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Fully funded PhD opportunity at Lancaster University
by Brezina, Vaclav 02 Feb '26

02 Feb '26

Dear all, We are delighted to offer a fully funded PhD studentship starting in October 2026, open to UK and international applicants. We welcome applications from outstanding candidates with experience in corpus linguistics, language testing, or quantitative applied linguistics, including skills in e.g. corpus design, statistical analysis, and tools such as R, Python or #LancsBox X. Delivered in collaboration with Trinity College London, the PhD will explore communicative competence in English language tests, with implications for fairness, accessibility and social mobility. The successful candidate will be based in Lancaster and work regularly on campus as part of the CASS team. Further details and application information are available here: https://cass.lancs.ac.uk/fully-funded-phd-opportunity-at-the-cass-research-… Please feel free to share this opportunity. Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Co-Director of the ESRC Centre for Corpus Approaches to Social Science Faculty of Humanities, Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room B46 T: +44 (0)1524 510828 @vaclavbrezina

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[CfP] TGDK Special Issue: Neuro-Symbolic Modeling for Human-Centric AI
by Marco Antonio Stranisci 02 Feb '26

02 Feb '26

================================================ Transactions on Graph Data & Knowledge (TGDK) https://www.dagstuhl.de/tgdk Special Issue: Neuro-Symbolic Modeling for Human-Centric AI https://www.dagstuhl.de/en/institute/news/2026/tgdk-cfp-special-issue-neuro… Submissions due: June 30th, 2026 ================================================ In recent years, the alignment of Artificial Intelligence technologies with people’s behaviors and worldviews has become a central topic for several sectors of Computer Science. The pervasive diffusion of Large Language Models (LLM) inside and outside the academic sector requires important efforts to ensure fairness and representativity towards all social and cultural groups, potentially considering different identities that characterize potential end-users of these technologies. This special issue welcomes contributions on the development of graph-based abstractions and implementations of graph-based approaches for human-centered AI. It welcomes hybrid neuro-symbolic and graph-based approaches focused on knowledge reasoning for learning, and learning approaches for reasoning, as well as the design and curation of graph-based data and semantic models to explore the inclusion and representation of human identities in AI systems. == Scope == This special issue solicits submissions of research, resource and survey articles that conform to the scope of TGDK on the following specific topics: Ontology modeling and knowledge representation for Human-Centric AI * Knowledge representation for reducing bias in AI * Ontologies of identity dimensions and psychology for AI * Ontologies of sociological and communication theories for AI * Linked Data approaches for Human-Centric AI Data quality, integration and provenance for Human-Centric AI * FAIR and CARE principles for AI models * Graph-based provenance approaches for AI models * Incorporating cultural metadata into AI workflows * KG-driven approaches for bias detection and mitigation in archives LLM integration with graph-structured knowledge for the design of fair AI technologies * Question answering with LLMs and graph-structured knowledge * Reducing LLM hallucinations with graph-structured knowledge * Injecting graph-structured knowledge into LLMs * Retrieval-Augmented Generation using graph-structured knowledge * Enhancing graph-structured knowledge using LLMs Logic and reasoning for Explainable AI * Logic-based methods for governance of AI * Logic-based methods for ethical AI frameworks * Logic-based methods for legal compliance of AI * Extraction of logic-based representations for explainable AI * Graph-based constraint languages for explainable AI == Guest Editors == * Stefano De Giorgis, Vrije Universiteit Amsterdam, Netherlands * Marco Antonio Stranisci, University of Turin, Italy * Luana Bulla, University of Bologna, Italy * Lia Draetta, University of Turin, Italy * Rossana Damiano, University of Turin, Italy * Filip Ilievski, Vrije Universiteit Amsterdam, Netherlands == Timeline == * Submissions: June 30, 2026 * Author Notifications: September 30, 2026 * Revisions: October 31, 2026 * Author Notifications: November 30, 2026 * Publication: Q4 2026 / Q1 2027 == Submission == Please follow the the submission instructions for TGDK and select the corresponding Special Issue: https://drops.dagstuhl.de/entities/journal/TGDK#author As a Diamond Open Access journal, official versions of accepted papers (as accessible via DOI) are published and made available for free online *without fees for authors or readers*. Marco, UNITO <https://www.unito.it/persone/mstranis> and aequa-tech <https://aequa-tech.com/> "Aoki è sboccato e ancora inesperto, ma dentro di sé nasconde una sensibilità delicata e gentile. È questo ciò che mi comunicano le sue storie. Hayashi, sono certo che lei riuscirà a illuminare il suo cammino" Taiyo Matsumoto

