CoNLL 2026: 2nd Call for Papers
San Diego, California, United States, July 3-4, 2026 (co-located with ACL)
https://www.conll.org/
NEW: CoNLL 2026 will include online presentations for authors who will not be able to attend the conference in person due to visa related issues.
NEW: Two new topic areas, Computational Usage-Based Grammars, and Language and the Brain.
SIGNLL invites submissions to the 30th Conference on Computational Natural Language Learning (CoNLL 2026). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics and NLP. We welcome work targeting any aspect of language and its computational modeling, including:
Computational Psycholinguistics, Cognition and Linguistics
Computational Usage-Based Grammars (e.g., Construction Grammars)
Computational Social Science and Sociolinguistics
Interaction and Dialogue
Language Acquisition, Learning, Emergence, and Evolution
Multimodality and Grounding
Typology and Multilinguality
Speech and Phonology
Syntax and Morphology
Lexical, Compositional and Discourse Semantics
Theoretical Analysis and Interpretation of ML Models for NLP
Resources and Tools for Scientifically Motivated Research
Language and the Brain
We do not restrict the topic of submissions to fall into this list. However, the submissions’ relevance to the conference’s focus on theoretically, cognitively and scientifically motivated approaches will play an important role in the review process (submissions may be rejected prior to review if they fail to meet this relevance criteria).
Submissions
CoNLL will accept only direct submissions this year. Submission will be via OpenReview. An OpenReview profile is required for all authors. We accept two types of submission: archival, and non-archival.
Archival submissions must be anonymous and use the same template as the ACL 2026. Submitted papers may consist of up to 8 pages of content plus unlimited space for references. Authors of accepted papers will have an additional page to address reviewers’ comments in the camera-ready version (9 pages of content in total, excluding references). Optional anonymized supplementary materials and a PDF appendix are allowed. Please refer to the ACL website for more details on the submission format. Note that, unlike ACL, we do not mandate that papers have a discussion section of the limitations of the work. However, we strongly encourage authors to have such a section in the appendix.
Non-archival submissions are not anonymous. We will accept submissions that fit into CoNLL’s scope (see above for a description) and have been published in 2024, 2025, and 2026 in relevant conferences (*ACL, COLING, NeurIPS, ICLR, CogSci, …) and journals (TACL, Computational Linguistics, other journals in the areas of interest for CoNLL).
Multiple submission policy: CoNLL 2026 follows the ACL 2026 policy, which follows the ARR policy: CoNLL “precludes multiple submissions […] will not consider any paper that is under review in a journal or another conference at the time of submission, and submitted papers must not be submitted elsewhere during the […] review period. This policy covers all journals and refereed and archival conferences and workshops […] In addition, we will not consider any paper that overlaps significantly in content or results with papers that will be (or have been) published elsewhere.” Authors submitting more than one paper to CoNLL 2026 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results.
Submission of pre-prints to arXiv and other platforms: we again follow the same policy as ARR: “[archival] submissions will remain anonymous during peer review, but authors are free to post and discuss non-anonymous preprints at any time.”
Also please be aware of OpenReview's moderation policy for newly created profiles —we advise you to create a profile well in advance:
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.
Timeline
(All deadlines are 11:59pm UTC-12h, AoE)
Submission deadline (archival and non-archival): February 19 2026
Notification of acceptance: April 21 2026
Camera-ready papers due: May 12 2026
Conference: July 3-4, 2026
Further information
Further information will be announced in the 3rd Call for Papers.
CoNLL 2026 Co-Chairs
Claire Bonial, Georgetown University
Yevgeni Berzak, Technion
Contact
Questions? E-mail conll.chairs(a)gmail.com
We are pleased to announce the ClinSkill QA shared task, co-located with the BioNLP workshop at ACL 2026.
TASK HOMEPAGE: https://whunextgen.github.io/ClinicalskillQA/
INTRODUCTION
Multimodal large language models (MLLMs) have the potential to support clinical training and assessment by assisting medical experts in interpreting procedural videos and verifying adherence to standardized workflows. Reliable deployment in these settings requires evidence that models can continuously interpret students’ actions during clinical skill assessments, which underpins MLLMs’ understanding of clinical skills. Systematically evaluating and improving MLLMs’ understanding of clinical skills and their continuous perception in clinical skill assessment scenarios is therefore essential for building reliable and high-impact AI systems for medical education. To address this need, the shared task on medical question answering targets clinical skill assessment scenarios.
IMPORTANT DATES
Release of task data : Jan 30, 2026
Paper submission deadline: Apr 17, 2026
Notification of acceptance: May 4, 2026
Camera-ready paper due: May 12, 2026
BioNLP Workshop Date: July 3 or 4, 2026
Note that all deadlines are 23:59:59 AoE (UTC-12).
