Dear all,
I would like to inform you about a call for papers for a joint workshop
at the 49th German Conference on Artificial Intelligence, 11 - 14 August
2026: Bremen, Germany.
See https://www.csmc.uni-hamburg.de/ki2026-chai for details.
CHAI: Aim & scope
Inferring ancient cultural traditions from written artifacts, AI offers
many opportunities to assist humanities scholars in their work. Both
editorial projects and computer-aided evaluations such as text and data
mining or linguistic analyses require the collection, storage, and
linking of data in order to quickly identify core information of the
written artefacts. Time-consuming procedures, such as
the creation of dictionaries or the use of bibliographies through the
automatic linking of data, enables the creation of extensive data sets
and generation of additional information. Thus, AI supports humanities
scholars to focus them more on their core task.
To ensure that the use of AI methods among humanities scholars is not
merely theoretic, the applicability of algorithms in the environment of
humanities scholars needs to be specifically examined or also
intentionally developed humanities-centred.
AISSER: Aim & scope
This workshop has two distinct focuses, aiming to the field of AI in
society and education more broadly. The first focuses on the technical
aspects of applying AI methods in society and education. The second
takes a more interdisciplinary approach, considering social and
educational aspects of using AI in education.
Technical Perspective: The use of AI-based systems to support
teaching and learning has been developing for more than 4 decades, but
its rise has increased markedly in recent years, due to the increased
use of e-learning tools during the COVID-19 pandemic and the recent
explosion of generative AI. We are at a key moment in the development of
this field. Experts in AI and experts in education must collaborate to
optimize the use of generative AI in teaching and learning processes.
This workshop aims to provide a platform for presentating new proposals
and reflecting on the current state in this field of such social
relevance. In this first part, we are particularly interested in the
technical aspects of generate AI applications. We will focus on specific
techniques used for content creation (generative AI), student profiling
(machine learning), learning analytics, and explainable AI methods for
teachers’ dashboards. The aim is to provide a clear picture of the
approaches used in education, and their particularities.
Interdisciplinary Perspectives: the workshop is also dedicated to
AI methods in and for education and educational research. This includes
the study of educational and teaching generative AI applications, as
well as the social sciences, economics, and humanities, including all
subjects such as education and teaching in action, labor market research
with a focus on educational needs, history of education and related
cultural heritage of education. Other topics include informative
predictions for decision-making and behavioral science perspectives. On
the one hand, we focus on the connections between AI, education, and
society. This includes quantitative and qualitative research, data
science methods for analyzing educational and labor market data, AI
approaches for recommender systems, and digital learning. On the other
hand, we focus on how AI can be used to push the boundaries of the
field. This includes developing new methods (including methods using
AI), finding and making accessible new data sources, enriching data, and
more. In both cases, it is essential that the different perspectives
communicate and understand each other, which is also one of the goals of
this workshop. More broadly, we are interested in the ways in which AI
methods affect education, businesses, and labor markets. This includes
examining how all sectors of education, from primary to tertiary, are
affected by and respond to these methods. The design of digital futures
with AI raises several questions for education: At the broadest level
are legislative and normative questions; at the level of companies are
questions about investment decisions and maintaining productivity and
workforces; at the level of individuals are questions about
qualifications and which skills need to be applied and possibly learned
anew. Thus, skills and qualifications are at the heart of AI in
education and educational research. Although digital methods and AI are
emerging topics in thesefields, the scope of this workshop is not
limited to these areas. It is also dedicated to reflecting on methods
and results in the field of AI. We are particularly interested in
interdisciplinary exchange and dissemination with a clear focus on AI
methods.
Call for Papers
The workshop gathers AI researchers and interested humanities scholars.
Topics of interest include, but are not limited to the following:
AI for the interdisciplinary work of humanities scholars,
AI for linking data from the humanities scholars,
Digitized written artefact representation and description formats,
AI methods for written artefact analysis,
OCR for the humanities scholars,
Human-aware agents supporting tasks of humanities scholars,
AI techniques applied to education,
Explainable AI,
Application of generative AI in education,
Multimodal learning analytics,
AI techniques and models in analyzing the educational data,
Intelligent tutoring systems,
Intelligent learning/e-learning systems,
Student profiling for personalized learning,
AI-based apps and simulations,
AI to support learners with disabilities,
Automatic formative assessment,
Dialogue-based tutoring systems,
Exploratory learning environments,
Classroom monitoring tools,
Teacher focused apps,
Automatic assessment systems.
