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Third Call for Papers: NLPAICS'2026 – NLP & AI for Cyber Security (11-12 June, Alicante, Spain)
by ernesto.estevanell＠ua.es 30 Jan '26

30 Jan '26

Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS'2026) University of Alicante, Alicante, Spain 11 and 12 June 2026 https://nlpaics2026.gplsi.es/ Third Call for Papers Recent advances in Natural Language Processing (NLP), Deep Learning and Large Language Models (LLMs) have resulted in improved performance of applications. In particular, there has been a growing interest in employing AI methods in different Cyber Security applications. In today's digital world, Cyber Security has emerged as a heightened priority for both individual users and organisations. As the volume of online information grows exponentially, traditional security approaches often struggle to identify and prevent evolving security threats. The inadequacy of conventional security frameworks highlights the need for innovative solutions that can effectively navigate the complex digital landscape to ensure robust security. NLP and AI in Cyber Security have vast potential to significantly enhance threat detection and mitigation by fostering the development of advanced security systems for autonomous identification, assessment, and response to security threats in real time. Recognising this challenge and the capabilities of NLP and AI approaches to fortify Cyber Security systems, the Second International Conference on Natural Language Processing (NLP) and Artificial Intelligence (AI) for Cyber Security (NLPAICS'2026) continues the tradition from NLPAICS'2024 to be a gathering place for researchers in NLP and AI methods for Cyber Security. We invite contributions that present the latest NLP and AI solutions for mitigating risks in processing digital information. Conference topics The conference invites submissions on a broad range of topics related to the employment of NLP and AI (and in general, language studies and models) for Cyber Security, including but not limited to: _Societal and Human Security and Safety_ * Content Legitimacy and Quality * Detection and mitigation of hate speech and offensive language * Fake news, deepfakes, misinformation and disinformation * Detection of machine-generated language in multimodal context (text, speech and gesture) * Trust and credibility of online information * User Security and Safety * Cyberbullying and identification of internet offenders * Monitoring extremist fora * Suicide prevention * Clickbait and scam detection * Fake profile detection in online social networks * Technical Measures and Solutions * Social engineering identification, phishing detection * NLP for risk assessment * Controlled languages for safe messages * Prevention of malicious use of ai models * Forensic linguistics * Human Factors in Cyber Security _Speech Technology and Multimodal Investigations for Cyber Security_ * Voice-based security: Analysis of voice recordings or transcripts for security threats * Detection of machine-generated language in multimodal context (text, speech and gesture) * NLP and biometrics in multimodal context _Data and Software Security_ * Cryptography * Digital forensics * Malware detection, obfuscation * Models for documentation * NLP for data privacy and leakage prevention (DLP) * Addressing dataset "poisoning" attacks _Human-Centric Security and Support_ * Natural language understanding for chatbots: NLP-powered chatbots for user support and security incident reporting * User behaviour analysis: analysing user-generated text data (e.g., chat logs and emails) to detect insider threats or unusual behaviour * Human supervision of technology for Cyber Security _Anomaly Detection and Threat Intelligence_ * Text-Based Anomaly Detection * Identification of unusual or suspicious patterns in logs, incident reports or other textual data * Detecting deviations from normal behaviour in system logs or network traffic * Threat Intelligence Analysis * Processing and analysing threat intelligence reports, news, articles and blogs on latest Cyber Security threats * Extracting key information and indicators of compromise (IoCs) from unstructured text _Systems and Infrastructure Security_ * Systems Security * Anti-reverse engineering for protecting privacy and anonymity * Identification and mitigation of side-channel attacks * Authentication and access control * Enterprise-level mitigation * NLP for software vulnerability detection * Malware Detection through Code Analysis * Analysing code and scripts for malware * Detection using NLP to identify patterns