Registration open!!
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GRACE@IberLEF2026: https://www.codabench.org/competitions/13280/
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****We apologize for multiple postings of this e-mail****
GRACE@IberLEF2026 announces the first edition of a novel task on Argument Mining shared task in Spanish connecting Explainable AI and Evidence-Based Medicine across clinical trials and medical licensing examinations.
⚗️ Argument Mining
Argument Mining automatically extracts claims and evidence from clinical text and reveals how they support or challenge each other, enabling transparent, traceable clinical reasoning.
🌍 Spanish, First
GRACE is the first Argument Mining task in Spanish for the clinical domain, filling a key gap in multilingual biomedical NLP with fine-grained, entity-level annotations.
Track 01
🔬 Clinical Trial Evidence & Argumentation
This track focuses on abstracts of Randomized Controlled Trials (RCTs). Their standardized design, contrasting an intervention with a control group, provides a transparent path from data to conclusions, making argumentative components more accessible to automated systems.
Goal: Identify argumentative components (claims and premises) and detect support/attack relations at the sentence level.
Track 02
🩺 Clinical Case Reasoning (MIR)
This track uses cases from the MIR (Médico Interno Residente) exam, Spain's national medical specialization test. Each instance pairs a dense clinical narrative with five competing diagnostic or treatment options, only one of which is correct.
Goal: Extract fine-grained evidence spans that justify the correct option while refuting the incorrect alternatives.
📅 Important Dates
📂 Release of Training & Dev Sets March 18
🚀 Official Test Set Release April 22
⏰ Deadline for Result Submission May 3
📊 Publication of Results May 8
📄 System Paper Submission May 24
✅ Notification of Acceptance June 17
🎤 IberLEF Workshop (at SEPLN) September 22
(apologies for cross-postings)
Joint CODI CRAC 2026 Workshop: call for fast-track papers
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July 2026 - ACL 2026 - San Diego, USA
Deadline for CODI CRAC fast-track papers: May 1st 2026
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CODI-CRAC is officially endorsed by SIGDial, the ACL Special Interest Group on Discourse and Dialogue. More information about the workshop : <https://sites.google.com/view/codi-crac2026/home> https://sites.google.com/view/codi-crac2026/ �
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CODI-CRAC 2026 invites you to submit your accepted or rejected conference submission as a fast track paper in either the archival or non-archival track:
* We invite presentations of papers accepted at another main conference, workshop or journal. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings (non-archival). �
* We also invite submissions of papers rejected at another main conference, workshop or journal. The reviews should be submitted along with the paper. If accepted, the papers will be presented during the workshop and included in the proceedings (archival). �
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Submission website
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All submissions must be anonymous and follow the ACL 2026 formatting instructions described here: <https://aclrollingreview.org/cfp> https://aclrollingreview.org/cfp.
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Please indicate the type “non archival” if your paper has been accepted at another conference.
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Use the following link: <https://softconf.com/acl2026/codi-crac2026/> https://softconf.com/acl2026/codi-crac2026/ �
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Topics of interest
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We welcome papers on symbolic and probabilistic approaches, corpus development and analysis, as well as machine and deep learning approaches to discourse. We appreciate theoretical contributions as well as practical applications, including demos of systems and tools. The goal of the workshop is to provide a forum for the community of NLP researchers working on all aspects of discourse.
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Topics of interest include, but are not limited to:
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- discourse structure
- discourse connectives
- discourse relations
- long-form question answering
- annotation tools and schemes for discourse phenomena
- corpora annotated with discourse phenomena
- discourse parsing
- cross-lingual discourse processing
- cross-domain discourse processing
- anaphora and coreference resolution
- event coreference
- argument mining
- coherence modeling
- discourse and semantics
- discourse in applications such as machine translation, summarization, etc.
- evaluation methodology for discourse processing
- discourse pretraining tasks
- long-text modeling and generation
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Schedule
Important dates for the workshop are listed below:
* Pre-reviewed fast-track (with reviews, can be accepted or rejected): May 1st �
* Notification of acceptance: May 8, 2026
* Student D&I Grant application: May 19, 2026
* Camera-ready paper due: May 19, 2026
* Pre-recorded video due: June 4, 2026
* Workshop dates: July 3 or 4, 2026
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All deadlines are 11.59 pm UTC -12h ("anywhere on Earth").