Submission: Submitted abstracts/papers must
be 1 - 3 'standard' pages in length (abstract);
be 5 - 9 'standard' pages in length (short papers);
be 10 - 15 'standard' pages in length (regular papers);
contain your research question(s), the methodological approach and
your findings;
be written in English;
contain author names, affiliations, and email addresses;
be formatted according to the CEUR-WS-Template (use the 1-column
style): http://ceur-ws.org/Vol-XXX/CEURART.zip
be submitted in PDF and the source file.
Submission should be made through the EasyChair conference
management system. The submission link is:
https://openreview.net/group?id=KI/2026/Workshop/CHAI_AISSER_202
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)
ESSLI 2026 Workshop:
Human Label Variation in Discourse and Pragmatic Phenomena
Prague, August 10-14, 2026
Call for Papers
Workshop description:
Over the past 20 years, the NLP community has given steadily-increasing attention to the idea of regarding human annotation disagreement not as a nuisance but as a potential asset that can be exploited for understanding the respective task better. In practice, this means that multiple annotations are not just adjudicated or averaged (and the individual annotations then thrown away) but taken as a spectrum that constitutes a "complex ground truth", for instance in the form of probability distributions over labels attached to items.
While some of the pioneering work on appreciating human label variation (HLV) came from research in discourse tasks such as anaphoric reference and discourse structure, the great majority of the recent work in the HLV community has concentrated on tasks in which variation arises from subjective differences, such as humour or offensive language detection, whereas the study of variation in pragmatics and discourse has seen relatively little progress. This is on the one hand surprising - pragmatics and discourse are highly prone to interesting variation in human judgement - but may well be an effect of the relative complexity of the annotation tasks, which make treatments of HLV difficult.
In this workshop, we aim to bring together experts on HLV and on discourse phenomena, and to identify ways forward. We welcome contributions on the following topics, for example (the list is not meant to be exhaustive):
• Discourse phenomena that can benefit from incorporating HLV
• Technical approaches to handling HLV (ideally with an eye on discourse):
◦ Soft-label vs. perspectivist approaches
◦ Implementation of machine learning regimes that handle HLV
◦ Evaluation of both automatic and manual annotation in the face of HLV
◦ Underspecification in representation formalism
• Case studies
Submission guidelines:
Abstracts should be at most two pages in 12pt font (plus up to two pages for references and appendix material). We primarily aim to promote participation and active discussion, and no proceedings will be published. Therefore, workshop submissions are not limited to unpublished work.
We welcome proposals for both long (30 min. + discussion) and short (15 min. + discussion) presentations as well as poster presentations. Be sure to indicate your target type on the abstract.
Subject to discussion at the end of the workshop, we envisage the possibility of a follow-up publication in the form of a journal special issue (with a new call for papers and reviewing process).
Submission deadline: April 24, 2026. Submission is via email (see below)
Workshop organizers: Massimo Poesio (Utrecht Univ. and Queen Mary University), Manfred Stede (Univ. of Potsdam)
Workshop website: https://hlv-dp.github.io
Contact (and submission) email: hlvdp(a)proton.me
Important dates:
Deadline for abstract submission: April 24, 2026
Notification of acceptance: May 8, 2026
Workshop dates: August 10-14, 2026 (one 90min slot per day)
*Release of trial corpora and registration still open* *!!*
****We apologize for multiple postings of this e-mail****
MentalRiskES2026 announces the fourth edition of a novel and enhanced task
on early risk identification of mental disorders in Spanish comments from
social media sources. Unlike previous editions (IberLEF 2023, 2024, and
2025), this edition introduces significant innovations: psychologists are
now actively involved in generating and validating the data, which ensures
a closer connection to real clinical settings. The task continues to be
solved as an online problem, requiring participants to detect potential
risks as early as possible in a continuous stream of data. Consequently,
performance depends not only on the accuracy of the systems but also on the
speed of detection, reflecting these dynamics in both task design and
evaluation metrics.