TASK DEFINITION
ClinSkill QA formulates clinical skill understanding and continuous perception for clinical skill assessment as an ordering task: the MLLM is required to arrange shuffled key frames into a coherent sequence of clinical actions and to provide explanations for the resulting order. The dataset is constructed from video clips of medical student clinical procedures, collected from Zhongnan Hospital of Wuhan University and cofun (http://www.curefun.com/). This study was approved by the Institutional Review Board (IRB), and all data collection and processing followed relevant ethical guidelines.
DATASET
ClinSkill QA is built on 200 sets of shuffled key frames extracted from three types of clinical skill videos. Each set of key frames represents a sequence of continuous actions and is accompanied by expert-annotated ground-truth ordering and order rationales.
EVALUATION
For evaluation, we use Task Accuracy (exact ordering) and Pairwise Accuracy (the fraction of adjacent pairs correctly ordered) for the ordering results, and BertScore as well as an LLM-as-judge(G-Eval) for assessing the quality of the ordering explanations.
For the i-th sample (a set of shuffled keyframes):
Ordering evaluation
- Task Accuracy
- Pairwise Accuracy
Rationale evaluation
- BertScore
-LLM-as-Judge(G-Eval)
REGISTRATION AND SUBMISSION
Registration and Submission will be done via CodaBench (Link will be available soon on the task home page)
Each team is allowed up to ten successful submissions on CodaBench.
All shared task participants are invited to submit a paper describing their systems to the Proceedings of BioNLP 2026 (https://aclweb.org/aclwiki/BioNLP_Workshop) at ACL 2026 (https://2026.aclweb.org/).
Papers must follow the submission instructions of the BioNLP 2026 workshop (https://aclweb.org/aclwiki/BioNLP_Workshop).
ORGANIZERS
Xiyang Huang, School of Artifical Intelligence, Wuhan University
Yihuai Xu, School of Artifical Intelligence, Wuhan University
Zhiyuan Chen, School of Artifical Intelligence, Wuhan University
Keying Wu, School of Artifical Intelligence, Wuhan University
Jiayi Xiang, School of Artifical Intelligence, Wuhan University
Buzhou Tang, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen
Renxiong Wei, Zhongnan Hospital of Wuhan University
Yanqing Ye, Zhongnan Hospital of Wuhan University
Jinyu Chen, Zhongnan Hospital of Wuhan University
Cheng Zeng, School of Artifical Intelligence, Wuhan University
Min Peng, School of Artifical Intelligence, Wuhan University
Qianqian Xie, School of Artifical Intelligence,Wuhan University
Sophia Ananiadou, Department of Computer Science, The University of Manchester
--
Paul Thompson
Research Fellow
Department of Computer Science
National Centre for Text Mining
Manchester Institute of Biotechnology
University of Manchester
131 Princess Street
Manchester
M1 7DN
UK
http://personalpages.manchester.ac.uk/staff/Paul.Thompson/
CALL FOR PAPERS: THE 1ST WORKSHOP ON COMPUTATIONAL AFFECTIVE SCIENCE AT
LREC 2026
December 15, 2025 | BY vk22priya
Event Notification Type:
Call for Papers
Abbreviated Title:
First CfP: CAS Workshop@LREC 2026
Location:
Palma de Mallorca, Spain
State:
Mallorca
Country:
Spain
Contact Email:
Christopher.Bagdon(a)uni-bamberg.de
vkpriya(a)cs.toronto.edu
City:
Palma de Mallorca
Contact:
Christopher Bagdon
Krishnapriya Vishnubhotla
Website:
https://casworkshop.github.io/
Submission Deadline:
Monday, 16 February 2026
First Call for Papers: The 1st Workshop on Computational Affective
Science (CAS 2026), co-located with the Language Resources and
Evaluation Conference (LREC) 2026 in Palma de Mallorca, Spain, May
11-16.
Website: https://casworkshop.github.io/
Contact: <workshop.cas1(a)gmail.com>
We invite submissions to the first Workshop on Computational Affective
Science (CAS 2026), co-located with LREC 2026, on research related to
the understanding of affect and emotions through language and
computation. CAS will accept archival long and short paper submissions,
featuring substantial, original, and unpublished research. We also
encourage submissions of extended abstracts from researchers in the
broader Affective Science community, with up to two pages of content
featuring the research background/hypotheses and a description of
methods/results. Extended abstracts are non-archival, offering the
option for publication and presentation at other conference venues.
**Motivation**
Affect refers to the fundamental neural processes that generate and
regulate emotions, moods, and feeling states. Affect and emotions are
central to how we organize meaning, to our behavior, to our health and
well-being, and to our very survival. Despite this, and even though most
of us are intimately familiar with emotions in everyday life, there is
much we do not know about how emotions work and how they impact our
lives. Affective Science is a broad interdisciplinary field that
explores these and related questions about affect and emotions.
