Call for Papers: LM Playschool (LMP 2026)
Improving Language Models through Learning from Dialogue Interaction
Co-located with EMNLP 2026 — 24-29 October 2026, Budapest
Website: https://lm-playschool.github.io/
The LM Playschool Workshop (LMP 2026) invites submissions exploring the frontier of language agents that learn, adapt, and improve through situated interaction. We focus on conversational, collaborative, goal-oriented, and multi-turn environments—moving beyond static training and evaluation datasets to explore whether interactive learning can yield more data-efficient, robust, and adaptable language agents.
💡 WORKSHOP VISION
LMP 2026 aims to bridge the gap between three ongoing research trends:
1. Game-based Benchmarking (functional linguistic competence).
2. Machine Language Acquisition (social interaction vs. massive text observation).
3. Interactive Learning Signals (communicative success vs. token-level rewards).
🎯 TOPICS OF INTEREST
We welcome original research and work-in-progress on:
* Architectures and training regimes for interactive agents.
* Intrinsic rewards and learning signals (RL from game-state success).
* Benchmarking via dialogue games.
* Data efficiency and social interaction.
* Social cognition and Theory of Mind in interactive systems.
* Human-agent collaboration and coordination.
* Embodied interactive agents.
* Communicative and perceptual grounding.
🏆 THE LM PLAYSCHOOL CHALLENGE (SHARED TASK)
LMP 2026 will feature a new shared task: post-training LLMs to master communicative skills in unseen dialogue games while retaining original language capabilities. Rules and settings will be announced soon on our website!
📝 SUBMISSION TRACKS
We welcome either long or short submissions for the following tracks:
1. Challenge track: Technical reports for the LM-Playschool challenge (archival).
2. Paper-only track: Work-in-progress (archival or non-archival) or recently published papers (non-archival).
📅 IMPORTANT DATES
* Starter pack release: Late March 2026
* ARR paper submission deadline: May 25, 2026
* Challenge submission deadline: July 10, 2026
* Direct paper submission deadline (challenge track and paper-only track): July 17, 2026
* Notification of acceptance: August 20, 2026
* Camera ready due: September 20, 2026
* Workshop at EMNLP’26 in Budapest: October 24-29, 2026 (Budapest)
For more information, visit our website: https://lm-playschool.github.io/
We look forward to your submissions!
The LMP 2026 Organizing Committee:
Raffaella Bernardi, Raquel Fernández, Mario Giulianelli, Sherzod Hakimov, Alexander Koller, Dieu-Thu Le, Oliver Lemon, Davide Mazzaccara, Sabrina McCallum, David Schlangen, Alessandro Suglia.
2nd Call for Papers
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: 15 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
Appel : Journée d'étude « IA et découvrabilité scientifique : enjeux pour la francophonie »
Jeudi 30 avril, Montréal, Canada
**Date limite de réponse : 4 avril 2026**
https://dcsf.cirst.ca/journees-ia-decouvrabilite-appel/
Créée en 2024 par le Fonds de recherche du Québec, la Chaire de recherche du Québec sur la découvrabilité des contenus scientifiques en français (DCSF) s'intéresse aux conditions d'accès, de diffusion et d'usage des savoirs scientifiques en français. Elle étudie les pratiques de publication et les outils technologiques qui influencent la découvrabilité des contenus. Elle développe des solutions pour infléchir le recul de l'usage du français en recherche et pour bonifier les capacités de découverte des principales plateformes de diffusion de contenus scientifiques en français utilisées au Québec.
En soutenant des stratégies et des outils adaptés, la Chaire vise ainsi à renforcer durablement la présence du français dans les communautés de recherche.
________________________________
La journée d’étude « IA et découvrabilité scientifique : enjeux pour la francophonie », organisée le 30 avril 2026, propose une réflexion collective sur les effets des outils d’intelligence artificielle dans la circulation des savoirs scientifiques en français.
Des tables rondes, des présentations, une session de posters et un atelier pratique permettront d’examiner les enjeux de l’IA pour la recherche francophone : promesses et limites de l’IA générative, biais linguistiques et sociaux des modèles multilingues, enjeux de souveraineté des données et propriété intellectuelle, standardisation du savoir.
Cette journée entend ouvrir un espace de débat sur l’avenir de la publication scientifique en français et identifier des leviers d’action pour renforcer la découvrabilité des contenus francophones dans les environnements numériques contemporains. Outre la consolidation d’un réseau de recherche interdisciplinaire, cette journée a pour objectif de favoriser l’identification de pistes de recherche sur les transformations induites par l’IA dans la circulation des savoirs scientifiques en français.