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Organizers
- Chloé Braud, CNRS-IRIT
- Christian Hardmeier, IT University of Copenhagen
- Chuyuan Li, � University of British Columbia
- Jessy Li, University of Texas, Austin
- Sharid Loáiciga, University of Gothenburg
- Vincent Ng, University of Texas at Dallas
- Michal Novák, Charles University, Prague
- Maciej Ogrodniczuk, Institute of Computer Science, Polish Academy of Sciences
- Massimo Poesio, Queen Mary University of London and University of Utrecht
- Michael Strube, Heidelberg Institute for Theoretical Studies
- Amir Zeldes, Georgetown University, Washington DC
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To contact the organizers, please send an email to: <mailto:codi-crac-workshop@googlegroups.com> codi-crac-workshop(a)googlegroups.com �
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(apologies for cross-posting; please circulate)
KONVENS 2026 Second Call for Conference Papers
https://konvens2026.uni-hamburg.de/
We are delighted to share the second call for papers with you for Konferenz zur Verarbeitung natürlicher Sprache (KONVENS) 2026, organized under the auspices of the GSCL, the DGfS-CL, the ÖGAI, and SwissNLP. This year’s KONVENS will take place in Hamburg, September 14 – 17 under the special theme “Context Matters: NLP Beyond Text”. The conference will include a diverse program including talks by our two keynote speakers:
* Dr. Valentin Hoffmann, Allen Institute for AI
* Prof. Dr. Barbara Plank, LMU Munich.
We invite the submission of long and short papers featuring substantial, original, and unpublished research on Natural Language Processing and Computational Linguistics, to be archived in the ACL Anthology, as well as abstract submissions that describe research in progress or published elsewhere. Beyond standard research contributions, submissions are welcome that present negative results, survey an area, introduce new resources, articulate a position, report novel linguistic insights obtained using existing computational methods, or reproduce (successfully or not) previous findings.
We welcome the following types of paper submissions:
* Long papers (up to 8 pages plus references), describing original research with substantial new results.
* Short papers and demos (up to 4 pages plus references), including small and focused contributions, work in progress, as well as descriptions of projects, systems and resources.
* Abstracts (1 page, non-archival), which will be presented at the poster session and printed in the proceedings, but which will be non-archival. We especially invite submission on ongoing projects, student projects, past or ongoing bachelor and master theses, ongoing or recently completed PhD theses, and opinion pieces in this category to foster interaction and discussion in our community.
Papers can be submitted either to the main conference track or to the special track “Context Matters”.
Context Matters Track
The widespread use of large language models (LLMs) and other types of language technology in research and real-world applications has fundamentally reshaped how natural language processing (NLP) systems interact with people and their environments. As NLP systems increasingly operate in socially embedded, high-impact settings like search, conversational agents and recommendation systems in business, education, medicine, law, and beyond, it becomes crucial to move beyond text in isolation and to account for the many forms of context that shape language use and interpretation. These include user-related factors (e.g., identity aspects like socio-demographic characteristics and the resulting perspectival differences), cultural and societal context, interaction history, application constraints, and signals from other modalities.
The “Context Matters” track focuses on how different forms of context influence NLP systems, their design, their behavior, and their use. We invite work that studies NLP not as decontextualized text processing, but as situated technology embedded in human, social, disciplinary, and multimodal environments. Here, disciplines and application domains are important not only as areas of use, but as sources of structured contextual knowledge, perspectives, and methodological traditions — particularly from the social sciences and humanities, but also law, education, psychology, economics, and the natural sciences.
In particular, the special theme includes:
* Research that models user- and group-related context, such as identity aspects, socio-demographic variables, cultural background, or perspectival differences, and examines how these factors affect language use, system behavior, or system impact
* Work that draws on or operationalizes concepts from other disciplines like the social sciences and related fields (e.g., social theory, cultural analysis, behavioral perspectives) to better understand linguistic phenomena, system outputs, or evaluation settings
* Research analyzing social, societal, and institutional context, including norms, power structures, and real-world deployment environments, especially with respect to ethics, bias, and societal consequences
* Studies of application context, where domain-specific constraints (e.g., in education, law, public administration, or the natural sciences) shape both language use and system requirements
* Approaches that move beyond text-only processing and integrate multiple modalities (e.g., vision, audio, video, sensor data), with attention to the distinct contextual signals these modalities introduce
* Work incorporating interactional context, such as dialogue history, user intent, and evolving human–AI interaction dynamics
While the modelling component should include language, we especially encourage contributions that treat language as part of a broader contextual ecosystem, aiming toward more grounded, adaptive, and socially aware NLP systems.