Since language is a powerful mechanism of emotion expression, there is a
growing use of language data and advanced natural language processing
(NLP) algorithms to shed light on fundamental questions about emotions.
The Workshop on Computational Affective Science (CAS) aims to be a
dedicated venue for work focused specifically on the link between NLP
and affective science.
**Interdisciplinary Scope**
The workshop takes an interdisciplinary approach to affective science
and aims at bringing together NLP researchers, scientists, and theorists
from many research areas, including psychology, sociology, neuroscience,
and philosophy. Although work in sentiment analysis is decades old, this
work often proceeds separately and in different fields from research and
theory in affective science. Meanwhile, affective scientists in
psychology, sociology, neuroscience and philosophy increasingly seek to
use linguistic tools to shed light on the nature of emotions, moods, and
feeling states. CAS is therefore co-organized by an interdisciplinary
group of researchers (spanning NLP and Affective Science) to foment
collaboration at this exciting frontier of research.
**Submissions**
We invite long and short archival paper submissions, as well as
non-archival extended abstracts on a broad range of topics at the
intersection of affective science and natural language processing,
including but not limited to:
1. The Nature of Affect and Computational Modeling of Emotions
Computational experiments that add to our understanding of affect and
emotions, including findings relevant to:
* theories and nature of emotion
* the biology or neuroscience of emotions
* appraisal models
* dimensional models (valence / arousal / dominance)
* models of constructed emotion
* cognitive-affective architectures
* emotion dynamics (emergence, intensification, decay, transitions)
* emotion granularity
* emotion regulation
* affective embodiment
* evolutionary and developmental affect
* emotion-cognition interactions
These areas are relevant not just to human affect, but may also apply to
data animals and artificial agents.
2. Affective Data and Resources
Work on compiling and annotating affect-related information in text,
speech, facial and bodily expression, and physiological signals (ECG,
EEG, GSR, multimodal biosensing), with a focus on text data (monolingual
or multilingual) and multimodal data suitable for an NLP venue. Data
from underserved languages is especially encouraged.
3. Emotion Recognition, Prediction, and Inference
At the instance level:
* emotion classification (discrete emotions, dimensional ratings)
* emotion intensity estimation
* emotion cause detection
* context-aware affect inference (culture, situation, social setting)
* structured emotion analysis
At the aggregate level:
* creating emotion arcs
* determining broad trends in emotions over time or across locations
* tracking emotional responses toward entities of interest (e.g.,
climate change)
* document-level and cross-document emotion analysis
* labeling social networks
4. Applications
Including but not limited to:
* Affect and health, psychopathology, and mental disorders
* Affect and behavior/social science (e.g., interpersonal affect,
empathy, group-level affect, affect contagion, computational emotion
regulation)
* Affect and education
* Affect and literature/narratives/digital humanities
* Affect and commerce
5. Explainability and Interpretability in Computational Affective Models
Work aimed at improving the transparency and interpretability of
affective systems. This includes understanding how models represent and
infer emotions and identifying key cues driving predictions.
6. Ethics, Fairness, Theory Integration, Philosophical Implications
* Bias and generalizability of affective systems across demographics
* Privacy and ethics in affective data collection
* Examining whether automatic NLP systems rely on current and valid
theories of affect and emotion
* The implications of machines modeling or simulating affect
* Societal considerations surrounding affective artificial agents
**Important Dates (tentative):**
· Submission deadline:16 Feb 2026
· Notification of acceptance: 16 March 2026
· Camera Ready Paper due: 23 March 2026
· Workshop date: TBA (11-16 May 2026)
**Submission Details:**
We invite submissions for archival long and short papers, as well as
non-archival extended abstracts.
Archival long and short papers should feature novel and unpublished work
relating to the topics detailed above.
We also invite submissions of extended abstracts from researchers in the
broader Affective Science community, with up to two pages of content
featuring the research background/hypotheses and a description of
methods/results. Extended abstracts are non-archival, offering the
option for publication and presentation at other conference venues.
Archival Track:
· Long Paper: Consists of up to 8 pages of content, with additional
pages for references, limitations, ethical considerations, and
appendices.
· Short Paper: Consists of up to 4 pages of content, with additional
pages for references, limitations, ethical considerations, and
appendices.
(When preparing camera ready papers, you will be allowed one extra page
to address comments by the reviewers.)
Non-Archival Track:
· Extended Abstract: Up to 2 pages.
**Submission Format:**
All submissions must use the LREC 2026 template and follow the
guidelines found at: https://lrec2026.info/authors-kit/ (Note: extended
abstracts can be limited to being 1-2 pages in length).
**Mandatory Ethics Section:** We ask all authors to include a section on
Ethical Considerations in their submission, touching on the ethical
concerns and broader societal impacts of the work. This discussion
section will not count towards the page limit.
**Submission Site:**
All submissions must be made through the SoftConf portal. The link to
the system will be shared shortly.