For this fourth edition, we propose two entirely new tasks: the first
subtask focuses on the detection of symptoms, while the second subtask
addresses decision support for therapeutic interventions.
We would like to invite you to participate in the following tasks:
*1. Early Symptom Detection in Therapeutic Conversations2. Therapist
Response Selection*
Find out more at https://sites.google.com/view/mentalriskes2026.
<https://sites.google.com/view/mentalriskes2026>
MentalRiskES 2026 is part of the IberLEF Workshop and will be held in
conjunction with the SEPLN 2026 conference in León (Spain).
-------------------------------------------------------------------------------
Important Dates
-------------------------------------------------------------------------------
Feb 9th Registration open
*Mar 27th Release of trial corpora (trial server available)*
Apr 12th Registration closed
Apr 13th Release of test corpora and start of the evaluation
campaign (test server available and trial submissions closed)
Apr 20th End of evaluation campaign (deadline for submission of
runs)
Apr 27th Publication of official results and release of test gold
labels
May 11th Deadline for paper submission
June 1st Acceptance notification
Jun 15th Camera-ready submission deadline
Sep TBD Publication of proceedings
Note: All deadlines are 11:59PM UTC-12:00
Please reach out to the organizers at MentalRiskEs@IberLEF2026.
The MentalRiskES 2026 organizing committee.
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Mas informacion sobre listas de correo en la Univ. de Jaen
http://www.ujaen.es/sci/redes/listas/
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International Conference
'LAnguage TEchnologies for Low-resource Languages' (LaTeLL '2026)
Fes, Morocco
30 September, 1 and 2 October 2026
www.latell.org/2026/ [1]
6th Call for Papers
The conference
Natural Language Processing (NLP) has witnessed remarkable progress in
recent years, largely driven by the emergence of deep learning
architectures and, more recently, large language models (LLMs).
Nevertheless, these advances have disproportionately benefited
high-resource languages that possess abundant data for model training.
By contrast, low-resource languages which account for at least 85% of
the world's linguistic diversity and are often spoken by smaller or
marginalised communities, have not yet reaped the full benefits of
contemporary NLP technologies.
This imbalance can be attributed to several interrelated factors,
including the scarcity of high-quality training data, limited
computational and financial resources, and insufficient community
engagement in data collection and model development. Developing NLP
applications for low-resource languages poses major challenges,
particularly the need for large, well-annotated datasets, standardised
tools, and robust linguistic resources.
Although several workshops have previously addressed NLP for
low-resource languages, _LaTeLL_ represents the first international
conference dedicated specifically to the automatic processing of such
languages. The event aims to provide a forum for researchers to present
and discuss their latest work in NLP in general, and in the development
and evaluation of language models for low-resource languages in
particular.
Conference topics
We invite submissions on a broad range of themes concerning linguistic
and computational studies focusing on low-resource languages, including
but not limited to the following topics:
Language resources for low-resource languages
* Dataset creation and annotation
* Evaluation methodologies and benchmarks for low-resource settings
* Lexical resources, corpora, and linguistic databases
* Crowdsourcing and community-driven data collection
* Tools and frameworks for low-resource language processing
Core language technologies for low-resource languages
* Language modelling and pre-training for low-resource languages
* Speech recognition, text-to-speech, and spoken language
understanding
* Phonology, morphology, word segmentation, and tokenisation
* Syntax: tagging, chunking, and parsing
* Semantics: lexical and sentence-level representation
NLP Applications for low-resource languages
* Information extraction and named entity recognition
* Question answering systems
* Dialogue and interactive systems
* Summarisation
* Machine translation
* Sentiment analysis, stylistic analysis, and argument mining
* Content moderation
* Information retrieval and text mining
Multimodality and Grounding for low-resource languages
* Vision and language for low-resource contexts
* Speech and text multimodal systems
* Low-resource sign language processing
Ethics, Equity, and Social Impact for low-resource languages
* Bias and fairness in low-resource language technologies
* Sociolinguistic considerations in technology development
* Cultural appropriateness and sensitivity
Human-Centred Approaches in low-resource languages
* Usability and accessibility of low-resource language technologies
* Educational applications and language learning
* Community needs assessment and technology adoption
* User experience research in low-resource contexts
Multilinguality and Cross-Lingual Methods for low-resource languages
* Multilingual language models and their adaptation
* Code-switching and code-mixing
* Cross-lingual transfer learning in low-resource languages.