Appel à présentations
Public visé
Personnes utilisatrices (journalisme, communication scientifique, milieux communautaires, etc.), communauté de recherche (IA, communication, sciences de l’information, sciences humaines et sociales, études linguistiques, etc.).
Format
Communication de 15 minutes + 5 minutes de questions.
Participation en mode hybride (en personne ou à distance).
Thématiques
*
Biais linguistiques et sociaux des modèles multilingues
*
Standardisation du savoir et biais d’indexation
*
Secteur privé, propriété intellectuelle et souveraineté des données
*
Place de la francophonie (Afrique, Europe, Québec, etc.) dans les modèles d’IA
*
Recherche documentaire : les LLM face aux moteurs de recherche
*
Découvrabilité scientifique et vulgarisation
*
Publication scientifique en français (enjeux globaux et responsabilités locales)
*
Les propositions hors de ces thèmes mais en cohérence avec la thématique générale des journées sont les bienvenues.
Soumission
Un seul document pdf contenant :
*
Titre
*
Auteur.e.s
*
Affiliation.s
*
Résumé (250 mots)
*
Courte biographie
Appel à posters
Public visé
Personnes utilisatrices (journalisme, communication scientifique, milieux communautaires, etc.), personnes étudiantes de cycles supérieurs, postdoctorantes.
Format
Session posters de 45 minutes à 1 heure.
Présentation sur place. Si vous souhaitez présenter un poster à distance, merci de nous contacter.
Poster au format A0.
Thématiques
Les posters peuvent porter sur tous les enjeux en lien avec l’IA, la recherche d’information, la traduction, la publication scientifique, la découvrabilité ou les langues de diffusion de la science.
Soumission
Un seul document pdf contenant:
*
Titre
*
Auteur.e.s
*
Affiliation.s
*
Résumé (250 mots)
*
3 à 5 mots-clés
Pour les personnes étudiantes : cycle d’étude et stade de la recherche (exploratoire, résultats préliminaires, finalisée)
Modalités générales
*
Langue des soumissions et des communications : français et anglais
*
Envoi des propositions : chaire.dcsf(a)proton.me
*
Date limite : 4 avril 2026
Les propositions seront évaluées au fur et à mesure de leurs réceptions. Aucune contribution ne sera évaluée après le 4 avril.
Les communications feront l’objet d’une captation vidéo et d’une valorisation sur le site de la Chaire.
HUMIC – Humans and Machines in Conversation: Linguistic, Social and Relational Perspectives on Conversational AI
https://www.ias.surrey.ac.uk/event/humic-humans-and-machines-in-conversatio…
University of Surrey | In-person Workshop
16th June 2026
As generative AI and large language models reshape how we interact with chatbots, voice assistants and conversational agents, HUMIC focuses on the linguistic, social and relational dimensions of these technologies—areas often overlooked in technical development. HUMIC<https://www.ias.surrey.ac.uk/event/humic-humans-and-machines-in-conversatio…>, led by Dr. Doris Dippold and supported by the Surrey Institute for Advanced Studies, the BAAL Special Interest Group ‘Humans, Machines, Languages’ and the Surrey Institute for People-Centred AI, aims to foster interdisciplinary dialogue and connect academic insights with industry practice. Such insights are vital for developing conversational technologies that are context-aware, socially responsive, and cater for their users’ rapport needs.
We invite contributions that explore the complex interplay between humans and machines with reference to these factors. We welcome submissions from researchers working across the disciplines, for example but not limited to linguistics, psychology, sociology, natural language processing, UX research, and conversation design. Submissions may focus on any domain. We particularly welcome submissions from industry, focusing for example on common challenges and practices in designing conversational systems with linguistic, social and relational perspectives in focus.
During the workshop, participants will be invited to participate in a collaborative session. The session will encourage the generation of new research ideas and explore how research can respond to industry challenges. Selected works resulting from this workshop will be considered for a potential special issue.
