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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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Industrial Internship on Multilingual IR and LLMs
by Tirthankar Ghosal 08 Dec '25

08 Dec '25

Hello all, If you are looking for an industrial internship on Multilingual IR, LLMs, and love to work in a fast-paced environment, please reach out: https://www.linkedin.com/posts/tirthankar-ghosal-ai_were-hiring-2-interns-f… Best, Tirthankar +++++++++++++++++++++++++++++++++++ Dr. Tirthankar Ghosal <https://www.tirthankarghosal.com/> Scientist (NLP/AI and HPC) <https://www.ornl.gov/staff-profile/tirthankar-ghosal> National Center for Computational Sciences (NCCS) Oak Ridge National Laboratory, United States & Affiliate Faculty (NLP/AI) <https://bredesencenter.utk.edu/faculty/tirthankar-ghosal/> University of Tennessee Knoxville United States ++++++++++++++++++++++++++++++++++++

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The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026): Last Combo Call for Workshop Papers
by Announce 07 Dec '25

07 Dec '25

*** Last Combo Call for Workshop Papers *** The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026) 17 March, 2026, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://conf.researchr.org/home/saner-2026<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> SANER 2026 attracted 213 full paper submissions, the third highest in the 33 years of running. The conference will feature the following workshops with open calls for submission. Please visit the workshops' websites and/or contact their organisers for more details. SQA4AI – Software Quality Assurance for Artificial Intelligence https://sqa4ai-ws.github.io<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> Greenvolve – The Green Software Evolution Workshop https://greenvolve.github.io<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> Fairness 2026 – 2nd International Workshop on Fairness in Software Systems https://fairnessworkshop.github.io<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> F-TRANSFER – Facilitating Continuous Education and Training Through AI in SE https://www.cs.ubbcluj.ro/~avescan/f-transfer-2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> IWBOSE 2026 – Ninth International Workshop on Blockchain Oriented Software Engineering https://www.agile-group.org/iwbose2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> VST 2026 – 9th Workshop on Validation, Analysis and Evolution of Software Tests https://vstworkshop.github.io/vst2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> MSR4P&S 2026 – 4th International Workshop on Mining Software Repositories Applications for Privacy and Security https://msr4ps.github.io<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> SUBMISSION LINK https://easychair.org/my/conference?conf=saner2026<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> IMPORTANT DATES • Abstract Submission: 12 December, 2025 • Paper Submission: 18 December, 2025 • Notification: January 14, 2026 • Camera-Ready: 20 January, 2026 All dates are 23:59h AoE (anywhere on Earth). ORGANISATION General Chair • Georgia Kapitsaki, University of Cyprus, Cyprus Local Organizing Chair • George Angelos Papadopoulos, University of Cyprus, Cyprus Workshops and Tutorials Co-Chairs • Marcelo De Almeida Maia, Federal University of Uberlandia, Brazil • Juri Di Rocco, University of L'Aquila, Italy

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3rd CFP: International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026)
by Constantin Orasan 07 Dec '25