indicative of malicious code _Financial Cyber Security_ * Financial fraud detection * Financial risk detection * Algorithmic trading security * Secure online banking * Risk management in finance * Financial text analytics _Ethics, Bias, and Legislation in Cyber Security_ * Ethical and Legal Issues * Digital privacy and identity management * The ethics of NLP and speech technology * Explainability of NLP and speech technology tools * Legislation against malicious use of AI * Regulatory issues * Bias and Security * Bias in Large Language Models (LLMs) * Bias in security related datasets and annotations _Datasets and resources for Cyber Security Applications_ _Specialised Security Applications and Open Topics_ * Intelligence applications * Emerging and innovative applications in Cyber Security _Special Theme Track - Future of Cyber Security in the Era of LLMs and Generative AI_ NLPAICS 2026 will feature a special theme track with the goal of stimulating discussion around Large Language Models (LLMs), Generative AI and ensuring their safety. The latest generation of LLMs, such as ChatGPT, Gemini, DeepSeek, LLAMA and open-source alternatives, has showcased remarkable advancements in text and image understanding and generation. However, as we navigate through uncharted territory, it becomes imperative to address the challenges associated with employing these models in everyday tasks, focusing on aspects such as fairness, ethics, and responsibility. The theme track invites studies on how to ensure the safety of LLMs in various 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: * Detection of LLM-generated language in multimodal context (text, speech and gesture) * LLMs for forensic linguistics * Bias in LLMs * Safety benchmarks for LLMs * Legislation against malicious use of LLMs * Tools to evaluate safety in LLMs * Methods to enhance the robustness of language models Submissions and Publication NLPAICS welcomes high-quality submissions in English, which can take two forms: * Regular long papers: These can be up to eight (8) pages long, presenting substantial, original, completed, and unpublished work. * Short (poster) papers: These can be up to four (4) pages long and are suitable for describing small, focused contributions, ongoing research, negative results, system demonstrations, etc. Short papers will be presented as part of a poster session. The conference will not consider and evaluate abstracts only. Accepted papers, including both long and short papers, will be published as e-proceedings with ISBN will be available online on the conference website at the time of the conference and are expected to be uploaded into the ACL Anthology. To prepare your submission, please make sure to use the NLPAICS 2026 style files available here: LaTeX: NLPAICS_2026_LaTeX.zip [1] Overleaf: https://www.overleaf.com/read/sgwmrzbmjfhc#aeea77 Word: https://nlpaics2026.gplsi.es/wp-content/uploads/2025/11/NLPAICS2026_Proceed… Papers should be submitted through Softconf/START using the following link: https://softconf.com/p/nlpaics2026/user/ The conference will feature a student workshop, and awards will be offered to the authors of best papers. Important dates * Submissions due: 16 March 2026 * Reviewing process: 1 April - 30 April 2026 * Notification of acceptance: 5 May 2026 * Camera-ready due: 19 May 2026 * Conference camera-ready proceedings ready 1 June 2026 * Conference: 11-12 June 2026 Organisation Conference Chairs Ruslan Mitkov (University of Alicante) Rafael Muñoz (University of Alicante) Programme Committee Chairs Elena Lloret (University of Alicante) Tharindu Ranasinghe (Lancaster University) Publication Chair Ernesto Estevanell (University of Alicante) Sponsorship Chair Andres Montoyo (University of Alicante) Student Workshop Chair Salima Lamsiyah (University of Luxembourg) Best Paper Award Chair Saad Ezzini (King Fahd University of Petroleum & Minerals) Publicity Chair Beatriz Botella (University of Alicante) Social Programme Chair Alba Bonet (University of Alicante) Venue The Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS'2026) will take place at the University of Alicante and is organised by the University of Alicante GPLSI research group. Further information and contact details The follow-up calls will list keynote speakers and members of the programme committee once confirmed. The conference website is https://nlpaics2026.gplsi.es/ and will be updated on a regular basis. For further information, please email nlpaics2026(a)dlsi.ua.es Registration will open in March 2026. Links: ------ [1] http://summer-school.gplsi.es/NLPAICS_2026_LaTeX.zip