Keynote Speakers:
* Maaike Groonewege (ConvoCat, Netherlands)<https://www.linkedin.com/in/maaikegroenewege/?originalSubdomain=nl> – Linguist and Conversation Designer
* Bettina Migge (University College Dublin, Ireland)<https://people.ucd.ie/bettinamigge> – Language and AI Technology
* Christian Hildebrand (University of St Gallen, Switzerland)<https://www.ibt.unisg.ch/team/christian-hildebrand/> – AI and Language in Consumer Behaviour
We invite 300-word proposal on topics related to the workshop. Themes of interest include, but are not limited to:
* Linguistic and pragmatic dimensions of human-machine dialogue
* Social and relational dynamics in conversational AI, including rapport-building, empathy and trust
* Designing inclusive and accessible conversational systems that account for the needs of diverse users (linguistic, cultural, neurodiverse)
* Linguistic choices and their role in shaping user expectations, satisfaction, engagement and decision-making
* Evaluation methods and metrics for linguistic, social and relational outcomes in human–machine interaction (qualitative, quantitative, or mixed-methods)
* Model training and fine-tuning strategies for enhancing linguistic, social and relational outcomes in human–machine interaction.
* Interdisciplinary and academic-industry collaboration in the development of linguistically, socially and relationally aware conversational technologies
Accepted submissions will be assigned to oral or poster presentation formats according to the mode of presentation best suited to their content.
Submission Details:
* Abstract length: 300 words (excluding title, authors and references)
* Deadline: 16th March 2026
* Notification of acceptance: 27th April 2025
* Submission: HUMIC – Humans and Machines in Conversation<https://forms.office.com/e/gyLXEs9QFi>
ORGANISERS
Dr Doris Dippold<https://www.surrey.ac.uk/people/doris-dippold>, Literature and Languages, University of Surrey
Dr Fabio Fasoli<https://www.surrey.ac.uk/people/fabio-fasoli>, School of Psyschology, University of Surrey
Dr Di Fu<https://www.surrey.ac.uk/people/di-fu>, School of Psychology, University of Surrey
Dr Richard Green<https://www.surrey.ac.uk/people/richard-green>, School of Health Sciences, University of Surrey
Assistant Professor Amal Haddad<https://www.ugr.es/personal/amal-haddad-haddad>, University of Granada
Prof Constantin Orasan<https://www.surrey.ac.uk/people/constantin-orasan>, Literature and Languages, University of Surrey
Dr Valentina Pitardi<https://www.surrey.ac.uk/people/valentina-pitardi>, Strategy, Marketing and International Business, University of Surrey
---
Prof Constantin Orăsan
Professor of Language and Translation Technologies
Centre for Translation Studies<https://www.surrey.ac.uk/centre-translation-studies>
Personal page: https://www.surrey.ac.uk/people/constantin-orasan
Office: 06LC03, Phone: +44 (0) 1483 68 4115
Library and Learning Centre, University of Surrey, Guildford, Surrey, GU2 7XH, UK
***Apologies for cross-posting***
Website: https://blog.sbb.berlin/hip2026/
Submission deadline: 22 May 2026 (Anywhere on Earth)
Submission link: https://cmt3.research.microsoft.com/HIP2026
Workshop: 3 September 2026
Venue: Vienna, Austria
> Description
The HIP workshop brings together researchers working with historical documents and intends to be complementary and synergistic to the work in analysis and recognition featured in the main sessions of ICDAR, the premier international forum for researchers and practitioners in the document analysis community. It is the eighth workshop dedicated to this topic, following HIP’11 in Beijing, HIP’13 in Washington, HIP’15 in Nancy, HIP’17 in Kyoto and HIP’19 in Sydney, HIP’21 in Lausanne and HIP’23 in San José.
The workshop is planned for 1½-days with oral presentations on September 3rd, and an excursion (to be confirmed) on September 4th. Each submission will undergo peer-review and distinguished submissions will be presented orally and included for publication in the official ICDAR proceedings with LNCS.
Recent advances in generative AI, including foundation models for vision and language, open new opportunities for restoration, transcription, and content extraction from historical documents, while raising important questions about reliability and efficiency. The workshop welcomes contributions using all methodological approaches, from classical techniques to machine learning and generative models.
Workshop topics include (but are not limited to):
Imaging and Image Acquisition
* Imaging for fragile material
* Multispectral imaging
* Camera-based/non-invasive acquisition
* Case studies/applications
Digital Archiving Considerations
* Compression issues
* Measuring essential resolution (colour, spatial) and metadata
* Modelling of document image degradation
* Historical Collections
* Military records, personal journals, church records, medieval manuscripts, etc.