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CFP: LT4HALA 2026
by Sprugnoli Rachele (rachele.sprugnoli) 02 Feb '26

02 Feb '26

CFP: LT4HALA 2026 - The Fourth Workshop on Language Technologies for Historical and Ancient Languages * Website: https://circse.github.io/LT4HALA/2026/ * Date: 11 May 2026 * Place: co-located with LREC 2026, 11-16 May 2026, Palma, Mallorca (Spain) * Submission page: https://softconf.com/lrec2026/LT4HALA2026/ * Submission deadline: 17 February 2026 DESCRIPTION LT4HALA 2026 is a one-day workshop that seeks to bring together scholars who are developing and/or are using Language Technologies (LTs) for historically attested languages, so to foster cross-fertilization between the Computational Linguistics community and the areas in the Humanities dealing with historical linguistic data, e.g. historians, philologists, linguists, archaeologists and literary scholars. LT4HALA 2026 follows LT4HALA 2020, 2022, 2024 that were organized in the context of LREC 2020, LREC 2022 and LREC-COLING 2024, respectively. Despite the current availability of large collections of digitized texts written in historical languages, such interdisciplinary collaboration is still hampered by the limited availability of annotated linguistic resources for most of the historical languages. Creating such resources is a challenge and an obligation for LTs, both to support historical linguistic research with the most updated technologies and to preserve those precious linguistic data that survived from past times. Relevant topics for the workshop include, but are not limited to: * creation and annotation of linguistic resources (both lexical and textual); * the role of digital infrastructures, such as CLARIN<https://www.clarin.eu/>, in supporting research based on language resources for historical and ancient languages; * handling spelling variation; * detection and correction of OCR errors; * deciphering; * morphological/syntactic/semantic analysis of textual data; * adaptation of tools to address diachronic/diatopic/diastratic variation in texts; * teaching ancient languages with LTs; * NLP-driven theoretical studies in historical linguistics; * NLP-driven analysis of literary ancient texts; * evaluation of LTs designed for historical and ancient languages; * LLMs for the automatic analysis of ancient texts. SHARED TASKS LT4HALA 2026 will host: * the 4th edition of EvaLatin<https://circse.github.io/LT4HALA/2026/EvaLatin>, a campaign entirely devoted to the evaluation of NLP tools for Latin. This new edition will focus on two tasks: dependency parsing and Named Entity Recognition. Dependency parsing will be based on the Universal Dependencies framework. * the 5th edition of EvaHan<https://circse.github.io/LT4HALA/2026/EvaHan>, the campaign for the evaluation of NLP tools for Ancient Chinese. EvaHan 2026 will focus on Ancient Chinese OCR (Optical Character Recognition) Evaluation. * the 2nd edition of EvaCun<https://circse.github.io/LT4HALA/2026/EvaCun>, the campaign for the evaluation of Ancient Cuneiform Languages, with shared tasks on transliteration normalization, morphological analysis and lemmatization, Named Entity Recognition of Akkadian and/or Sumerian. SUBMISSIONS Submissions should be 4 to 8 pages in length and follow the LREC stylesheet (see below). The maximum number of pages excludes potential Ethics Statements and discussion on Limitations, acknowledgements and references, as well as data and code availability statements. Appendices or supplementary material are not permitted during the initial submission phase, as papers should be self-contained and reviewable on their own. Papers must be of original, previously unpublished work. Papers must be anonymized to support double-blind reviewing. Submissions thus must not include authors’ names and affiliations. The submissions should also avoid links to non-anonymized repositories: the code should be either submitted as supplementary material in the final version of the paper, or as a link to an anonymized repository (e.g., Anonymous GitHub or Anonym Share). Papers that do not conform to these requirements will be rejected without review. Submissions should follow the LREC stylesheet, which is available on the LREC 2026 website on the Author’s kit page<https://lrec2026.info/authors-kit/>. Each paper will be reviewed by three independent reviewers. Accepted papers will appear in the workshop proceedings, which include both oral and poster papers in the same format. Determination of the presentation format (oral vs. poster) is based solely on an assessment of the optimal method of communication (more or less interactive), given the paper content. As for the shared tasks, participants will be required to submit a technical report for each task (with all the related sub-tasks) they took part in. Technical reports will be included in the proceedings as short papers: the maximum length is 4 pages (excluding references) and they should follow the LREC 2026 official format. Reports will receive a light review (we will check for the correctness of the format, the exactness of results and ranking, and overall exposition). All participants will have the possibility to present their results at the workshop. Reports of the shared tasks are not anonymous. WORKSHOP IMPORTANT DATES * 17 February 2026: submissions due * 13 March 2026: reviews due * 16 March 2026: notifications to authors * 27 March 2026: camera-ready due Shared tasks deadlines are available in the specific web pages: EvaLatin, EvaHan, EvaCun. Identify, Describe and Share your LRs! 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). [http://static.unicatt.it/ext-portale/5xmille_firma_mail_2023.jpg] <https://www.unicatt.it/uc/5xmille>