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LCR 2026: Extension of abstract submission deadline
by alexandr.rosen＠ff.cuni.cz 30 Jan '26

30 Jan '26

The deadline for submitting abstracts to the Learner Corpus Research conference, due 16–19 September 2026 in Prague, Czech Republic (https://lcr2026.ff.cuni.cz), has been extended until 7 February 2026.

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The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): Call for Participation
by Announce 30 Jan '26

30 Jan '26

*** Call for Participation *** 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/ (*** Early Registration Deadline: February 13, 2026 ***) The 2026 ACM Conference on Intelligent User Interfaces (ACM IUI) is the annual premier venue, where researchers and practitioners meet and discuss state-of-the-art advances at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). Ideal IUI submissions should address practical HCI challenges using machine intelligence and discuss both computational and human-centric aspects of such methodologies, techniques and systems. This year we had a record number of submissions, so we have a record number of accepted papers (114), a record number of posters and demos (53) and we hope for a record number of participants. Furthermore, we have 8 workshops and 5 tutorials. Finally, the technical program will feature two keynotes, by Antonio Kruger on the role of HCI in trusted A.I. and Pattie Maes on designing A.I. interaction for human flourishing. The detailed program of IUI 2026 can be found on the conference website: https://iui.acm.org/2026/program/ . The early registration deadline is on February 13th and the registration page is: https://iui.acm.org/2026/registration/ We are looking forward to meeting everybody in Paphos. 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 Program Chairs • Li Chen, Hong Kong Baptist University, China • Giulio Jacucci, University of Helsinki, Finland • Alison Renner, Dataminr, USA

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Postdoc in "Authority Presuppositions in Human—AI Communication" project (University of Stuttgart)
by Agnieszka Faleńska 30 Jan '26

30 Jan '26

Dear all, I would like to draw your attention to the position announced below. We are searching for a postdoc or an advanced PhD student whose research interests align with the interdisciplinary focus of the project. The position requires: a background in NLP, including prior experience with prompting LLMs and data analysis, familiarity with key concepts in linguistics and formal pragmatics (e.g. presuppositions), enthusiasm for interdisciplinary research. The position is funded for 20 months and runs until the end of 2027. If you are interested, please submit a single PDF containing: a brief motivation letter outlining your research interests and connection to the APHIC project; a CV, including a publication list; contact information for one to two references. Applications should be sent to Agnieszka Faleńska (agnieszka.falenska at ims.uni-stuttgart.de). until February 13, 2026. The position will remain open until filled, so please feel free to get in touch even if you come across this call after February 13th. Best regards, Agnieszka Faleńska ——— Dear colleagues, We invite applications for a Postdoctoral Researcher position in the interdisciplinary project "Authority Presuppositions in Human—AI Communication" (APHIC) at the University of Stuttgart. The project is led by Dr. Agnieszka Faleńska [1] and Prof. Judith Tonhauser [2] under the IRIS-HISIT initiative. Project APHIC is part of the "Human-Intelligent Systems Interaction and Teaming" (IRIS-HISIT) programme [3] funded by the Ministry of Science, Research, and the Arts of Baden-Württemberg [4]. The project investigates authority presuppositions—implicit assumptions that an AI system has the expertise to deliver high-stakes advice (e.g., medical or legal). The project aims to (1) develop a theoretically grounded taxonomy of authority presuppositions, and (2) design and evaluate conversational repair strategies that maintain trust and informativeness while ensuring user safety. Position • Duration: 20 months • Earliest start: March 2026 • Salary: TV-L 13 (100%), see [5] for details • Environment: The researcher will be embedded in the IRIS community [6] and collaborate closely with colleagues at the Institute for Natural Language Processing [7] and the Institute of Linguistics [8]. Candidate Profile • PhD in computational linguistics or a related field • Familiarity with key concepts in linguistics and formal pragmatics, e.g. presuppositions • Experience in programming, prompting LLMs, and machine learning • Excellent communication skills and enthusiasm for interdisciplinary research • Proficiency in English (German not required) How to Apply Please submit one PDF containing: • a brief motivation letter outlining your research interests, • your CV with publication list • contact information for one to two references. Applications should be sent to: Agnieszka Faleńska (agnieszka.falenska at ims.uni-stuttgart.de <http://ims.uni-stuttgart.de/>). Applications received before 13th February 2026 will be given full consideration. The position will remain open until filled, so do not hesitate to get in touch when you find this opening after 13th of February. The University of Stuttgart would like to increase the proportion of women in the scientific field and is therefore particularly interested in applications from women. Severely disabled persons are given priority in the case of equal suitability. University of Stuttgart The University of Stuttgart is a technically oriented university in Germany. It is especially known for engineering and related topics, with its computer science department being ranked highly, both nationally and internationally. The city of Stuttgart is the capital of the state of Baden-Württemberg in southwest Germany. It is a lively and international city, known for its strong economy and rich culture. With Germany's high-speed train system, it is well-connected to many other interesting places, for instance, Munich and Cologne (~2.5 hours), Paris (~3.5 hours), Berlin (~5.5 hours), Strasbourg (<1.5 hours), and Lake of Constance (~2.5 hours). Links [1] www.ims.uni-stuttgart.de/en/institute/team/Falenska <http://www.ims.uni-stuttgart.de/en/institute/team/Falenska> [2] www.ling.uni-stuttgart.de/en/institute/team/Tonhauser/ <http://www.ling.uni-stuttgart.de/en/institute/team/Tonhauser/> [3] www.iris.uni-stuttgart.de/research/human-intelligent-systems-interaction-an… <http://www.iris.uni-stuttgart.de/research/human-intelligent-systems-interac…> [4] mwk.baden-wuerttemberg.de/de/startseite <http://mwk.baden-wuerttemberg.de/de/startseite> [5] oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2025 <http://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2025> [6] www.iris.uni-stuttgart.de/ <http://www.iris.uni-stuttgart.de/> [7] www.ims.uni-stuttgart.de <http://www.ims.uni-stuttgart.de/> [8] www.ling.uni-stuttgart.de <http://www.ling.uni-stuttgart.de/>