Special Theme Track 1 -- Building Applications Based on Large Language
Models for Low-Resource Languages
_LaTeLL'2026_ will feature a Special Theme Track dedicated to the
development of applications based on Large Language Models (LLMs) for
low-resource languages.
This track aims to explore innovative methodologies, architectures, and
tools that leverage the power of LLMs to enhance linguistic processing,
accessibility, and inclusivity for underrepresented languages.
Contributions are encouraged on topics such as model adaptation and
fine-tuning, multilingual and cross-lingual transfer, ethical and
fairness considerations, and the creation of datasets and benchmarks
that facilitate the integration of LLM-based solutions in low-resource
settings.
Special Theme Track 2 -- Modern Standard Arabic (MSA) and Arabic
Dialects
This special track addresses the unique challenges and opportunities in
processing Modern Standard Arabic (MSA) and the rich landscape of Arabic
dialects. The diglossic nature of Arabic, where the formal MSA coexists
with numerous, widely used spoken dialects, presents a significant
hurdle for NLP. While MSA is relatively well-resourced, Arabic dialects
are quintessential examples of low-resource languages, often lacking
standardised orthographies, annotated corpora, and dedicated processing
tools. This track invites submissions on novel research and resources
aimed at bridging this gap and advancing the state of the art in Arabic
language technology. Topics of interest include, but are not limited to:
* Dialect identification and classification
* Creation of corpora and lexical resources for Arabic dialects
* Machine translation between MSA and dialects, and across different
dialects
* Speech recognition and synthesis for dialectal Arabic
* Computational modelling of morphology, syntax, and semantics for
dialects
* NLP applications (e.g., sentiment analysis, NER) for dialectal
user-generated content
* Code-switching between Arabic dialects, MSA, and other languages
Submissions and Publication
_LaTeLL'2026_ welcomes high-quality submissions in English, which may
take one of the following two forms:
* Regular (long) papers:Up to eight (8) pages in length, presenting
substantial, original, completed, and unpublished research.
* Short (poster) papers:Up to four (4) pages in length, suitable for
concise or focused contributions, ongoing research, negative results,
system demonstrations, and similar work. Short papers will be presented
during a dedicated poster session.
The conference will not consider submissions consisting of abstracts
only.
All accepted papers (both long and short) will be published as
electronic proceedings (with ISBN) and made available on the conference
website at the time of the event. The organisers intend to submit the
proceedings for inclusion in the ACL Anthology.
To prepare your submission, please make sure to use the LaTeLL'2026
style files available here:
LaTeX:
https://drive.google.com/file/d/1RceWyUqjFLEbv_oNto-x2Quop7qT4-wf/view?usp=…
Word:
https://docs.google.com/document/d/1m6VeC9jtMpe-Ku2QREgrPlE2-NTDvJvZ/edit?u…
Overleaf: https://www.overleaf.com/read/ttzzfcnjrgvw#e82bef [2]
Papers should be submitted through Softconf/START using the following
link: https://softconf.com/p/latell2026
Authors of papers receiving exceptionally positive reviews will be
invited to prepare extended and substantially revised versions for
submission to a leading journal in the field of Natural Language
Processing (NLP).
The conference will also feature a Student Workshop, and awards will be
presented to the authors of outstanding papers.
Important dates
* Submissions due: 1 May 2026
* Reviewing process: 20 May - 20 June 2026
* Notification of acceptance: 25 June 2026
* Camera-ready due: 10 July 2026
* Conference camera-ready proceedings ready 10 July 2026
* Conference: 30 September, 1 October and 2 October 2026
Keynote speaker
Nizar Habash (New York University Abu Dhabi)
Organisation
Conference Chair
Ruslan Mitkov (Lancaster University and University of Alicante)
Programme Committee Chairs
Saad Ezzini (King Fahd University of Petroleum & Minerals)
Salima Lamsiyah (University of Luxembourg)
Tharindu Ranasinghe (Lancaster University)
Organising Committee
Maram Alharbi (Lancaster University)
Salmane Chafik (Mohammed VI Polytechnic University)
Ernesto Estevanell (University of Alicante)
Milica Ikonić Nešić (University of Belgrade)
Further information and contact details
The follow-up calls will provide more details on the conference venue
and registration.The conference website is www.latell.org/2026/ [1] and
will be updated on a regular basis.