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Call for Participation: LT-EDI @ ACL 2026 - Homophobia and Transphobia Meme Classification
by Bharathi Raja Asoka Chakravarthi 01 Feb '26

01 Feb '26

*Homophobia and Transphobia Meme Classification | LT-EDI @ ACL 2026* We are pleased to invite the research community to participate in the LT-EDI @ ACL 2026 shared task on Homophobia and Transphobia Meme Classification, which addresses harmful multimodal content targeting LGBTQ+ individuals and communities. Memes function as compact multimodal communication units that combine visual and textual cues. They spread rapidly across cultures and languages. This combination enables both subtle and explicit forms of discrimination. The shared task focuses on the automatic identification of homophobic and transphobic content in memes. * 📝 Task Description*The shared task focuses on multiclass meme classification for detecting anti-LGBT content. Participants are provided with multimodal memes and are required to classify each meme into one of the predefined categories based on the presence of discriminatory content. *Labels:*Homophobia Transphobia Non-anti-LGBT *Languages:*English, Hindi, and Chinese *Description:*Separate datasets are released for each language, enabling analysis across culturally distinct meme collections. The task requires participants to identify discriminatory stereotypes, harmful visual elements, and derogatory textual cues embedded in memes. All training and test datasets are developed following culturally sensitive and ethical annotation practices. The task emphasizes robust multimodal understanding across diverse cultural contexts. * 📚 Resources* 🔗 Competition link (Codabench): https://www.codabench.org/competitions/11335/ 🔗 Task website: https://sites.google.com/view/lt-edi-2026/shared-tasks *🗓️ Important Dates*Task announcement: November 16, 2025 Training data release: November 25, 2025 Test data release: January 20, 2026 Run submission deadline: February 10, 2026 Results announcement: February 16, 2026 Paper submission deadline: March 5, 2026 Peer review notification: April 28, 2026 Camera-ready submission: May 12, 2026 Workshop dates: July 2–3, 2026 with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar Programme Director (MSc Computer Science - Artificial Intelligence) <https://www.universityofgalway.ie/courses/taught-postgraduate-courses/compu…> School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://research.universityofgalway.ie/en/persons/bharathi-raja-asoka-chakr…

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Edge Hill Corpus Research Group: Meeting #19
by Costas Gabrielatos 31 Jan '26

31 Jan '26

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Friday 6 February 2026, 2:00-3:30 pm (GMT<https://time.is/United_Kingdom>). Topic: Discourse Oriented Corpus Studies Speaker: Dan Malone<https://www.researchgate.net/profile/Daniel-Malone> (Edge Hill University, UK) Title: From Global Uncertainty to Domestic Danger: The lone wolf terrorist as a topos of threat in (poly)crisis discourses The abstract and registration link are here: https://sites.edgehill.ac.uk/crg/next Attendance is free. Registration closes on Wednesday 4 February. If you have problems registering, or have any questions, please email the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>). ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): First Call for Replications and Negative Results
by Announce 31 Jan '26