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Webinar by: Henning Wachsmuth (Leibniz University Hannover)
by HiTZ Zentroa 30 Jan '26

30 Jan '26

**** We apologize for the multiple copies of this email. In case you are already registered to the next webinar, you do not need to register again. **** ------------------------------------- Dear colleague, We are happy to announce the next webinar in the Language Technology webinar series organized by The HiTZ Chair of Artificial Intelligence and Language Technology (https://hitz.eus/katedra). We are organizing one seminar every month. Next webinar: Speaker: Henning Wachsmuth (Leibniz University Hannover) Title: Toward Argumentative Large Language Models Date: Thursday, February 5, 2026 - 15:00 Summary: Today's large language models (LLMs) are optimized toward giving helpful answers in response to prompts. In many situations, however, it may be preferable for an LLM to foster critical thinking rather than just following an instruction. While recent LLMs are said to 'reason', they barely build on established reasoning concepts known from argumentation theory. In this talk, I will give insights into recent efforts of my group in making LLMs more argumentative. Starting from basics of LLM training processes, I will present how to specialize LLMs for argumentation tasks via instruction fine-tuning as well as how to align the arguments they generate using reinforcement learning. From there, I will give an outlook on how to improve the actual reasoning capabilities of LLMs. Bio: Henning Wachsmuth leads the Natural Language Processing Group at the Institute of Artificial Intelligence of Leibniz University Hannover. After receiving his PhD from Paderborn University in 2015, he worked as a PostDoc at Bauhaus-Universität Weimar and as a junior professor in Paderborn, before he became a full professor in Hannover in 2022. His group does basic research on large language models for computational argumentation, social bias detection and mitigation, as well as explainable and educational NLP. Henning's main research interests include the generation of audience-aware text, the assessment of pragmatic text quality, and the modeling of bias and framing. Registration: https://www.hitz.eus/webinar_izenematea Upcoming webinars: José Andrés González-López (March 5) Ranjay Krishna (April 16) Barbara Plank (May 7) You can view the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, The HiTZ Chair of Artificial Intelligence and Language Technology P.S: HiTZ will not grant any type of certificate for attendance at these webinars.

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2nd CfP DeTermIt! Workshop @ LREC 2026
by Giorgio Maria Di Nunzio 29 Jan '26