**Additional Details:**
Website: https://casworkshop.github.io/
Attendance: The workshop will follow the attendance policy of the main
conference (https://lrec2026.info/registration-policy/ ).
**Organizers:**
* Christopher Bagdon, University of Bamberg, Germany
* Krishnapriya Vishnubhotla, National Research Council Canada
* Kristen A. Lindquist, The Ohio State University, USA
* Lyle Ungar, University of Pennsylvania, USA
* Roman Klinger, University of Bamberg, Germany
* Saif M. Mohammad, National Research Council Canada
Contact us at <workshop.cas1(a)gmail.com> with any questions.
Dear corpora-list members,
We are pleased to announce the 15th Joint Conference on Lexical and Computational Semantics (*SEM 2026), co-located with ACL 2026. The call for papers can be found here<https://starsem2026.github.io/calls/> and below.
*SEM 2026: The 15th Joint Conference on Lexical and Computational Semantics [San Diego, CA (Co-located with ACL 2026)]
Website: https://starsem2026.github.io/
Direct submission link: https://openreview.net/group?id=STARSEM/2026/Conference
*SEM brings together researchers interested in the semantics of natural languages and its computational modelling. The conference embraces a wide range of approaches including data-driven, neural, probabilistic and symbolic; practical applications as well as theoretical contributions are welcome. The long-term goal of *SEM is to provide a forum for NLP researchers working on any aspect of natural language semantics.
*SEM invites submissions related to the computational modelling of natural language semantics (understood broadly) and its application. Relevant areas include (but are not limited to) theoretical aspects of computational semantics, empirical and data-driven approaches, resources, evaluation, and applications/tools.
*SEM encourages authors to consider ethical aspects of their work, and to address and discuss ethical questions and implications relevant to their research. *SEM also values reproducibility and particularly welcomes submissions that adhere to the reproducibility guidelines as specified here.
Please fill out this form<https://forms.gle/634oW3yvtTkur6qL9> if you would like to volunteer as a reviewer or as an Area Chair.
Questions may be directed to: startsem-2026-pcs(a)googlegroups.com<mailto:startsem-2026-pcs@googlegroups.com>
New for *SEM 2026
1. One Day Conference: Unlike past iterations, *Sem 2026 will be a one-day conference. (ACL has informed us that this is due to venue size limitations.)
2. Centering Research Questions: Research questions in *Sem, and NLP generally, can be roughly categorized into those that address:
* new findings about language (linguistic phenomena, semantic patterns),
* new findings about people (language use, behavior, health, ethics, etc.),
* new findings about automatic language processing (advancing language understanding through ML/AI and other approaches).
Centering and explicitly articulating the research question helps authors frame and present their contribution more clearly. It also helps reviewers and Area Chairs evaluate the work within the appropriate context. For example, a paper that centers a compelling linguistic or behavioral research question and offers meaningful new insights need not also introduce methodological novelty or rely on the latest models (including LLMs). A simple and interpretable approach may make good sense.
To support this, the *SEM 2026 submission form asks authors to explicitly identify the predominant research question type for their work, as well as any additional categories that apply. There are no quotas for accepted papers of different types, and submissions will not receive preferential treatment based on category selection.
Including this information also allows *SEM to track the kinds of research questions authors pursue and how the conference’s focus evolves over time.
3. Lasting Impact
Modern NLP and ML papers have often been criticized for being overly incremental or becoming obsolete shortly after publication. To encourage work with broader scientific value and longer-term relevance, reviewers of *Sem 2026 will be asked to explicitly assess the potential lasting impact of each submission. This assessment will be included as a short-written justification and will factor into the overall recommendation.
Importantly, a healthy research ecosystem requires diversity in the time horizons of research contributions. Some papers offer immediate practical value; others generate insights or resources whose importance unfolds over years. *Sem 2026 welcomes this full spectrum. Reviewers should evaluate the potential for lasting influence—not only immediate performance gains.
Work can have a lasting impact in many ways. See our blog post<https://starsem2026.github.io/blog/> on this.
Topics of Interest (non-exhaustive)
* Compositional semantics and sentence representations
* Statistical, machine learning, and deep learning methods in semantic tasks
* Multilingual and cross-lingual semantics
* Word sense disambiguation and induction
* Sentiment Analysis, Computational Affective Science, Stylistic Analysis, and Argument Mining
* Computational Social Science, Digital Humanities, and Cultural Analytics
* Semantic parsing, and syntax-semantics interface
* Frame semantics and semantic role labeling
* Textual inference, textual entailment, and question answering
* Formal approaches to semantics
* Extraction of events and of causal and temporal relations
* Entity linking, pronouns and coreference
* Discourse, pragmatics, and dialogue
* Machine reading
* Abusive language detection, Fact verification and related tasks
* Extra-propositional aspects of meaning
* Multiword and idiomatic expressions
* Metaphor, irony, and humor processing
* Knowledge mining and acquisition
* Common sense reasoning
* Language generation
* Multidisciplinary research on semantics
* Grounding and multimodal semantics
* Psycholinguistics
* Interpretability and Explainability
* Human semantic processing
* Semantic annotation, evaluation, and resources
* NLP Applications
* Ethical aspects and bias in semantic representations
Submission Instructions
Submissions must describe unpublished work and be written in English. We solicit both long and short papers. Long papers describe original research and may consist of up to eight (8) pages of content, plus unlimited pages for references. Appendices are allowed after the references, but the paper should be self-contained, and reviewers will not be required to check the appendices, if any. Final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Short papers describe original focused research and may consist of up to four (4) pages, plus unlimited pages for references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers' comments in their final versions.