31 Jan '26

*** First Call for Replication and Negative Results *** 37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026) October 20-23, 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://cyprusconferences.org/issre2026/ The Replications and Negative Results (RENE) Track has been introduced in the software engineering community for a while and received overwhelmingly positive feedback. This year, we establish this track at ISSRE and invite researchers to (1) replicate results from previous papers and (2) publish studies with important and relevant negative or null results (results that fail to show an effect, yet demonstrate the research paths that did not pay off). We also encourage the publication of the negative results or replicable aspects of previously published work. For example, authors of a published paper reporting a working solution for a given problem can document in a “negative results paper” other (failed) attempts they made before defining the working solution they published. • Replication studies. The papers in this category must go beyond simply re- implementing an algorithm and/or re-running the artifacts provided by the original paper. Such submissions should at least apply the approach to new data sets (open-source or proprietary). A replication study should clearly report on results that the authors were able to replicate, as well as on the aspects of the work that were not replicable. • Negative results papers. We seek papers that report on negative results. We seek negative results for all types of program comprehension research in any empirical area (qualitative, quantitative, case study, experiment, etc.). For example, did your controlled experiment not show an improvement over the baseline? Even if negative, results obtained are still valuable when they are either not obvious or disprove widely accepted wisdom. Evaluation Criteria Both Replication Studies and Negative Results submissions will be evaluated according to the following standards: • Depth and breadth of the empirical studies • Clarity of writing • Appropriateness of conclusions • Amount of useful, actionable insights • Availability of artifacts • Underlying methodological rigor. A negative result due primarily to misaligned expectations or due to lack of statistical power (small samples) is not a good submission. The negative result should be a result of a lack of effect, not a lack of methodological rigor. Most importantly, we expect replication studies to clearly point out the artifacts upon which the study is built, and to provide the links to all the artifacts in the submission (the only exception will be given to those papers that replicate the results on proprietary datasets that can not be publicly released). Submission Instructions Submissions must be original, in the sense that the findings and writing have not been previously published or under consideration elsewhere. However, as either replication studies or negative results, some overlap with previous work is expected. Please make clear in the paper the overlap with and difference from previous work. All submissions must be in PDF format and conform, at time of submission, to the IEEE Computer Society Format Guidelines: (https://www.ieee.org/conferences/publishing/templates). Authors are strongly encouraged to print the PDF and review it for integrity (fonts, symbols, equations, etc.) before submission, as defective printing can undermine a paper’s chance of success. By submitting to the ISSRE RENE Track, authors acknowledge that they are aware of and agree to be bound by the IEEE Plagiarism FAQ. In particular, papers submitted to the RENE track must not have been published elsewhere and must not be under review or submitted for review elsewhere whilst under consideration for ISSRE 2026. Contravention of this concurrent submission policy will be deemed a serious breach of scientific ethics, and appropriate action will be taken in all such cases. To check for double submission and plagiarism issues, the chairs reserve the right to (1) share the list of submissions with the PC Chairs of other conferences with overlapping review periods and (2) use external plagiarism detection software, under contract to the IEEE, to detect violations of these policies. Submissions to the RENE Track can be made via the ISSRE RENE track submission site： https://easychair.org/conferences?conf=issre2026 . Submission Length: The ISSRE RENE Track accepts submissions of two lengths: (1) New replication studies and new descriptions of negative results should have a length of up to 10 pages, plus 2 pages which may only contain references. (2) Negative results documented during the preparation of previously published work by the authors should be described in up to 5 pages, plus 1 page, which may only contain references (e.g., as previously mentioned, authors of a published paper can document negative results they obtained while working on it, such as methodologically sound solutions that did not work). Important note 1: Both types of papers (replication and negative results) will be included as part of the main conference proceedings. Important note 2: The RENE track does not follow a double-anonymous review process. Publication and Presentation Upon notification of acceptance, all authors of accepted papers will receive further instructions for preparing the camera-ready versions of their submissions. If a submission is accepted, at least one author of the paper is required to have a full registration for ISSRE 2026, attend the conference, and present the paper in person. All accepted papers will be published in the conference electronic proceedings. The presentation is expected to be delivered in person, unless this is impossible due to travel limitations (e.g., related to health or visa). Details about the presentations will follow the notifications. The official publication date is the date the proceedings are made available in the IEEE Digital Libraries. The official publication date affects the deadline for any patent filings related to published work. Purchases of additional pages in the proceedings are not allowed. Important Dates (AoE) • Submission deadline: July 5, 2026 • Notification of acceptance: August12 29, 2026 • Camera-ready copy submission: August 19, 2026 • Author registration deadline: August 19, 2026 Organisation General Chairs • Leonardo Mariani, University of Milano - Bicocca, Italy • George A. Papadopoulos, University of Cyprus, Cyprus Program Coordinator • Roberto Natella, GSSI, Italy Research Program Committee Chairs • Domenico Cotroneo, UNC Charlotte, USA • Jie M. Zhang, King's College London, UK Industry Program Chairs • Jinyang Liu, Bytedance, USA • Sigrid Eldh, Ericsson AB, Sweden Workshop Chairs • Georgia Kapitsaki, University of Cyprus, Cyprus • August Shi, The University of Texas at Austin, USA Doctoral Symposium Chairs • Stefan Winter, LMU Munich, Germany • Lili Wei, McGill University, Canada Fast Abstract Chairs • Luigi Lavazza, University of Insubria, Italy • Yintong Huo, SMU, Singapore JIC2 Chair • Helene Waeselynck, LAAS-CNRS, France Publicity Chairs • Allison K. Sulivan, The University of Texas at Arlington, USA • Jose D'Abruzzo Pereira, University of Coimbra, Portugal Publication Chairs • Sherlock Licorish, Otago Business School, New Zealand • Maria Teresa Rossi, GSSI, Italy Artifact Evaluation Chairs • Naghmeh Ivaki, University of Coimbra, Portugal • Fumio Machida, University of Tsukuba, Japan Diversity and Inclusion Chair • Eleni Constantinou, University of Cyprus, Cyprus Financial Chair • Costas Pattichis, University of Cyprus, Cyprus Web Chairs • Michalis Ioannides, Easy Conferences LTD • Elena Masserini, University of Milano - Bicocca, Italy Registration Chair • Easy Conferences LTD