29 Jan '26

[apologies for cross posting] DeTermIt! Workshop @ LREC 2026 Second Workshop on Evaluating Text Difficulty in a Multilingual Context Location: Palau de Congressos de Palma, Palma de Mallorca (Spain) ##################### Second Call for Papers Schedule - Paper submissions: 23 February 2026 - Notification of acceptance: 13 March 2026 - Camera-ready due: 30 March 2026 - Workshop: one of 11, 12, or 16 May 2026 (half-day) All deadlines are 11:59PM UTC-12:00 AoE (“Anywhere on Earth”) For more information, please visit: Website: https://determit2026.dei.unipd.it/ ##################### In today’s interconnected world, where information dissemination knows no linguistic bounds, it is crucial to ensure that knowledge is accessible to diverse audiences, regardless of language proficiency and domain expertise. Automatic Text Simplification (ATS) and text difficulty assessment are central to this goal, especially in the age of Large Language Models (LLMs) and Generative AI (GenAI), which increasingly mediate access to information. The second edition of the DeTermIt! workshop focuses on the evaluation and modeling of text difficulty in multilingual, terminology-rich contexts, with a particular emphasis on the interaction between: - text simplification, - terminology and conceptual complexity, and - LLM/GenAI-based generation and rewriting. The 2026 edition builds on the first DeTermIt! workshop held at LREC-COLING 2024 (https://determit2024.dei.unipd.it/), as well as related initiatives such as the CLEF SimpleText track (https://simpletext-project.com/), which provides reusable data and benchmarks for scientific text summarization and simplification. DeTermIt! 2026 aims to bring together researchers and practitioners interested in terminology-aware simplification, lexical and conceptual difficulty, and evaluation protocols for GenAI systems. We welcome contributions that address theoretical, methodological, and applied aspects of text difficulty, including resource creation and evaluation (e.g., corpora, datasets, and benchmarks), with a focus on how linguistic complexity, specialized terminology, and domain knowledge interact with human understanding. In particular, we encourage work that explores how LLMs and GenAI can be evaluated, constrained, or guided to produce readable, faithful, and accessible texts. ##################### Topics of Interest ##################### We invite submissions on (but not limited to) the following themes: 1. Theoretical and Modeling Perspectives - Cognitive and linguistic models of text and lexical complexity. - Multilingual readability and text difficulty prediction. - Modeling conceptual difficulty and domain-specific terminology. - Theoretical connections between lexicography, terminology, and text simplification. 2. Terminology and Conceptual Complexity - Identification and classification of specialized terms and concepts. - Estimation of term difficulty for lay readers and second language learners. - Use of terminological databases, ontologies, and knowledge graphs in simplification pipelines. - Methods for adapting domain-specific terminology for accessible communication (e.g., in medicine, law, technology). 3. Generative and Explainable AI for Text Simplification - LLM- and GenAI-based approaches to text simplification and paraphrasing. - Terminology-Augmented Generation (TAG) and term-preserving simplification. - Evaluation of GenAI outputs: readability, factuality, terminology fidelity, and hallucination analysis. - Readability-controlled or difficulty-controlled generation; controllable simplification. - Human-centered and explainable approaches to text accessibility in GenAI systems. 4. Resources, Benchmarks, and Evaluation Frameworks - Corpora, annotation schemes, and benchmarks for text difficulty and simplification. - Datasets and methods for evaluating terminology-aware simplification and explanation. - FAIR and reusable resources for multilingual text accessibility. - Evaluation protocols and metrics for cross-lingual and cross-domain simplification and GenAI-based rewriting. 5. Applications and Case Studies - Domain-specific simplification (e.g., healthcare, legal, scientific communication). - Tools and systems for educational settings, language learning, or accessible communication. - User studies, human evaluation setups, and mixed-method approaches to assessing text difficulty and GenAI-assisted simplification. - Industrial and real-world experiences with integrating ATS and terminology into LLM-driven workflows. ##################### Submission Guidelines ##################### We invite original contributions, including research papers, case studies, negative results, and system demonstrations. When submitting a paper through the START system of LREC 2026, authors will be asked to provide essential information about language resources (in a broad sense: data, tools, services, standards, evaluation packages, etc.) that have been used for the work described in the paper or are a new result of the research. ELRA strongly encourages all authors to share the resources described in their papers to support reproducibility and reusability. Papers must be compliant with the stylesheet adopted for the LREC 2026 Proceedings (see https://lrec2026.info/authors-kit/). The workshop proceedings will be published in the LREC 2026 workshop proceedings. PAPER TYPES We accept three types of submissions: - Regular long papers – up to eight (8) pages of content, presenting substantial, original, completed, and unpublished work. - Short papers – up to four (4) pages of content, describing smaller focused contributions, work in progress, negative results, or system demonstrations. - Position papers – up to eight (8) pages of content, discussing key open challenges, methodological issues, and cross-disciplinary perspectives on text difficulty, terminology, and GenAI. References do not count toward the page limits. ##################### Organizers ##################### Chairs Giorgio Maria Di Nunzio, University of Padua, Italy Federica Vezzani, University of Padua, Italy Liana Ermakova, Université de Bretagne Occidentale, France Hosein Azarbonyad, Elsevier, The Netherlands Jaap Kamps, University of Amsterdam, The Netherlands Scientific Committee Florian Boudin - Nantes University, France Lynne Bowker - University of Ottawa, Canada Sara Carvalho - Universidade NOVA de Lisboa / Universidade de Aveiro, Portugal Rute Costa - Universidade NOVA de Lisboa, Portugal Eric Gaussier - University Grenoble Alpes, France Natalia Grabar - CNRS, France Ana Ostroški Anić - Institute of Croatian Language and Linguistics, Croatia Tatiana Passali - Aristotle University of Thessaloniki Grigorios Tsoumakas - Aristotle University of Thessaloniki Sara Vecchiato - University of Udine, Italy Cornelia Wermuth - KU Leuven, Belgium ##################### Contact ##################### For inquiries, please contact: giorgiomaria.dinunzio(a)unipd.it <mailto:giorgiomaria.dinunzio@unipd.it>