Limitations and Ethics Statement sections are allowed and encouraged but are not mandatory. These sections should be placed after the conclusion and will not count towards the overall page limit.
Submissions should follow the ARR formatting requirements<https://github.com/acl-org/acl-style-files>.
Submission routes and deadlines
*SEM solicits direct submissions (not through ARR). The deadline for direct submissions is Feb 13, 2026, and these submissions will be reviewed by the *SEM2025 program committee. Submissions are made through OpenReview.
Multiple submission policy
*SEM does not prohibit the submission of work that is under consideration for another venue at the same time as the *SEM review period. However, authors of such papers will be asked to declare this at submission time.
Important Dates
(All deadlines are 11:59pm UTC-12h, AoE)
Direct submission deadline (long & short papers): Feb 13, 2026
Notification of acceptance: May 5, 2026
Camera-ready deadline: May 26, 2026
Conference date: July 6, 2026 (co-located with ACL 2026)
Following the ACL and ARR policies<https://www.aclweb.org/portal/content/report-acl-committee-anonymity-policy>, there is no anonymity period requirement.
Best regards,
The *SEM 2026 Program Chairs
Dear colleagues,
I hope this e-mail finds you well. I am writing in my capacity as the
newly appointed Section Editor for English Language and Linguistics at_
Miscelanea: A Journal of English and American Studies_:
https://papiro.unizar.es/ojs/index.php/misc/en.
_Miscelanea_, with 72 volumes published to date, is one of the
longest-running international journals on English Studies in Spain. It
is published and produced at the University of Zaragoza, and more
specifically, by the Department of English and German Philology.
_Miscelanea _is a double-blind peer-reviewed journal published twice a
year (in December and June), and publishes articles on English language
and linguistics, on literatures written in English, on thought, cinema
and cultural studies from the English-speaking world. We welcome
submissions all year round.
As Section Editor for English Language and Linguistics, I will welcome
any submission that draws upon any of the following areas and/or
methodological approaches (to name but a few):
* Descriptive linguistics;
* Applied linguistics;
* Discourse analysis, Critical Discourse Analysis and Corpus-Assisted
Discourse Analysis;
* Sociolinguistics;
* Systemic-Functional Linguistics;
* Translation Studies;
Etc.
I hope you will consider our publication as a potential outlet for your
research. Looking forward to receiving and reading your work.
With all my best wishes,
Miguel-Angel
--
Dr. Miguel-Angel Benitez-Castro
Departamento de Filología Inglesa y Alemana
Facultad de Ciencias Sociales y Humanas,
Universidad de Zaragoza (Spain)
C/ Atarazanas, 4, 44003, Teruel
https://orcid.org/0000-0001-8514-5943https://www.researchgate.net/profile/Miguel-Angel-Benitez-Castrohttps://scholar.google.com/citations?user=wx8VaDcAAAAJ&hl=es [1]
Member of: _IUI Biocomputation and Physics of Complex Systems (BIFI)
[2]_ Universidad de Zaragoza
Language and Linguistics Editor _- Miscelánea: A Journal of English and
American Studies [3]_
Links:
------
[1] https://scholar.google.com/citations?user=wx8VaDcAAAAJ&hl=es
[2] https://bifi.es/
[3] https://papiro.unizar.es/ojs/index.php/misc/index
Third Call for Papers
*****************
NooJ 2026 International Conference
Naples, Italy
June 24-26, 2026
https://nooj2026.sciencescall.org/resource/page/id/2
*******************
Important dates:
*******************
Abstract submission (extended deadline): 7 February 2026
Notification of acceptance: 25 March 2026
Registration: until 13 April 2026
Conference dates: 24-26 June 2026
***********************************************
University of Naples "L'Orientale" and the NooJ association organize the 20th NooJ Conference in Naples, Italy from 24-26 June, 2026.
NooJ is a linguistic development environment that allows linguists to formalize several levels of linguistic phenomena: orthography and spelling; lexicons of simple words, multiword units and frozen expressions; inflectional, derivational and agglutinative morphology; local, constituent and dependency syntax; transformational grammars and semantic analysis. For each phenomenon, NooJ provides linguists with formal tools specifically adapted to facilitate the description, using the four types of Chomsky-Schützenberger formal grammars (regular, context-free, context-sensitive and unrestricted). This approach distinguishes NooJ from most computational linguistic frameworks which provide a single formalism.