* Scientific, technical and educational documents
* Government archives, documents from the world cultural heritage, multi-language
Document Restoration/Improving readability
* Removing or minimizing damages, defects, ink-bleed
* Completing and filling in missing pieces based on context, prior knowledge
* Machine-learning algorithms for enhancement based on example images
* Interactive tools from a user viewpoint
* Learning from user-directed image enhancement
Document Content Acquisition and Information Extraction (within the context of historical documents)
* Automated or semi-automated transcription (OCR, OLR)
* Machine-learning algorithms for content extraction, including recurrent neural networks, auto-encoders, transformers, and unsupervised feature learning
* Content recognition based on surrounding and supporting context
* Annotation
* Evaluation metrics and methods
* Ontologies for modelling historical document content
* Content-based retrieval
Family History Documents and Genealogies
* Personal, Family, National and Historical Collections of Family Genealogy and Histories
* Extracting and linking names, dates, places, etc.
* Extracting, linking and piecing together personal and family histories and narratives
* Discovering historical social networks
Automated Classification, Grouping and Hyperlinking of Historical Documents
* Style identification (of printed text/handwriting, dating or author identification)
* Searching for Documents over the Internet
* Web-based navigation within/among document images
* Search/query, retrieval, summarization or condensation of document images
* Document collecting, clustering, linking and analysis technologies
* Parallel tagging of images, transcripts, and other document layers
Digital Humanities applications of document analysis and recognition
* Computer Vision for Computational History
* Digital methods and tools for the study of historical documents
* Crowdsourcing
Artificial Intelligence and Machine Learning for historical documents
* VLMs and LLMs for analysis and recognition of historical source materials
* Training, fine-tuning and evaluation of specialized AI models
* Prompt strategies for historical data and contexts
Visit <https://blog.sbb.berlin/hip2026/> HIP past editions’ program<https://blog.sbb.berlin/hip2026/> for more information.
For work focusing on handwriting/paleography, we recommend you have a look at IWCP: 4th International Workshop on Computational Paleography<https://icdar2026.org/index.php/workshops/>.
> Submission instructions:
Submissions are received until 22 May 2026 (Time zone: Anywhere on Earth) via CMT<https://cmt3.research.microsoft.com/HIP2026> and undergo review by the members of the Program Committee.
Submissions must follow the ICDAR submission guidelines and template<https://icdar2026.org/index.php/paper-submission-instruction/> provided. Acceptance notifications will be sent out 22 June 2026.
> Important dates:
* Submission Deadline: 22 May 2026
* Acceptance Notification: 22 June 2026
* Camera Ready: 29 June 2026
* Workshop: 3 September 2026
With best regards,
HIP'26 Organisers
---
Clemens Neudecker (General Chair)
Apostolos Antonacopoulos (HIP Series Chair)
Christian Clausner (Program Chair)
Maud Ehrmann (Program Chair)
Kai Labusch (Publication Chair)
Postdoctoral position at the Institute for Logic, Language and Computation
(ILLC) at the University of Amsterdam, Netherlands
Salary: EUR 3.546 - EUR 5.538 gross per month
Closing date: 15 March 2026
We have an open postdoctoral position in natural language processing (NLP).
The focus of the project is on the development of methodologies for
multilingual NLP and alignment of large language models. We welcome
applications from candidates with a PhD in NLP or Machine Learning and an
interest in AI alignment. The position is for three years. The expected
start date is September 2026, but there is some flexibility.
For further information and to apply:
https://werkenbij.uva.nl/en/vacancies/postdoctoral-researcher-in-natural-la…
For any questions, please send an email to e.shutova(a)uva.nl
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/ [1]
Last Call for Papers
*** Extended Submission Deadline 12 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/ [2]) 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 [3]
Word:
https://nlpaics2026.gplsi.es/wp-content/uploads/2025/11/NLPAICS2026_Proceed…
[4]
Papers should be submitted through Softconf/START using the following
link: https://softconf.com/p/nlpaics2026/user/ [5]
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): 12 April 2026
* Reviewing process: 13 April 2026 - 10 May 2026
* Notification of acceptance: 11 May 2026
* Camera-ready due: 25 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_ [6]).
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/ [7] and will be updated on a regular
basis. For further information, please email nlpaics2026(a)dlsi.ua.es
Registration will open at the end of March 2026.