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CfP: 9th Workshop on the Use of Computational Methods in the Study of Endangered Languages (ComputEL-9)
by Antti Arppe 29 Jan '26

29 Jan '26

ComputEL-9: Ninth Workshop on the Use of Computational Methods in the Study of Endangered Languages First CALL FOR PAPERS for REGULAR SESSION Submission deadline: March 20, 2026 Submission link: https://softconf.com/acl2026/ComputEL2026 ComputEL-9 will be co-located with ACL 2026 in San Diego, California. We encourage submissions that explore the interface and intersection of computational linguistics, documentary linguistics, and community-based efforts in language revitalization and reclamation. This includes submissions that: (i) demonstrate new methods or technologies for tasks or applications focused on low-resource settings, and in particular, endangered languages, (ii) examine the use of specific methods in the analysis of data from low-resource languages, or demonstrate new methods for analysis of such data, oriented toward the goals of language reclamation and revitalization, (iii) propose new models for the collection, management, and mobilization of language data in community settings, with attention to e.g. issues of data sovereignty and community protocols, (iv) explore concrete steps for a more fruitful interaction among computer scientists, documentary linguists, and language communities. IMPORTANT DATES 20-Mar-2026 Deadline for submissions 1-May-2026 Notification of Acceptance Early May Camera-ready papers due (Exact date TBD by ACL) July 3 or 4 Workshop (Exact date TBD by ACL) PRESENTATIONS Presentation of accepted papers will be in both oral sessions and a poster session. The decision on whether a presentation for a paper will be oral and/or poster will be made by the Organizing Committee on the advice of the Program Committee, taking into account the subject matter and how the content might be best conveyed. Oral and poster presentations will not be distinguished in the Proceedings. SUBMISSIONS In line with our goal of reaching multiple overlapping communities, authors can submit to one of the workshop’s tracks: (a) language community perspective and (b) academic perspective. All submissions must be anonymous following ACL guidelines and will be peer-reviewed by the scientific Program Committee. PROCEEDINGS The authors of selected accepted full papers (long or short) will be invited by the Organizing Committee to submit their papers for online publication via the open-access ACL Anthology. Final versions of long and short papers will be allotted one additional page (altogether 5 and 9 pages) excluding references. Proceedings papers should be revised and improved versions of the work that was submitted for, and which underwent, review. Any revisions should concern responses to reviewer comments or the addition of relevant details and clarifications, but not entirely new, unreviewed content. ADDITIONAL AND CONTACT INFORMATION Please see the ComputEL-9 website for further information: https://computel-workshop.org/computel-9/ Email for Organizing Committee: computel.workshop(a)gmail.com -- ====================================================================== Antti Arppe - Ph.D (General Linguistics), M.Sc. (Engineering) Professor of Quantitative Linguistics Director, Alberta Language Technology Lab (ALTLab) Project Director, 21st Century Tools for Indigenous Languages (21C) Department of Linguistics, University of Alberta Algonquian Studies Association - Secretary-Treasurer E-mail: arppe(a)ualberta.ca, antti.arppe(a)iki.fi WWW: www.ualberta.ca/~arppe, altlab.ualberta.ca Mānahtu ina rēdûti ihza ummânūti ihannaq - dulum ugulak úmun ingul ----------------------------------------------------------------------