NooJ is also a corpus processing tool, used in the digital humanities (in History, Literature, Psychology and Sociolinguistics) as it allows users to apply sophisticated linguistic resources to large corpora and build indices and concordances, annotate texts automatically, perform various statistical analyses, etc.
NooJ is freely available and linguistic modules can already be freely downloaded for over 30 languages, see https://nooj.univ-fcomte.fr
A Web demo is available for English, French, Spanish and Ukrainian at: https://webnooj.univ-fcomte.fr
******************************
The conference intends to:
******************************
* give NooJ users and researchers in Linguistics, Computational Linguistics and in the Digital Humanities the opportunity to meet and share their experience as developers, researchers and teachers;
* present to NooJ users the latest linguistic resources and NLP applications developed for/with NooJ, its latest functionalities, as well as its future developments;
* offer researchers and graduate students an advanced tutorial dedicated to the automatic transformational analysis/generation of texts.
*******************
Topics of interest:
*******************
* Lexical resources
* Computational morphology
* Syntactic analysis
* Semantic analysis
* Linguistic-based NLP applications
***************
Submission:
***************
We invite the submission of abstracts in English until 7 February 2026. The abstracts should contain the title, name and email of the author(s) and their institutions. Abstracts should not exceed one page (between 400 and 600 words) and should be sent to nooj2026(a)gmail.com. All proposals will be reviewed by the members of the scientific committee; authors will be given notice of acceptance of their papers no later than 25 March 2026.
Further information about the conference can be found at https://nooj2026.sciencescall.org/resource/page/id/5. You can also contact the organizing committee at nooj2026(a)gmail.com for any additional information.
************************
Scientific Committee:
************************
Marco Angster, University of Zadar, Croatia
Anabela Barreiro, INESC-ID, Portugal
Anita Bartulović, University of Zadar, Croatia
Magali Bigey, Université de Franche-Comté, France
Xavier Blanco, Autonomous University of Barcelona, Spain
Christian Boitet, Université Joseph Fourier, Grenoble, France
Maria Pia Di Buono, Università degli Studi di Napoli l'Orientale, Italy
Héla Fehri, University of Sfax, Tunisia
Zoe Gavriilidou, Democritus University of Thrace, Greece
Yuras Hetsevich, National Academy of Sciences, Belarus
Agata Jackievicz, Université Paul Valéry, France
Agnieszka Kaliska, Poznan University, Poland
Kristina Kocijan, University of Zagreb, Croatia
Walter Koza, National, University of General Sarmiento, Argentina
Svetlana Krylosova, INALCO, France
Mathieu Lafourcade Université de Montpellier, France
Laetitia Leonarduzzi, Université d’Aix-Marseille, France
Stefania Maci, Università di Bergamo, Italy
Samir Mbarki, IbnTofail University, Morocco
Linda Mijić, University of Zadar, Croatia
Johanna Monti, Università degli Studi di Napoli l'Orientale, Italy
Kamal Naït-Zerrad, INALCO, France
Thierry Poibeau, Laboratoire Lattice, CNRS, France
Andrea Rodrigo, University of Rosario, Argentina
Olena Saint-Joanis, INALCO, France
Max Silberztein, Université de Bourgogne Franche-Comté, France
Marko Tadić, University of Zagreb, Croatia
François Trouilleux, Université Clermont Auvergne, France
**************************
Organizing Committee:
**************************
* Johanna Monti, Università di Napoli L'Orientale, Italy
* Maria Pia di Buono, Università di Napoli L'Orientale, Italy
* Max Silberztein, Université de Franche-Comté, France
Call for papers
**************************************************************
Neology and Large Language Models Workshop (NeoLLM2026)
Co-located with LREC 2026, Palma de Mallorca (in-person & online)
May 16, 2026
Paper submission deadline: February 20, 2026
Submission link: https://softconf.com/lrec2026/NeoLLM2026/
Workshop website: https://neollm2026.del.auth.gr/
Main conference website: <https://lrec2026.info/> https://lrec2026.info/
**************************************************************
Motivation and Topics of Interest
Understanding how LLMs capture, propagate, or even invent semantic shifts raises fundamental questions for lexicography, language modeling, and semantic resources. Addressing these questions requires close collaboration between computational linguistics, lexicography, and lexical resource development. Such interdisciplinary work can shed light on how large language models both reflect and reshape linguistic creativity, an inquiry that lies at the core of the proposed workshop.
The goal is to examine methodological, theoretical, and applied questions: How can LLMs help identify, track, and categorize new lexical items and senses across languages? To what extent do LLMs replicate or amplify human neologisms and semantic shifts, and when do they generate artificial or spurious ones? What are the implications for lexicographic practice, language documentation, NLP applications, and cultural studies of language change?