Papers must be in English and formatted in accordance with the ACL style sheet and submitted via the submission link :https://openreview.net/group?id=GSCL.org/KONVENS/2026/Conference
Please consider the OpenReview policy for new accounts:
* New profiles created without an institutional email will go through a moderation process that can take up to two weeks.
* New profiles created with an institutional email will be activated automatically.
KONVENS also adopts the ACL policies for submission, review, and citation, the ACL privacy policy, and the ACL code of ethics.
Further information can be found on the conference website:
https://konvens2026.uni-hamburg.de/
Submissions need to be anonymized to ensure double-blind review. However, we allow for pre-prints to be posted any time before or during the review period. We strongly encourage authors to use LaTeX in preparing their document.
Important dates:
30.4.2026 Paper Submission Deadline
12.7.2026 Notification of Acceptance
01.8.2026 Camera-Ready Deadline
14.9. – 17.9.2026 KONVENS in Hamburg
See you in Hamburg!
Your conference chairs,
Chris Biemann, Anne Lauscher, and Heike Zinsmeister
---------------------------
Prof. Dr. Heike Zinsmeister (sie/ihr)
Linguistik des Deutschen / Korpuslinguistik
Universität Hamburg, Institut für Germanistik, Raum C7012
Von-Melle-Park 6, Postfach #15, D-20146 Hamburg
Tel.: +49 (40) 2395-27119
heike.zinsmeister(a)uni-hamburg.de
http://www.slm.uni-hamburg.de/germanistik/personen/zinsmeister.html
Dear all,
The registration to the 2026 edition of the Lectures on Computational Linguistics is open. It will close on May 27, or earlier — as soon as the maximum number of participants (150) is reached.
https://www.ai-lc.it/en/lcl-registration-procedure/
The 2026 edition is organized by the Italian Association of Computational Linguistics (AILC) together with the Free University of Bozen-Bolzano (Faculty of Engineering and Faculty of Education) and EURAC Research Center.
It focuses on Natural Language Processing for the Society, covering topics from Low Resources Languages, Speech and Text, Embodied AI, Interpretability and Small Language Models for education in schools. Featuring frontal classes, evening lectures and hands-on labs, it provides both a high-level overview of the field as well as an introduction to specific topics, and practical experiences.
SPEAKERS
Tutorials:
Barbara Plank (LMU Munich)
Elia Bruni (University of Osnabrück)
Barbara Schuppler (TU Graz)
Evening Lectures:
Julia Hockenmaier (University of Illinois)
Aurelie Herbelot (Denotation UG)
Labs:
Loredana Schettino and Alessandro Vietti (Faculty of Education, UNIBZ)
Leonardo Bertolazzi (University of Trento)
Egon Stemle and Luca Ducceschi (EURAC Research Center)
The detailed programme is available at: https://www.ai-lc.it/en/lectures-2/lectures-2026/program/
Student Presentations
Students wishing to present aspects of their work in the "Student Presentations" sessions are asked to send a 500-word abstract to ailc.lectures(a)gmail.com<mailto:ailc.lectures@gmail.com> by May 16, 2026. Notifications of acceptance will be sent by May 23, 2026.