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Call for Papers: PoliticalNLP 2026 (LREC 2026 Workshop)
by Wajdi Zaghouani 31 Jan '26

31 Jan '26

We invite submissions to PoliticalNLP 2026, the 3rd Workshop on Natural Language Processing for Political Sciences, co-located with LREC 2026. The workshop will take place in Palma de Mallorca, Spain, at the Palau de Congressos de Palma. Theme for 2026 Trust, Transparency and Generative AI in Political Discourse Analysis Large language models and generative AI are increasingly shaping political communication, public opinion, and democratic processes. PoliticalNLP 2026 provides an interdisciplinary forum to examine these developments critically and responsibly, at the intersection of NLP, political science, law, and the social sciences. Topics of interest include, but are not limited to • Trustworthy, explainable, and fair NLP for political data • Bias, misinformation, and ethical risks of LLMs • Multilingual and cross cultural political NLP • Generative AI for policy analysis and deliberative democracy • Reproducibility, transparency, and responsible AI practices • Datasets, tools, and resources for political and civic technologies Important dates • Paper submission (long and short): 16 February 2026 • Notification: 11 March 2026 • Camera ready: 30 March 2026 • Workshop: 11 to 12 May 2026, or 16 May 2026 (final date to be confirmed by LREC) Proceedings Accepted papers will appear in the LREC 2026 Workshop Proceedings. Submission and CFP Full Call for Papers and details: https://sites.google.com/view/politicalnlp2026 Submission is electronic via the Softconf START system: https://softconf.com/lrec2026/PoliticalNLP2026/ Best regards, PoliticalNLP 2026 Organizer -- Wajdi Zaghouani, Ph.D. Associate Professor in Residence, Communication Program Northwestern Qatar | Education City T +974 4454 5232 | M +974 3345 4992 [cid:image001.png@01DB0DA7.8D0D9A20]

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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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