For further information, please email 2026(a)latell.org
Registration will open in April 2026.
Links:
------
[1] http://www.latell.org/2026/
[2]
https://www.overleaf.com/latex/templates/latell-26-template/kfcvbgxmccvb
Dear all,
I would like to draw your attention to the position announced below. We are searching someone with a degree in natural language processing, computational linguistics, digital humanities, data science, software development, or a related field. The position is funded until the end of 2027.
The position requires at least good German language skills, ideally better.
We are looking forward to applications!
Best regards,
Antje Schweitzer
--
Dr. Antje Schweitzer
IMS Uni Stuttgart
0711-685 81376
https://www.ims.uni-stuttgart.de/~schweitz
Researcher position (Full-Time) in the area of AI in Education
Researcher (m/f/d, E 13 TV-L, 100%)
Project MEKI, Topic: AI in Education
from now until Dec 31, 2027
University of Stuttgart
Institute of Natural Language Processing
Principal Investigators: Prof. Dr. Thang Vu, https://www.ims.uni-stuttgart.de/en/institute/team/Vu-00002/, and Dr. Antje Schweitzer, https://www.ims.uni-stuttgart.de/en/institute/team/Schweitzer/
According to current projections, Germany will face a shortage of 7 million workers by 2035. This dramatic shortage of skilled workers is aggravated by the fact that an increasing number of young adults do not have a vocational qualification. In addition, up to 28% of apprentices drop out of their training programs early. We want to change this!
The MEKI project (“Mehr erreichen mit KI”), is developing an AI-powered (open-source) educational software designed primarily to help struggling students in vocational schools to successfully complete their training. The project focuses on industrial and commercial fields, but is developing concepts that can be applied to other areas. The project is funded by the German Federal Ministry for Education, Family Affairs, Senior Citizens, Women and Youth within the InnoVET PLUS program. To realise this goal, we are working with four partners (two Chambers of Commerce and Industry (IHKs) as well as the Technical University of Munich (TUM) and the Ludwig-Maximilians-Universität in Munich (LMU)). The IHKs and LMU are primarily responsible for identifying the requirements and for scientific evaluation; the software is being developed jointly by TUM and our group, with our main focus being on the AI features.
The project currently has an opening for a full-time position (m/f/d, E 13 TV-L, 100%) through to the end of the project term at the end of December 2027. Part-time employment (for the same duration) can also be negotiated.
We are looking for a motivated colleague who is interested in getting involved in vocational education and tackling a social issue using AI methods. The use of AI in education opens up innovative possibilities such as personalized and multimodal learning, or gamification to boost motivation.
Desired Profile:
• Very good knowledge of written and spoken German
• Excellent communication skills and teamwork
• Diligence and analytical thinking
• A degree in natural language processing, computational linguistics, digital humanities, data science, software development, or a related field
• Extensive experience using LLM agents
• Strong programming skills, particularly in Python
• Experience in multimodal generation
• Experience with deep learning is a plus, but not required
• Experience with Git
• Experience in front-end development, e.g., React/TypeScript is a plus
Responsibilities:
• Design and implementation of new AI-based software features, particularly in the area of multimodal learning
• Participation in the ongoing evaluation of the software’s AI features
• Joint testing of the software as part of user studies with project partners
• Documentation and publication of project results
• Active collaboration with network partners and active participation in internal network meetings
What we offer:
• A diverse, dedicated team and a pleasant work environment with excellent research facilities in an international and interdisciplinary setting
• Cutting-edge topics with societal relevance in the field of education
• Opportunities for collaboration and contact with other interdisciplinary projects in the fields of deep learning and setting at the Institute of Natural Language Processing
• Support from student assistants
Application Process
Please submit a PDF file containing:
• a brief motivation letter outlining your fit to the project,
• your resume,
• your degree certificate including grades
Applications should be sent to: Antje Schweitzer, antje.schweitzer(a)ims.uni-stuttgart.de <mailto:antje.schweitzer@ims.uni-stuttgart.de>
Applications received before 11th April 2026 will be given full consideration. The position will remain open until filled, so do not hesitate to get in touch when you find this opening later.