Scientific Committee
Pierpaolo Basile, University of Studi di Bari Aldo Moro
Raffaella Bernardi, Free University of Bozen-Bolzano
Tommaso Caselli, University of Groningen
Elisabetta Fersini, University of Milano-Bicocca
Elisabetta Jezek, University of Pavia
Local Organizing Committee
Raffaella Bernardi, Faculty of Engineering, Free University of Bozen-Bolzano
Alessandro Vietti, Faculty of Education, Free University of Bozen-Bolzano
Luca Ducceschi, EURAC Research Center
Contacts: ailc.lectures(a)gmail.com<mailto:ailc.lectures@gmail.com>
=======================================================================
Room B1.5.01
Faculty of Engineering
Free University of Bozen Bolzano
NOI Techpark - B. Buozzi 1,
39100 Bozen Bolzano, Italy
Final Call for Papers - StyGenAI Workshop @EAMT 2026
The StyGenAI workshop will take place in conjunction with EAMT 2026
(European Association for Machine Translation) from 15–18 June 2026 at the
Schaumburg Concertzaal in Tilburg, the Netherlands. The workshop will be
part of a vibrant international conference bringing together researchers
and practitioners at the forefront of machine translation and language
technologies. More information about the main conference is available at
https://eamt2026.org/
→ Important Dates
-
Workshop paper submission deadline: 27 April 2026 (there will be no
extension to this deadline)
-
Notification of acceptance: 12 May 2026
-
Camera-ready papers due: 20 May 2026
→ Submission Information
The workshop invites research papers reporting original work. Papers should
be 4–10 pages in length, excluding references. Accepted papers will be
published in the workshop proceedings and made available online via the ACL
Anthology. Submissions must follow the EAMT 2026 formatting guidelines and
templates <https://eamt2026.org/calls-for-papers> and be submitted via the
EasyChair <https://easychair.org/conferences/submission_new?a=35628372>
system. Workshop website:
https://sites.google.com/view/workshopstygenai?usp=sharing
About the workshop:
The advent of Generative Artificial Intelligence has profoundly reshaped
the landscape of translation. Moving beyond traditional machine translation
paradigms, large language models (LLMs) now operate as translation agents
capable of producing linguistically fluent and stylistically complex texts.
As a result, translation is no longer only a matter of accuracy or
adequacy, but increasingly one of style.
As LLMs are adopted for translation tasks, their outputs reveal distinctive
linguistic and stylistic patterns. These patterns differ in subtle but
consequential ways from those found in both human translation and
conventional MT systems. While such differences are often perceived
intuitively by readers and practitioners, they remain underexplored from a
systematic, research-driven perspective.
This evolving scenario raises a set of pressing questions:
-What are the stylistic features of GenAI-produced translations?
-How do they differ from those generated by traditional MT systems?
-And how do they compare to human translations across genres, languages,
and contexts?
StyGenAI is the first workshop dedicated specifically to the study of style
in GenAI-translated content. The workshop aims to bring together
researchers interested in AI translation stylistics, including recurrent
stylistic patterns, departures from human translation style, and the
linguistic, technical, and contextual factors that modulate AI-generated
output. Particular attention is given to the role of text genre, language
pair, and prompt design or prompting strategies in shaping the stylistic
profile of GenAI translations.
The workshop provides a forum for interdisciplinary dialogue at the
intersection of translation studies, computational linguistics, stylistics,
and AI evaluation. Contributions are welcomed from both empirical and
conceptual perspectives, as well as from research that bridges academic
inquiry and professional practice.
The workshop welcomes empirical, methodological, and conceptual
contributions from translation studies, computational linguistics,
stylistics, and related fields.
We invite submissions addressing, but not limited to, the following topics:
-
Stylistic fingerprints of LLM-based translation in comparison with
conventional MT systems and professional human translation
-
The influence of prompting strategies (for example, role prompting,
constraints, zero-shot, one-shot, and few-shot approaches) on stylistic
outcomes
-
Cross-genre analyses of AI translation style in literary, academic,
journalistic, technical, and social media texts
-
Authorial voice and style preservation across languages in
GenAI-mediated translation
-
Language-specific manifestations of machine-like or synthetic stylistic
patterns
-
Methodologies for evaluating stylistic adequacy and stylistic variation
in AI-generated translations
-
Cognitive effort and decision-making in post-editing LLM output for
stylistic quality as opposed to content accuracy
-
Cultural, pragmatic, or discourse-level mismatches introduced by AI
translation choices
-
The handling of irony, humour, voice, and other stylistically marked
devices in GenAI translation
-
Human–AI hybrid workflows for style-sensitive translation tasks
-
Pedagogical approaches to training translators to identify, assess, and
correct AI-generated stylistic patterns
-
Diachronic or longitudinal analyses of stylistic change as LLMs and
prompting practices evolve
--
*Sami Ul Haq (He/Him)*
Doctoral Researcher | ADAPT Centre | McNulty Building (L115) | Dublin City
University | Glasnevin Campus | Dublin, Ireland
Website: https://sami-haq99.github.io/
Email: sami.haq2(a)mail.dcu.ie
<https://sami-haq99.github.io/>
--
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The Second Workshop on Evaluation for Multimodal Generation
Multimodal generation and retrieval systems are increasingly central to
modern information retrieval, powering retrieval-augmented generation
(RAG), multimodal search, recommendation, and knowledge-intensive
applications. Despite rapid progress in multimodal large language models
(MLLMs), robust and principled evaluation of multimodal generation and
retrieval remains a major open challenge for the IR community. This
workshop aims to foster discussions and research efforts by bringing
together researchers and practitioners in information retrieval, natural
language processing, computer vision, and multimodal AI. Our goal is to
establish evaluation methods for multimodal research and advance
research efforts in this direction.