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ACM ICMI 2026: Call for Papers
by Gualtiero Volpe 29 Jan '26

29 Jan '26

ICMI 2026 CALL FOR PAPERS ============================================ 5-9 October 2026, Napoli - Italy https://icmi.acm.org/2026/ ============================================ The 28th International Conference on Multimodal Interaction (ICMI 2026) will be held in Napoli, Italy. ICMI is the premier international forum for advancing research at the intersection of multimodal artificial intelligence (AI) and social interaction to create technically innovative, effective, and human-centered multimodal interactive systems. A unique aspect of ICMI is its multidisciplinary nature, bringing together research in AI, multimodal data processing, human-machine, and human-human interaction to bridge behavioral understanding with technology, with an eye towards impactful applications that benefit people and society. Novelty will be evaluated along two dimensions: scientific novelty and technical novelty. Accepted papers at ICMI 2026 must demonstrate novelty in at least one of these two dimensions. The theme of this year's conference is "Context and Cultural Awareness for Multimodal Interaction", to explore how context and cultural factors influence multimodal interaction systems, including their design, implementation, and evaluation. We welcome papers that address the integration of contextual understanding, such as environmental, social, and emotional factors, into multimodal interaction systems. We also encourage contributions that explore cultural considerations in the development and deployment of interactive technologies. Topics of interest include, but are not limited to: * Affective computing and interaction * User-adaptive systems * Cognitive modelling and multimodal interaction * Context-aware modelling * Cross-cultural design and evaluation * Gesture, touch, and haptics * Healthcare, assistive technologies * Human communication dynamics * Human-robot/agent multimodal interaction * Human-centred AI and ethics * Interaction with a smart environment * Machine learning for multimodal interaction * Mobile and wearable multimodal systems * Multimodal behaviour generation * Multimodal datasets and validation * Multimodal dialogue modeling * Multimodal fusion and representation * Multimodal interactive applications * Novel multimodal datasets * Spoken/visual behaviours in social interaction * System components and multimodal platforms * Virtual/augmented reality and multimodal interaction Commitment to ethical conduct is mandatory, and submissions must adhere to ethical standards, in particular when human-derived data are employed. Authors are encouraged to consult the ACM Code of Ethics and Professional Conduct (https://ethics.acm.org/). *** Important Dates Abstract deadline April 13, 2026 Paper Submission April 20, 2026 Rebuttal Period June 1, 2026 Paper notification July 6, 2026 Camera-ready paper July 23, 2026 Presenting at the main conference October 6-8, 2026 *** ACM Publication Policies ACM's New Open Access Publishing Model. Starting January 1, 2026, ACM will fully transition to Open Access. All ACM publications, including those from ACM-sponsored conferences, will be 100% Open Access. Authors will have two primary options for publishing Open Access articles with ACM: the ACM Open institutional model or by paying Article Processing Charges (APCs). With over 1,800 institutions already part of ACM Open, the majority of ACM-sponsored conference papers will not require APCs from authors or conferences (currently, around 70-75%). Authors from institutions not participating in ACM Open will need to pay an APC to publish their papers, unless they qualify for a financial or discretionary waiver. To find out whether an APC applies to your article, please consult the list of participating institutions in ACM Open and review the APC Waivers and Discounts Policy. Keep in mind that waivers are rare and are granted based on specific criteria set by ACM. Understanding that this change could present financial challenges, ACM has approved a temporary subsidy for 2026 to ease the transition and allow more time for institutions to join ACM Open. The subsidy will offer: * $250 APC for ACM/SIG members * $350 for non-members This represents a 65% discount, funded directly by ACM. Authors are encouraged to help advocate for their institutions to join ACM Open during this transition period. This temporary subsidized pricing will apply to all conferences scheduled for 2026, including ICMI.