The University of Stuttgart stands for diversity and equal opportunities, as well as for the compatibility of work and family life. Women applicants with the same qualifications, skills, and professional achievements will be given preference in areas where women are underrepresented. Applicants with disabilities with the same qualifications will be given priority. We expressly welcome applications from people of other nationalities or with a migration background.
Further information
The University of Stuttgart is a technically oriented university. It is especially known for engineering and related topics, with its computer science department being ranked highly, both nationally and internationally. As part of this department, IMS aims at bridging the gap between foundational research into language and the development of technologies for society. With 6 professors, over 50 scientists and 200 students in the study programs B.Sc. and M.Sc. Computational Linguistics, IMS is one of the largest hubs of computational linguistics in Germany and Europe.
The city of Stuttgart is known for its strong economy and diverse cultural scene, all within a manageable size. Its location amidst numerous hills and vineyards is also worth seeing. Stuttgart is a lively city with a vibrant bar and club scene and an extensive public transportation network. By train, Stuttgart is well connected to many other interesting destinations, such as Munich and Cologne (about 2 hours), Paris (about 3.5 hours), Berlin (about 5.5 hours), Strasbourg (1 hour), and Lake Constance (2 hours).
InnoVET PLUS program
https://www.inno-vet.de/innovet/de/innovet_plus/innovet-plus_node.html
MEKI project description from website of project partner IHK Reutlingen
https://www.reutlingen.ihk.de/ausbildung/azubis-hier-lang/digitale-lernange…
Institute of Natural Language processing
https://www.ims.uni-stuttgart.de <https://www.ims.uni-stuttgart.de/>
Digital Phonetics group
https://www.ims.uni-stuttgart.de/institut/arbeitsgruppen/dp/
* Atelier TAL@Santé 2026 * @ CORIA-TALN 2026 -- 29 juin 2026, Nantes
Site Internet : [ https://atelier-tal-sante.github.io/ | https://atelier-tal-sante.github.io/ ]
APPEL A COMMUNICATION
Dans le cadre des conférences conjointes CORIA-TALN 2026, l'atelier TAL@Santé 2026 vise à fédérer la communauté francophone du Traitement Automatique des Langues (TAL) appliqué à la santé. Il ambitionne de croiser outils, méthodes, ressources, retours d’expérience et perspectives autour des textes cliniques et biomédicaux.
DATES IMPORTANTES
* Soumission des articles : 29 avril 2026
* Notification aux auteurs : 13 mai 2026
* Version finale : 21 mai 2026
* Atelier : 29 juin 2026, de 9h00 à 17h30
TYPES ET FORMAT DES SOUMISSIONS
Les types d’articles acceptés sont :
* Articles résumés (3 pages max + références) :
- Travaux préliminaires en cours
- Description d'un projet de recherche
- Traduction d’un article récemment accepté (ou en cours de soumission) dans une conférence internationale
* Articles classiques (entre 6 et 10 pages + références) :
- Contribution nouvelle
- Etat de l’art
- Résultat négatif apportant une perspective nouvelle à un problème scientifique
- Prise de position présentant un point de vue sur l’état des recherches en TAL et santé
Les articles acceptés seront présentés au cours de la journée sous la forme d’une présentation orale ou d’un poster.
Ils seront également publiés dans les actes de la conférence CORIA-TALN 2026.
La langue officielle de la conférence est le français. Si tous les auteurs sont francophones, les articles doivent être rédigés en français. Si l’un des auteurs n’est pas francophone, les articles peuvent être rédigés en anglais.