CALL FOR PAPERS
Both long papers and short papers (up to 9 pages and 4 pages
respectively, with unlimited references and appendices) are welcome for
submission.
A list of topics relevant to this workshop (but not limited to):
*
Multimodal retrieval for RAG, Agentic AI, recommendation systems
*
Evaluation of retrieved cross-modal samples, without relying on
augmented generation
*
Multi-aspect evaluation methods capturing inter- and intra-modal
coherence, relevance, grounding, and contextual consistency
*
Benchmark retrieval datasets, evaluation protocols and annotations for
text-image-audio-video-3D generation
*
Automatic and human-centric metrics for informativeness, factuality,
fluency, faithfulness, calibration, and usability for multimodal
generation
*
Methodology for detecting, analysing, and mitigating multimodal bias,
stereotypes, toxicity, and hallucinations
*
Evaluation in multimodal low-resource and multilingual settings,
including culturally aware and cross-lingual metrics
*
Agent-based evaluation of multimodal generation in multi-turn, tool-use,
or iterative editing scenarios
*
Game-theoretic or optimization-based formulations of evaluation
objectives and protocols
*
Evaluation of the generation quality of synthetic multimodal data,
provenance/attribution, and downstream impact on training and deployment
*
Ethical considerations in the evaluation of multimodal text generation,
including bias detection and mitigation strategies
*
Evaluation of Security and Privacy Dimensions in Multimodal Applications
*
SUBMISSION INSTRUCTIONS
For direct paper submission, you are invited to submit your papers in
our OpenReview portal [1]. Papers are required to strictly follow the
SIGIR submission guidelines [2]. We invite both long papers [2] (9
pages) and short papers [3] (4 pages) submissions. All the submitted
papers have to be anonymous for double-blind review. All accepted papers
must be presented at the workshop.
IMPORTANT DATES
*
Mar 25, 2026: Submission Open
*
May 2, 2026: Workshop Paper Direct Submission Deadline
*
May 27, 2026: ARR Commitment Date
*
June 2, 2026: Workshop Paper Notification
*
July 24, 2026: Workshop Day
Note: All deadlines are 11:59 PM UTC-12:00 ("Anywhere on Earth")
More Information: https://evalmg.github.io/#submission [4]
Links:
------
[1] https://openreview.net/group?id=ACM.org/SIGIR/2026/Workshop/EvalMG
[2] https://sigir2026.org/en-AU/pages/submissions/full-papers-track
[3] https://sigir2026.org/en-AU/pages/submissions/short-papers-track
[4] https://evalmg.github.io/#submission
Dear colleagues,
We announce an extension of the submission deadline for CMC2026:
Extended deadline: 22 April
13th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora 2026)
📍 University of Oulu, Finland
📅 27–28 August 2026
🌐 https://cmc2026.org<https://cmc2026.org/>
We invite submissions for CMC-Corpora 2026, the 13th edition of the conference series focusing on corpora and computational approaches to computer-mediated communication and social media.
The conference welcomes research on the development, analysis, and computational processing of CMC and social media corpora, including multimodal and large-scale datasets from contemporary platforms such as messaging apps, social networks, and video-sharing environments.