Links:
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[1]
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https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmbzuai.ac…
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https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsoftconf.…
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Dear colleagues,
we are offering 2 PhD positions at Ruhr University Bochum which require proficiency in German, therefore the following description is posted in German only:
Im SFB 1475 „Metaphern der Religion“ sind vorbehaltlich der Finanzierung durch die DFG vom 01.07.2026 bis 31.12.2029 zwei Doktorandenstellen (TV-L E13, 75%) in der Korpus- bzw. Computerlinguistik an der Ruhr-Universität Bochum zu besetzen,
1. Das Teilprojekt C06 „Frauen und Männer, Aristokraten und Bürger: Eine soziobiografische Perspektive auf Metaphern“ untersucht schwerpunktmäßig den Einfluss soziobiografischer Faktoren der Autor:innen oder Adressat:innen auf die Metaphorik, z.B. welche Quelldomänen bei weiblichen vs. männlichen Adressaten in frühneuhochdeutschen Leichenpredigten besonders häufig vorkommen. Das Projekt verfolgt einen Mixed-Methods-Ansatz, der manuelle Annotationen und eine tiefe qualitative Analyse mit einer korpusbasierten statistischen Analyse kombiniert. Projektleiterin ist Prof. Stefanie Dipper (stefanie.dipper(a)rub.de).
2. Im Teilprojekt C07 „Morgenglanz der Ewigkeit: Formbasierte Eigenschaften von Metaphern in Gesangbuchliedern und anderen religiösen Texten“ geht es um formbasierte, d.h. syntaktische und distributionale, Aspekte von Metaphern im Deutschen, die in der bisherigen Forschung unterrepräsentiert sind. Auf Basis manueller und (halb-)automatischer Annotationen von protestantischen und katholischen Kirchenliedern werden z.B. syntaktische Relationen innerhalb von Metaphern sowie deren Beitrag zum metaphorischen Mapping zwischen Quell- und Zielebene untersucht. Projektleiterinnen sind Prof. Stefanie Dipper (stefanie.dipper(a)rub.de) und Dr. Ronja Laarmann-Quante (ronja.laarmann-quante(a)rub.de).
Weitere Informationen zu den Aufgaben und dem gewünschten Profil sowie zur Bewerbung hier:
C06: https://jobs.ruhr-uni-bochum.de/jobposting/c79337c04d7f9c72b0a63f6ebf83f871…
C07: https://jobs.ruhr-uni-bochum.de/jobposting/a2542d134f0e602595f35509f3167dd8…
[Apologies for cross-posting]
The 6th iteration of the NALOMA (Natural Language Meets Logic and Machine Learning) workshop
invites submissions on any (theoretical or computational) aspect
of hybrid methods concerning Natural Language Understanding and Reasoning (NLU&R).
The topics include but are not limited to:
- Hybrid NLU&R systems that integrate logic-based/symbolic methods with neural networks
- Explainable NLU&R (with structured explanations)
- Opening the black-box of deep learning in NLU&R
- Downstream applications of hybrid NLU&R systems
- Probabilistic semantics for NLU&R
- Comparison and contrast between symbolic and deep learning work on NLU&R
- Creation, criticism, refinement, and augmentation of NLU&R datasets
- (Dis)Alignment of humans and machines on NLU&R tasks
- Addressing inherent human disagreements in NLU&R tasks
- Generalization of NLU&R systems
- Fine-grained evaluation of NLU&R systems
NALOMA accepts archival papers (long, short, and demo) to appear in the ACL anthology proceedings and non-archival extended abstracts.
The workshop is co-located with ESSLLI (https://2026.esslli.eu), 3-7 August, Prague, Czech Republic.
The submission deadline is 30 April.
Please visit https://naloma.github.io for more details about the call.
NALOMA PC chairs,
Lasha Abzianidze and Hitomi Yanaka
Promoting machine translation and GenAI translation literacy: an
approach towards professional translation and interpreting labour market
University of Granada, Spain
2-3 June 2026
https://sites.google.com/view/humans-machines-language/events/2026/event-1-…
The labour market associated with most careers has evolved rapidly in
the recent years, requiring a workforce with extensive digital skills.
The same applies to the current landscape of the translation profession,
which is also being reshaped by the forces of Artificial Intelligence
(AI), digitisation and the applications of Natural Language Processing
(NLP).
Furthermore, recently, the most frequent discussion among academics and
industry revolves around the danger of AI encroaching on the profession
of translators, terminologists and interpreters, putting their job
positions at risk, or even causing the eventual disappearance of
translation careers. Some universities warn of the risk of terminating
translation career paths due to the sharp decline in the number of
students or the demise of translation careers as an independent field of
study. Additionally, the hypothesis that technology is more efficient
than humans in performing translation and interpreting tasks is becoming
a threat itself, leading to a sharp decline in the number of students
enrolled in translation and foreign languages careers worldwide. In most
universities, this panorama is the case in most translation careers, and
Spanish universities are no exception.