07 Dec '25

International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026) Dubrovnik, Croatia, 24-27 June 2026 Third Call for Papers # The conference The third edition of the International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026) will take place in Dubrovnik, Croatia from 24 to 27 June 2026. The objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation and interpreting studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTIT’2026 invites all professionals who would like to learn about the new trends, present the latest work or/and share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures. The conference will include plenary presentations (research and user presentations, keynote speeches), poster sessions and panel discussions. All submitted papers will be peer-reviewed by experts, and the accepted papers will be published as open-access conference e- proceedings which will be available at the time of the conference. # Conference topics Contributions are invited on any topic related to latest technology and practices in translation, subtitling, localisation, interpreting, machine translation and Large Language Models used in translation and interpreting. NeTTIT’2026 will feature a Special Theme Track "Future of Translation and Interpreting Technologies in the Era of LLMs and Generative AI". The conference topics include but are not limited to (see also the special conference theme below): ## CAT tools - Translation Memory (TM) systems - NLP and MT for translation memory systems - Terminology extraction tools - Localisation tools ## Machine Translation - Latest developments in Neural Machine Translation - MT for under-resourced languages - MT with low computing resources - Multimodal MT - Integration of MT in TM systems - Resources for MT ## Technologies for MT deployment - MT evaluation techniques, metrics and evaluation results - Human evaluations of MT output - Evaluating MT in a real-world setting - Quality estimation for MT - Domain adaptation ## Translation Studies - Corpus-based studies applied to translation - Corpora and resources for translation - Translationese - Cognitive effort and eye-tracking experiments in translation ## Interpreting studies - Corpus-based studies applied to interpreting - Corpora and resources for interpreting - Interpretese - Resources for interpreting and interpreting technology applications - Cognitive effort and eye-tracking experiments in interpreting ## Interpreting technology - Machine interpreting - Computer-aided interpreting - NLP for dialogue interpreting - Development of NLP based applications for communication in public service settings (healthcare, education, law, emergency services) ## Emerging Areas in Translation and Interpreting - MT and translation tools for literary texts and creative texts - MT for social media and real-time conversations - Sign language recognition and translation ## Subtitling - NLP and MT for subtitling - Latest technology for subtitling ## User needs - Analysis of translators’ and interpreters’ needs in terms of translation and interpreting technology - User requirements for interpreting and translation tools - Incorporating human knowledge into translation and interpreting technology - What existing translators’ (including subtitlers’) and interpreters’ tools do not offer - User requirements for electronic resources for translators and interpreters - Translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed ## The business of translation and interpreting - Translation workflow and management - Technology adoption by translators and industry - Setting up translation /interpreting / language provider company ## Teaching translation and interpreting - Teaching Machine Translation - Teaching translation technology - Teaching interpreting technology - Latest AI developments in the syllabi of translation and interpreting curricula ## Ethical issues in translation and technology - Bias and fairness in MT - Privacy and security in cloud MT systems - Transparency and explainability of MT systems - Environmental impact on MT systems # Special Theme Track - Future of Translation and Interpreting Technologies in the Era of LLMs and Generative AI We are excited to share that NeTTIT’2026 will have a special theme with the goal of stimulating discussion around Large Language Models, Generative AI and the Future of Translation and Interpreting Technologies. While the new generation of Large Language Models such as CHATGPT, Gemini, Claude, DeepSeek and LLAMA showcase remarkable advancements in language generation and understanding, we find ourselves in uncharted territory when it comes to their performance on various Translation and Interpreting Technology tasks with regards to fairness, interpretability, ethics and transparency. The theme track invites studies on how LLMs perform on Translation and Interpreting Technology tasks and applications, and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following: - Changes in (and the impact on) the translators and interpreters’ professions in the new AI era especially as a result of the latest developments in LLMs and Generative AI - Generative AI and translation - Generative AI and interpreting - Augmenting machine translation systems with generative AI - Domain and terminology adaptation with Large Language Models - Literary translation with Large Language Models - Translation for low-resourced and minority languages with LLMs - Improving Machine Translation Quality with Contextual Prompts in Large Language Models - Prompt engineering for translation - Generative AI for professional translation - Generative AI for professional interpreting # Invited speaker Yves Champollion, Wordfast LLC (more names will be announced in future