We invite researchers from computational linguistics, lexicography, digital humanities, and language technology to explore the intersection of LLMs and neology. We invite submissions on (but not limited to) the following topics:
* Linguistic Innovation in the Age of AI
* Neology detection and tracking using LLMs
* How LLMs absorb, generate, and disseminate new lexical items
* Benchmarks for LLM-driven neology detection
* Legitimacy and authority in AI-generated neologisms
* Language Resources and Inequality
* High-resource vs. low-resource languages in neology
* Integration of neologisms in dominant languages
* LLMs and neology for low-resource languages
* Cultural and Sociolinguistic Dimensions
* Cultural appropriateness and contextual limitations of AI-driven neologisms
* Sociolinguistic perspectives on LLMs and neology
* LLMs as participants in language innovation
* Opportunities for language revitalization and documentation
* Future Considerations for Linguistic Research
* AI’s role in shaping language futures
* Strategies to ensure linguistic equity and diversity
* Cross-disciplinary approaches: linguistics, AI, education, and sociology
We invite both long (8 pages and 2 pages of references) and short papers (4 pages and 2 pages of references) representing original research, innovative approaches and resource descriptions. Short papers may also represent project descriptions. These do not have to be implemented but discuss to what extent and for which purposes the project is created. Projects that are still in their early stages and seek advice from the broader scientific community are welcome, especially if they include underrepresented fields of study. We particularly welcome work on under-resourced and endangered languages. Submissions can be made via: https://neollm2026.del.auth.gr<https://neollm2026.del.auth.gr/>/<https://neollm2026.del.auth.gr/>
Papers should be formatted according to the LREC guidelines, please see https://lrec2026.info/authors-kit<https://lrec2026.info/authors-kit/>/<https://lrec2026.info/authors-kit/>. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review.
At the time of submission, authors are offered the opportunity to share related language resources with the community. All repository entries are linked to the LRE Map<https://lremap.elra.info/>, which provides metadata for the resource.
Important Dates
Paper Submission: 20 February 2026
Notification: 15 March 2026
Camera-ready Copy: 30 March 2026
Workshop: 16 May 2026
All deadlines are 11:59 PM UTC-12:00 (“anywhere on earth”).
Workshop organisers
Giedre Valunaite Oleskeviciene (Mykolas Romeris University)
Barbara McGillivray (King’s College London)
Florentina Armaselu (University of Luxembourg)
Voula Giouli (Aristotle University of Thessaloniki
Chaya Liebeskind (Jerusalem College of Technology)
Dr Barbara McGillivray, FHEA | <https://twitter.com/BarbaraMcGilli> @BarbaraMcGilli<https://twitter.com/BarbaraMcGilli>
Senior Lecturer in Digital and Cultural Humanities and convenor of the MA programme in Digital Humanities
Room 3.28, Department of Digital Humanities, King’s College London, Strand Campus, Strand, London, WC2R 2LS
Group lead of the Computational Humanities Research Group<https://www.kcl.ac.uk/research/computational-humanities-research-group>
Open Research<https://emckclac.sharepoint.com/sites/artshums/SitePages/Open-Research.aspx…> Lead, Faculty of Arts and Humanities
Editor-in-chief of Journal of Open Humanities Data<https://openhumanitiesdata.metajnl.com/>
======================
Call for Participation
======================
CLPsych 2026 Shared Task: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamics,
📍 ACL 2026 in San Diego, USA (July 2-7 2026)
Overview:
The 2026 shared task further advances work from previous years tasks by integrating dynamic mental health modeling, emphasizing the identification of key self-state elements leading up to mental state changes over time. Participants will analyze temporally ordered sequences of social media posts to characterize detailed psychological processes, key changes, as well as the interplay of such self-state processes leading up to the changes. Grounded in the MIND framework that conceptualizes self-states as combinations of Affect, Behavior, Cognition, and Desire (ABCD) components, it aims to further explore the fine-grained elements contributing to changes. The core objective of the shared task is to develop computational models that can identify adaptive and maladaptive self-state dimensions as well as changes over time across social media timelines aiming to characterize and summarize self-state sequences leading to such changes.
Task description:
Participants will develop systems that emulate a structured human annotation process to model mental health dynamics over time:
*
Predict adaptive and maladaptive ABCD element combinations for each individual post.
* Identify moments of change in mental health social media trajectories using longitudinal signals.
* Generate concise, interpretable self-state summaries leveraging the identified ABCD elements and contextual information leading up to changes in the user timeline.
Registration:
*
One team registration<https://docs.google.com/forms/d/e/1FAIpQLSdKp0JeE9CfBd59gFGF9YePKEFC6JXmKC8…> form
*
One individual registration form<https://docs.google.com/forms/d/e/1FAIpQLSftD9EbFFHMW_canwvXBYk87va6snnkpX9…> per team member
Researchers seeking collaborators are encouraged to contact the organizers.