Site de soumission : [ https://openreview.net/group?id=ls2n.fr/CORIA-TALN/2026/Workshop/TAL-Sante | https://openreview.net/group?id=ls2n.fr/CORIA-TALN/2026/Workshop/TAL-Sante ]
THEMATIQUES DE L’ATELIER
Les sujets d’intérêt incluent, mais ne sont pas limités à :
- Extraction d’entités, de relations et d’événements complexes
- Extraction d’information et classification de textes cliniques ou biomédicaux
- Accessibilité : simplification de textes médicaux, littératie en santé, communication patient–soignant
- Mésinformation et qualité de l’information en santé
- Détection et atténuation des biais
- Enjeux éthiques du TAL pour la santé
- Approches frugales
- Cadres d’évaluation, reproductibilité et métriques orientées vers l’usage
- Approches génératives : factualité, traçabilité (RAG, citations, vérification), détection d’hallucinations
- Schémas d’annotation et méthodologies de construction de ressources annotées
- Annotation assistée par LLM
- Création de modèles de langue spécialisés, adaptation de domaine, apprentissage par transfert, apprentissage fédéré, apprentissage faiblement supervisé
- Analyse automatique de la littérature scientifique pour la santé
CONTACT : atelier-tal-sante(a)univ-nantes.fr
ORGANISATEURS
Richard Dufour (LS2N, Nantes Université)
Yanis Labrak (IDIAP)
Emmanuel Morin (LS2N, Nantes Université)
Aurélie Névéol (LISN, Université Paris-Saclay)
Aman Sinha (ATILF, Université de Lorraine)
Laura Zanella (Doctolib)
Pierre Zweigenbaum (LISN, Université Paris-Saclay)
Dear all,
We are delighted to announce that applications to the European Summer
University in Digital Humanities "Culture and Technology" 2026 are open.
ESU DH will be held at the Université Marie et Louis Pasteur in
Besançon, France, from July 6 to July 18.
Submit your application via ConfTool
<https://www.conftool.org/esudh2026/>before May 24 2026. Please find
more about the workshop offer and application process on our website
<https://esudh.github.io/WorkshopsandLectures/>.
Please note:we will be reviewing applications on a rolling basis, so if
you need to arrange visa documents and organize your travel early, do
submit your application early!
ESU DH 2026
The Summer University offers an intense program of workshops, teaser
sessions, public lectures, project presentations, a poster session, and
a panel discussion. At the core of ESU are two-week workshops that run
in parallel across the schedule. They are designed as comprehensive,
intensive hands-on training in key areas of Digital Humanities. This
year we offer 10 workshopsin the areas of:
• Critical AI and Large Language Models
• Distant Reading and Computational Text Analysis
• Digital Archives, Cultural Heritage, and Data Curation
• Phonology and Sound Analysis
• Spatial Humanities and Mapping
• Text Encoding and Digital Philology
Building on the spirit of previous editions in Leipzig and Cluj, the ESU
in Besançon aims to foster interdisciplinary collaboration between
scholars and students in the Humanities, and to strengthen the community
of practice established in past years.
Scholarships
The ESU is generously supported by our partners DARIAH, EADH, and
CLARIN. Learn more about possible scholarships on our website
<https://esudh.github.io/ScholarshipsandFunding/>, and stay tuned for
more opportunities.
Venue
Besançon is a vibrant city of approximately 120,000 inhabitants and more
than 25,000 students from around the world, with a long tradition of
teaching French to non-native speakers. Following the two weeks of the
ESU, we will offer participants the opportunity to attend two to four
weeks of French language classes through our "French for DH" programme.
For all relevant information, please visit our website, which will be
continuously updated as new details become available. To get a sense of
what to expect, we encourage you to explore the archive section. Should
you have further questions, please write to esudh2026 [@] umlp.fr
<http://umlp.fr>
We look forward to welcoming you in Besançon.
On behalf of Prof. Frederic Spagnoli, Head of the ESU 2026
Dr. Artjoms Šeļa
Institute of Czech Literature, Сzech Academy of Sciences
Website <https://artjomsh.github.io/web/> | Scholar
<https://scholar.google.com/citations?user=4eYapmIAAAAJ&hl=en> |PoeTree
<https://versologie.cz/poetree/>
First CfP for EMNLP Workshop on Multimodal Interaction in Face-to-Face Dialogue (MINT)
We invite submissions to MINT: Multimodal Interaction in Face-to-Face Dialogue, a workshop that brings together researchers from computational linguistics, NLP, computer vision, HCI, robotics, and cognitive science working on multimodal face-to-face communication.