Submission types
• Short papers (3–5 pages) – oral presentations
• Poster abstracts (max. 300 words) – work-in-progress and demos
Topics include (but are not limited to)
• Development and annotation of CMC and social media corpora
• Sociolinguistic and discourse analysis of online communication
• Multimodal communication and social media data
• Multilingualism and code-switching in digital contexts
• NLP and AI methods for CMC analysis
• Large language models and computational approaches to social media data
Important dates
Submission deadline: 22 April 2026
Notification: 1 June 2026
Conference: 27–28 August 2026
Submission portal
https://www.conftool.net/cmc2026
Full call for papers, templates, and guidelines
https://cmc2026.org<https://cmc2026.org/>
We look forward to your submissions and to welcoming you to Oulu.
The organizing committee
Steven Coats
Maarit Siromaa
Jarkko Toikkanen
Hanne Juntunen
University Lecturer, Docent
English, Faculty of Humanities
University of Oulu
P.O. Box 8000, FI-90014 University of Oulu
Finland
https://cc.oulu.fi/~scoats
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/
*** Due to multiple requests, the submission deadline is extended to 27
April 2026 ***
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
Keynote Speaker
We are delighted to announce that Preslav Nakov from Mohamed bin Zayed
University of Artificial Intelligence (Abu Dhabi)
(https://mbzuai.ac.ae/study/faculty/preslav-nakov/) will be keynote
speaker at NLPAICS 2026.
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 c in an 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 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 in 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. Submissions to the
student workshop can be in the form of both regular and short papers but
will be evaluated separately and will be presented as a separate session
at the conference.
Awards will be offered to the authors of best papers.
Important dates
• Submission deadline (extended due to multiple requests): 27April 2026
• Reviewing process: 28April 2026 – 17 May 2026
• Notification of acceptance: 18 May 2026
• Camera-ready due: 28 May 2026
• Conference camera-ready proceedings ready 5 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)
Programme Committee
• Vivek Kumar, University of Bundeswehr München, Germany.
• Hansi Hettiarachchi, Lancaster University, UK.
• Rui Sousa Silva, University of Porto, Portugal.
• Cengiz Acartürk, Jagiellonian University, Poland
• Lena Podoletz, Lancaster University, UK
• Nasredine Semmar, CEA/University of Paris-Saclay, France
• Sevil Sen, Hacettepe University, Turkey
• Wajdi Zaghouani, Northwest University, Qatar
• Marcos Zampieri, George Mason University, USA
• Jacques Klein, University of Luxembourg, Luxembourg
• Ignatius Ezeani, Lancaster University, UK
• Cengiz Acarturk, Jagiellonian University, Poland
• Matthew Bradbury, Lancaster University, UK
• Paul Rayson, Lancaster University, UK
• Daniel Prince, Lancaster University, UK
• Basil Germond, Lancaster University, UK
• Hongmei He, University of Salford, UK
• Rafael Valencia García, University of Murcia, Spain,
• Angela Almela Sanchez-Lafuente, University of Murcia, Spain
• Eugenio Martínez Cámara, University of Jaén, Spain
• Alfonso Ureña López, University of Jaén, Spain
• Dan Fretwell, Lancaster University, UK
• Sedat Akleylek, University of Tartu, Estonia
• Ozkan Kilic, Cisco Systems Inc., USA
• Ilker Ozcelik, Eskisehir Osmangazi University, Turkey
• Ozgur Ural, Embry-Riddle Aeronautical University, USA
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.
Related events
The conference school will precede the summer school The Paradigm Shift:
From Rules to Models in Natural Language 15, 16 and 17 June 2026
(https://summer-school.gplsi.es).
Further information and contact details
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
--
Amal Haddad Haddad (She/her)
Facultad de Traducción e Interpretación
Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad
Lexicon Research Group |http://lexicon.ugr.es/haddad
Co-Convenor, BAAL SIG 'Humans, Machines,
Language'|https://r.jyu.fi/humala
Event Coordinator, BAAL SIG 'Language, Learning and Teaching'
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Learner Corpus Research Conference (LCR 2026) – Prague, September 16–19 2026
Registration now open for LCR 2026
We are pleased to announce that registration for the Learner Corpus Research (LCR) 2026 conference is now open.