Website: https://clpsych.org/shared-task/
Important dates:
* Registration deadline (Feb 15)
* Receiving guidelines on accessing sample data (Mar 1)
* Receiving instructions on the task and training data (Mar 11)
* System submissions on test set (Apr 18)
* Shared Task Paper submissions (May 1)
*
Camera-ready papers due (May 15)
Short Papers (one per team) up to 4 pages - with extra pages for references, limitations, ethics and appendices.
Contact:
clpsych-2026-shared-task(a)googlegroups.com<mailto:clpsych-2026-shared-task@googlegroups.com>, or any of the organizers directly.
Wearable movement and physiology sensors offer lightweight, non-invasive, and ecologically valid means to monitor human activity, affective state, and social behavior. With the rise of commercially deployed devices and new wearable foundation models, opportunities for scalable human behavior analysis continue to grow. However, challenges such as personalized modeling, on-device integration, or multimodal fusion prevail, limiting in-the-wild deployment of wearable devices.
The 1st Workshop on Behavioral and Emotion Analysis through wearable Technology (BEAT) aims to foster collaboration between researchers from various backgrounds (ML, HCI, biomedical engineering) around the topic of wearable devices for human behavioral analysis. The workshop will be held in Kyoto as part of the 20th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2026), taking place on May 25–29, 2026.
Topics of interest include, but are not limited to:
* Machine Learning and computational models for movement and physiological wearables
* Resource efficient and lightweight models
* Multimodal fusion and synchronization strategies
* Methods for irregularly sampled or missing data
* Individual differences, personalization, and context-awareness
* Ethical and privacy-preserving AI in wearable systems
* Novel wearables and applications
* Experimental methods for validation of wearable systems
* Lab-controlled experiments and In-the-wild deployment
* Datasets and Benchmarks
* Responsible data management and user consent
* Applications in Affective Computing / Mobile Health / Action Recognition / Social Interaction / HRI
Submission Details:
(1) Main Track (Original Research): 4 up to 8-pages work
(2) Non-Archival Track (Published Work): 1-page summary
Important Dates:
Main track:
* Paper registration deadline: March 30, 2026
* Paper submission deadline: April 3, 2026
* Notification to authors: April 15, 2026
* Camera-ready paper deadline: April 20, 2026
Non-archival track:
* Summary submission deadline: April 3, 2026
* Notification to authors: April 15, 2026
For more details, please visit our website: https://beat-workshop.github.io/
For further questions, contact us via beat-workshop(a)googlegroups.com<mailto:beat-workshop@googlegroups.com>
General Chairs: Louis Simon, Arianna de Vecchi, Cristina Palmero, Felix Dollack, Ting Dang, Mohamed Chetouani (modificato)
beat-workshop.github.io
Behavior and Emotion Analysis through wearable Technology (BEAT)<https://beat-workshop.github.io/>
Workshop at IEEE International Conference on Automatic Face and Gesture Recognition 2026, Kyoto, Japan
======================
Call for Participation
======================
14th International Symposium on Foundations of Information and Knowledge
Systems (FoIKS 2026)
📅 March 23–26, 2026 | Hannover, Germany
🌐 https://foiks2026.github.io
We cordially invite you to participate in FoIKS 2026, the 14th
International Symposium on Foundations of Information and Knowledge
Systems, which takes place from March 23 to 26, 2026, in Hannover, Germany.
FoIKS provides a forum for researchers and practitioners interested in
the formal foundations, design, and analysis of information and
knowledge systems. The symposium fosters cross-disciplinary dialogue and
collaboration spanning areas such as databases, logic, knowledge
representation, and computational complexity.
============
Registration
============
• Early registration deadline: February 15, 2026
• Late registration deadline: March 08, 2026
• Conference dates: March 23–26, 2026
The on-site registration (upon arrival) will not be possible.
====================
Program and Keynotes
====================
The list of accepted papers and keynote speakers is now available
online. The full conference program will be published on our website
soon. We are excited to announce the following keynotes for FoIKS 2026:
- Giuseppe De Giacomo (University of Oxford)
* Keynote Title: Reactive Program Synthesis in AI
- Floris Geerts (University of Antwerp)
* Keynote Title: Relational Neural Networks
- Wolfgang Nejdl (Leibniz Universität Hannover)
* Keynote Title: Reasoning for LLM-based Agents
- Ana Ozaki (University of Oslo)
* Keynote Title: Semiring Provenance for Ontology-based data access
👉 https://foiks2026.github.io/program.html
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Contact
=======
For any further information or inquiries, please contact us at:
📧 foiks26-thi(a)listserv.uni-hannover.de
We look forward to welcoming you to Hannover for FoIKS 2026!