One of the solutions to this problem is machine translation literacy,
GenAI literacy and reducing the gap between technological developments
and the technological competencies of translation and interpreting
teachers.
This event aims at offering solutions and training translation and
interpreting teachers in this direction, in a way that they know how to
follow the pace of technology and acquire basic technological notions,
so that they keep up with the high quality teaching, required to keep a
good ranking for their universities, provide excellent teaching to their
students, and be part of the solution to protect translation careers
from a humanistic point of view.
Rationale and objectives
The current landscape of translation education faces a critical
juncture. While the profession is being reshaped by Artificial
Intelligence (AI) and Natural Language Processing (NLP) technologies,
the velocity of technological advancement has outpaced the capacity of
educators to integrate these tools effectively into their teaching. This
gap manifests in three interconnected problems.
First: Digital literacy deficit
Research on university students' perceptions of GenAI-assisted
translation reveals concerns about declining translation creativity,
independent thinking, and a notable deficiency in digital literacy among
both educators and learners. Many translation educators lack training in
how these tools function, their limitations, and appropriate pedagogical
approaches for teaching with them. The European Association for Machine
Translation's 2024 Translation Education Week emphasized that
transversal skills, particularly AI literacy, data quality assessment,
and communication abilities, are now more crucial than ever in
translator education.
Second: Disconnection between academic training and labour market
realities
While general content translation is increasingly automated, specialized
domains requiring nuanced language skills, cultural adaptation, and
subject-matter expertise remain essential human territories. The
translation industry has transitioned to a hybrid model where Machine
Translation Post-Editing (MTPE) offers 30-50% cost reductions while
maintaining accuracy, yet many graduates lack training in these
workflows. Studies demonstrate that solid grammatical proficiency
combined with MT literacy produces significantly higher quality
translations than either factor alone, highlighting the need for
integrated training approaches.
Third: Insufficient understanding of quality distinctions and ethical
responsibilities
The widespread adoption of tools like Google Translate and DeepL by
professionals and students often occurs with relatively little
reflection, leading to potential risks in high-stakes contexts such as
legal documents, medical translations, or patient forms where errors can
have severe consequences. Educators must develop "MT literacy
consultant" capabilities, the ability to assess when and how MT can be
appropriately deployed, and to advise others on its responsible use.
Objectives
This event addresses these challenges through three core objectives:
1. Bridging the Technological Gap
We will provide practical training in basic MT and GenAI literacies,
equipping educators with foundational understanding of how neural
machine translation, large language models, and generative AI tools
function. This includes hands-on experience with current technologies,
understanding their capabilities and limitations, and learning
pedagogical strategies for integrating them into curricula.
2. Aligning Education with Labour Market Demands
We will present current industry trends and expectations, helping
educators understand the evolution from traditional translation to
AI-augmented workflows. This includes exploring post-editing skills,
quality assessment frameworks, and specialized domain knowledge that
differentiate human expertise from automated output. By understanding
what employers seek, professionals who can work effectively alongside AI
while maintaining quality standards, educators can better prepare
graduates for meaningful careers.
3. Promoting Ethical and Quality-Conscious Practice
We will emphasize the critical importance of understanding translation
quality gradations and the responsibilities associated with different
contexts. This includes teaching students to assess risk levels
(high-stakes vs. low-stakes scenarios), recognize when human expertise
is non-negotiable, and communicate the value of professional translation
to clients and the public. We will also address environmental and social
implications of translation choices, fostering responsible professional
citizenship.
Added Value
The added value of this event lies in its practical, forward-looking
approach. Rather than resisting technological change or uncritically
embracing it, we advocate for informed integration, recognizing AI as a
powerful tool that augments rather than replaces human expertise. By
equipping educators with confidence and competence in these areas, we
strengthen the entire educational ecosystem: better-prepared teachers
lead to better-trained students, who in turn become the skilled
professionals needed in today's translation market.
Furthermore, this initiative contributes to the broader mission of
protecting and promoting translation studies as a vital humanistic
discipline. By demonstrating how translation professionals can thrive in
an AI-enhanced landscape, we empower educators to attract and retain
students with realistic, compelling visions of rewarding careers.
We welcome any contributions related to this timely topic.
Presentation format: Talk (20 mins), non-archival.
Selection for places will be made by the conference scientific committee
(blind peer review).
SUBMIT AN ABSTRACT
https://docs.google.com/forms/d/1xrgG09Xnu95cAPQlXTLrSGDste08qKhETQ8vLYN-gY…
[1]
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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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