— *Domains* ——————— *A total of 6 application domains*, including: Restaurant, Laptop, Hotel, Finance, Environmental Protection, and Politics ——————— *Subtasks* ——————— *Track A – Dimensional Aspect-Based Sentiment Analysis (DimABSA)*: Predict real-valued valence–arousal (VA) scores for aspects and extract their associated information from text. Its subtasks include: - *Subtask 1: DimASR *– Dimensional Aspect Sentiment Regression - *Subtask 2: DimASTE* – Dimensional Aspect Sentiment Triplet Extraction - *Subtask 3: DimASQP* – Dimensional Aspect Sentiment Quad Prediction *Track B – Dimensional Stance Analysis (DimStance)*: A Stance-as-DimABSA task, where the target in stance detection is treated as an aspect. Its subtasks include: - Subtask 1: DimASR for stance analysis ——————— *Evaluation* ——————— For both tracks, RMSE is used for Subtask 1, and a new metric (continuous F1) for Subtasks 2 & 3. ——————— *Participation* ——————— *Website* (checkout details): https://github.com/DimABSA/DimABSA2026 *Codabench* (register and submit results) - Track A: https://www.codabench.org/competitions/10918/ - Track B: https://www.codabench.org/competitions/11139/ *Discord* (community and discussion) https://discord.gg/xWXDWtkMzu *Google Group* (official updates): https://groups.google.com/g/dimabsa-participants ——————— *Important Dates * ——————— - Sample Data Ready: 15 July 2025 - Training Data Ready: 30 September 2025 - Evaluation Start: 12 January 2026 - Evaluation End: 30 January 2026 - System Description Paper Due: February 2026 - Notification to Authors: March 2026 - Camera Ready Due: April 2026 - SemEval Workshop 2026: co-located with ACL 2026 (San Diego, CA, USA) We warmly invite the community to participate in this exciting shared task and contribute to advancing NLP research. Best regards, SemEval-2026 Task 3 Organizers

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Corpora December 2025