You can find all details and register here:
https://lcr2026.ff.cuni.cz/registration/
Please feel free to share this information with colleagues who might be interested.
We look forward to seeing you there!
Tomáš Gráf
Dear Colleagues,
Call for Evaluation and Benchmarking Track 2026 is out now.
----------------------------------------------------------------------------------------------------
We invite proposals for the Evaluation and Benchmarking Track at FIRE 2026.
FIRE 2026 is the 18th edition of the annual meeting of Forum for
Information Retrieval Evaluation (fire.irsi.org.in
<https://fire.irsi.org.in>). Since its inception in 2008, FIRE had a
strong focus on shared tasks similar to those offered at Evaluation
forums like TREC, CLEF, and NTCIR. The shared tasks should focus on
solving specific problems in the area of information access and, more
importantly, on generating high quality evaluation datasets for the
research community. In line with this objective, this year the FIRE
tracks emphasize selecting tasks that either introduce a new paradigm in
the field or generate a substantial amount of valuable benchmark data
that can support future research and experimentation.
It is not required for the tasks to focus on a specific language, and
they can broadly cover any problem in the fields related (but not
limited) to IR, NLP, multi-modal information access, and ML. However,
the organizers especially encourage proposals for tracks related to
South Asian, African, and Middle Eastern languages. In the past, FIRE
has hosted tracks from Arabic, Persian, German, Russian, and Urdu
languages besides several Indian languages. We aim to continue these
efforts and include more language groups from these regions. For knowing
more about tracks in past FIRE meetings, you can visit fire.irsi.org.in
<https://fire.irsi.org.in>
Informal inquiries can also be sent to the track chairs.
Please include the following details in your proposal:
1. Track name
2. Track description
3. Use case/s
4. Target Audience and number of expected submissions
5. Data(*) (Fair Details)
6. Evaluation plan
7. Timeline: Please try to align with the FIRE conference dates as given
below
8. Organizer/s Details
9. Prior experience in organizing shared task/workshop at relevant venues
*Tentative Timeline*
*5th April, 2026* Track proposals due
*24th April, 2026* Track acceptance notification
*15th May, 2026* Open track websites and release of training data
*15th June, 2026* Test data release
*30th June, 2026* Run submission deadline
*15th July, 2026* Track results declaration
*30th August, 2026* Working notes due
*30th September, 2026* Camera-ready copies of working notes and
overview paper due
*December, 2026 - Dates TBD* FIRE 2026 Conference
Please send these details in a pdf format to clia(a)isical.ac.in with a
copy to majumdar.srijoni(a)gmail.com <mailto:majumbdar.srijoni@gmail.com>,
kripa.ghosh(a)gmail.com and mandl(a)uni-hildesheim.de
(*) We require that after FIRE, the data should be made publicly
available through Information Retrieval Society of India. In case, data
can not be distributed publicly (e.g., Twitter data), a unique
identifier that can be used to recreate the original corpus can be
provided (e.g., tweet ids in case of Twitter data). This disbursal will
be governed by a copyright form, which the users have to sign before
getting the data. A sample form is available at (
fire.irsi.org.in/fire/static/data
<https://fire.irsi.org.in/fire/static/data> ).
In case, it is not preferable/possible for the track organizers to share
the data, please mention this in the proposal with specific concerns.
Exceptions can be made for tracks where data from industry is used or in
case of other serious legal or ethical concerns.
The aim of organizing these tracks at FIRE is to have debates and
discussions on focused topics and give feedback to participants. As a
result, at least one of the track organizers from each track is expected
to attend FIRE and present the overview of track in person. In case of
non-attendance of any of the organizers, the team will not be allowed to
offer a track next year.
We will try to provide student volunteers for support in the proposed
tracks. They will basically be undergraduate students interested in IR
and related fields and can help with corpus creation, evaluation,
correspondence with participants, etc. If you require any such support,
kindly mention that in the track proposals along with the number of
students required.
Hoping to have an enthusiastic response from your end.
*Overall Track Coordinators, FIRE 2026*
Thomas Mandl (Universitat Hildesheim, Germany)
Kripabandhu Ghosh (IISER Kolkata, India)
Srijoni Majumdar (University of Leeds, UK)