calls) # Submissions and publication NeTTIT’2026 invites the following types of submissions in English: ## Academic papers - Regular long papers: These can be up to eight (8) pages long, presenting substantial, original, completed, and unpublished work. - Short papers: These can be up to four (4) pages long and are suitable for describing small, focused contributions, work-in-progress, negative results, system demonstrations, etc. ## User papers – for industry and practitioners. References to related work are optional. Allowed paper length: between 2 and 4 pages. Submission link – Papers should be submitted through Softconf/START using the following link: https://softconf.com/p/nettit2026/user/ The conference will not consider and evaluate abstracts only. Further details on the submission procedure will be made available on the conference website. The accepted papers will be published in the conference e-proceedings with assigned ISBN and DOI and made available online on the conference website at the time of the conference. # Important dates - Submissions due: 23 March 2026 - Reviewing process: 25 March-25 April 2026 - Notification of acceptance: 28 April 2026 - Camera-ready due: 25 May 2026 - Conference camera-ready proceedings ready 15 June 2026 - Conference: 24-27 June 2026 # Conference Chairs - Gloria Corpas Pastor (University of Malaga) - Ruslan Mitkov (Lancaster University and University of Alicante) - Marko Tadic (University of Zagreb) # Programme Committee Chairs - Constantin Orasan (University of Surrey) - Tharindu Ranasinghe (Lancaster University) # Publication Chairs - Marie Escribe (LanguageWire and Polytechnic University of Valencia, Spain) - Alicia Picazo Izquierdo (University of Alicante, Spain) # Publicity and Sponsorship Chair - Vilelmini Sosoni (Ionian University) # Programme committee - Khetam Al Sharou, Dublin City University, Ireland - Lama Al-oqili, University of Liverpool, UK - Abdelalah Alsolami, University of Jeddah, Saudi Arabia - Silvia Bernardini, University of Bologna, Italy - Alba Bonet Jover, University of Alicante, Spain - Pierrette Bouillon, University of Geneve, Switzerland - Vicent Briva-Iglesias, Dublin City University, Ireland - Elena Calzada, ONCALL Language Services, London and Madrid Open University, Spain - Parthena Charalampidou, Aristotle University of Thessaloniki, Greece - Helle Dam Jensen, Aarhus University, Denmark - Anna Beatriz Dimas Furtado, University of Galway - Michael Farrell, University Institute of Modern Languages, Italy - Maria Fernandez-Parra, Swansea University, UK - Ɫukasz Grabowski, University of Opole, Poland - Manuel Herranz , Pangeanic, Spain - Hansi Hettiarachchi, Lancaster University, UK - Kristian Hvelplund, University of Copenhagen, Denmark - Miguel A Jimenez Crespo, Rutgers University, USA - Valentini Kalfadopoulou, Ionian University, Greece - Dorothy Kenny, Dublin City University, Ireland - Ekaterina Lapshinova-Koltunski , Hildesheim University, Germany - Raquel Lazaro Gutierrez, Alcalá University, Spain - Todor Lazarov, New Bulgarian University, Bulgaria - Defeng Li, University of Macau, Macau - Elpida Loupaki, Aristotle University of Thessaloniki, Greece - Elizabeth Marshman, Ottawa University, Canada - Khadidja Merakchi, Heriot Watt University, UK - Judyta Mężyk, University of Silesia, Poland - Núria Molines Galarza, Valencia University, Spain - Johanna Monti, Naples University, Italy - Ricardo Muñoz Martín, Bologna University, Italy - Jean Nitzke, University of Adger, Norway - Laura Noriega, University of Malaga, Spain - Lucas Nunes Vieira, Bristol University, UK - David Orrego-Carmona, Warwick University, UK - John E. Ortega, Northeastern University, USA - Timea Palotai-Torzsas, Juremy - Damith Premasiri, Lancaster University, UK - Ming Qian, Charles River Analytics, USA - Rozane Rebechi, Universidade Federal do Rio Grande do Sul, Brazil - Natália Resende, Dublin City University, Ireland - Matt Riemland, Heriot-Watt University, UK - Serge Sharoff, Leeds University, UK - Mark Shuttleworth, The Hang Seng University of Hong Kong, Hong Kong - Elena Isabelle Tamba, Romanian Academy, Romania - Shiyi Tan, University of Surrey, UK - Irina Temnikova, "Big Data for Smart Society" Institute, Bulgaria - Eleni Tziafa, University of Athens, Greece - Cecilia Yalangozian, Machine Translate, USA - Han Xu , Hong Kong Polytechnic University, Hong Kong - Sudhansu Bala Das, University of Galway, Ireland - Coco Xiaojing Zhao, The Hong Kong Polytechnic University, Hong Kong - Shuyin Zhang, The Chinese University of Hong Kong, Hong Kong # Venue The conference will take place at the Centre for Advanced Academic Studies (CAAS) of the University of Zagreb (http://www.caas.unizg.hr/) in Dubrovnik. # Sponsorship opportunities Companies working in the fields of translation technology, interpreting technology and/or related fields, are welcome to familiarise themselves with the sponsorship opportunities that the conference offers. Please visit https://nettt-conference.com/2026/sponsors/ for more details. # Further information and contact details The conference website (https://nettt-conference.com/) will be updated on a regular basis. For further information, please email nettit2026(a)nettt-conference.com. You can also follow us on social media for updates and announcements. LinkedIn - https://www.linkedin.com/company/nettit2026/ Twitter/X - https://x.com/NeTTIT2026 --- Prof Constantin Orăsan Professor of Language and Translation Technologies Centre for Translation Studies | School of Literature and Languages Personal page: https://www.surrey.ac.uk/people/constantin-orasan Office: 06LC03, Phone: +44 (0) 1483 68 4115 Library and Learning Centre, University of Surrey, Guildford, Surrey, GU2 7XH, UK

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