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2nd Call for Papers: LREC 2026 Workshop on Learning Non-Literal Expressions with Small Data (NLE 2026)
by Valia Kordoni 28 Jan '26

28 Jan '26

Workshop on Learning Non-Literal Expressions with Small Data (NLE 2026) To be held in conjunction with LREC 2026, Palma de Mallorca, Spain on 11 May 2026. Website: https://sites.google.com/view/nle2026/home 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 - Barbara Plank, LMU Munich - Debanjan Ghosh, Princeton, USA Further details and info on the invited talks will be announced shortly. Submission Guidelines Papers must be submitted electronically through Softconf, using the following link: https://softconf.com/lrec2026/NLE2026/ 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) Programme Committee - Beata Beigman Klebanov, ETS, USA - Maria Berger, Ruhr-Universität Bochum, Germany - Yuri Bizzoni, Aarhus University, Denmark - Kenneth Church, VecML Inc., USA - Stefanie Dipper, Ruhr-Universität Bochum, Germany - Markus Egg, Humboldt-Universität zu Berlin, Germany - Anna Feldman, Montclair State University, USA - Debanjan Ghosh, Princeton, USA - Valia Kordoni, Humboldt-Universität zu Berlin, Germany - Emmy Liu, CMU, USA - Petya Osenova, Sofia University “St. Kl. Ohridski”, Bulgaria - Sebastian Padó, IMS Stuttgart, Germany - Gudrun Reijnierse, Vrije Universiteit Amsterdam, The Netherlands - Sebastian Reimann, Ruhr-Universität Bochum, Germany - Adam Roussel, Ruhr-Universität Bochum, Germany - Tatjana Scheffler, Ruhr-Universität Bochum, Germany - Vered Shwartz, The University of British Columbia, Canada - Caroline Sporleder, Georg-August-Universität Göttingen, Germany - Egon Stemle, EURAC, Italy 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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Postdoctoral and PhD Opportunities (University of Vienna)
by Benjamin Roth 28 Jan '26

28 Jan '26

Postdoctoral and PhD Opportunities in NLP, Explainable AI & Digital Humanities University of Vienna — Deadline: 2 March 2026 The University of Vienna is currently advertising postdoctoral and doctoral positions across multiple faculties. Within two of these calls, I am available as host / supervisor for projects in NLP, explainable AI, and language-centered AI research. Selection is carried out by independent committees. (A) Postdoctoral positions — E-STEEM Programme (STEM faculties) Deadline: 2 March 2026 Eligibility: Women applicants only (programme rule) Within the university-wide E-STEEM programme, I am available as a host for postdoctoral projects in Natural Language Processing and Explainable AI, with a focus on interpretability, human-centered evaluation, and responsible language technologies. A typical candidate profile would include prior publications in leading NLP venues (e.g. ACL, EMNLP, NAACL or closely related conferences). Projects hosted in my group would be embedded in an active NLP research environment with strong mentorship, modern compute infrastructure, and support for developing an independent research profile. Programme information (Faculty of Computer Science): https://careers.univie.ac.at/en/postdoc/e-steem/faculty-of-computer-science Pre-application contact: nlp.datamining(a)univie.ac.at (subject: E-STEEM – pre-application inquiry) (B) PhD positions — Philological & Cultural Studies Deadline: 2 March 2026 The Faculty of Philological and Cultural Studies is advertising doctoral positions within its humanities-focused doctoral programmes. Within this call, I am available to supervise PhD projects in Philological and Cultural Studies that draw on methods from linguistics, Digital Humanities, and AI. Possible project directions, where there is thematic overlap with my research, include explainability of AI systems, linguistic and human-centered perspectives on language technologies, and computational approaches to cultural and historical language data. Programme information: https://careers.univie.ac.at/en/praedoc/praedoc-ssh/ds-of-philological-and-… Pre-application contact: nlp.datamining(a)univie.ac.at (subject: PhD PhilKult – pre-application inquiry) About me / research context: https://www.benjaminroth.net/ -- Univ.-Prof. Dr. Benjamin Roth Digitale Textwissenschaften Universität Wien Kolingasse 14 Raum 5.17 1090 Wien email: benjamin.roth(a)univie.ac.at tel: +43 14277 79513 virtual coffee (Tuesday 2pm CEST): https://www.benjaminroth.net/virtual_coffee video call: https://univienna.zoom.us/j/93796507934?pwd=VFg5dW9JbStPUml6WFVtOWJXV3phQT09 web: https://dm.cs.univie.ac.at/team/person/112089/

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