Workshop website: https://mintworkshop.github.io/2026/
The Workshop will be co-located with EMNLP 2026 in Budapest, Hungary, October 24–29, 2026 (exact date within this period to be decided).
We welcome work on topics including:
- computational models that integrate verbal and non-verbal cues such as speech, text, gesture, facial expression, gaze, and body pose;
- cognitive and linguistic insights about face-to-face communication that can inform AI systems;
- multimodal datasets with synchronized speech, video, and motion data;
- evaluation methods for multimodal interaction;
- applications and tools for embodied conversational agents, social robots, annotation, and behavioural analysis.
Papers should be prepared using the official ACL formatting guidelines and ACL style files.
MINT welcomes both archival and non-archival papers:
- Archival papers: Submissions must be anonymous and report original, unpublished research to appear in the workshop proceedings.
- Non-archival papers: Submissions reporting previously published work, preliminary research, or demos to be presented at the workshop and not published in the MINT proceedings.
Papers may be submitted as long papers (up to 8 pages plus references) or short papers (up to 4 pages plus references).
Non-archival submissions do not need to be anonymous.
We allow cross-submissions to other venues. However, to be included in the proceedings, authors of accepted papers must withdraw them from any other venue where they remain under consideration.
MINT will accept submissions through two channels:
1. Direct submission: The dedicated OpenReview portal for this is available at https://openreview.net/group?id=EMNLP/2026/Workshop/MINT. Archival papers submitted through this channel will be reviewed by the MINT programme committee.
2. ACL Rolling Review (ARR): Authors may submit through ARR and commit their paper together with the ARR reviews to MINT later at https://openreview.net/group?id=EMNLP/2026/Workshop/MINT_ARR_Commitment
**Important dates (11:59 pm AOE)**
- ARR paper submission deadline: May 25, 2026
- Direct paper submission deadline: July 8, 2026
- Pre-reviewed ARR commitment deadline: August 24, 2026
- Notification of acceptance: August 31, 2026
- Camera-ready paper due: September 14, 2026
Accepted contributions will be required to be presented at the MINT workshop as posters or talks.
The MINT workshop is sponsored by the Max Planck Institute for Psycholinguistics: https://www.mpi.nl/
For questions, please contact: mint.organizers(a)gmail.com
On behalf of the workshop organisers:
- Raquel Fernández (University of Amsterdam)
- Diego Frassinelli (LMU Munich)
- Esam Ghaleb (Max Planck Institute for Psycholinguistics)
- Bulat Khaertdinov (Maastricht University)
- Asli Ozyurek (Max Planck Institute for Psycholinguistics / Radboud University)
- Ece Takmaz (Utrecht University)
- Zerrin Yumak (Utrecht University)
Help preserve South American indigenous languages through speech technology!
*== QUECHUA-SPANISH SPEECH TRANSLATION SHARED TASK — IWSLT 2026 ==*
We are excited to announce the 2026 edition of the Quechua-to-Spanish
(QUE-SPA) speech translation shared task, part of the Low-Resource Speech
Translation track at IWSLT 2026. The conference will be co-located with ACL
2026 in San Diego, CA, USA on July 3–4, 2026.
Quechua is spoken by more than 8 million people across Peru, Ecuador, and
Bolivia, yet remains one of the most underrepresented languages in speech
technology. Building on the success of previous workshops (LoResMT,
AmericasNLP, and prior IWSLT editions), we continue our effort to push the
state of the art in low-resource speech translation.
We welcome all approaches: neural, statistical, rule-based, end-to-end,
cascaded, and more!
*★ IMPORTANT LINKS ★*
- Task webpage: https://iwslt.org/2026/low-resource
<https://urldefense.proofpoint.com/v2/url?u=https-3A__iwslt.org_2026_low-2Dr…>
- Dataset: https://github.com/johneortega/IWSLT2026_Quechua_data
<https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_johneortega…>
- Google Group: https://groups.google.com/g/iwslt-evaluation-campaign
<https://urldefense.proofpoint.com/v2/url?u=https-3A__groups.google.com_g_iw…>
- IWSLT 2026 conference: https://iwslt.org/2026
<https://urldefense.proofpoint.com/v2/url?u=https-3A__iwslt.org_2026&d=DwMFa…>
*★ HOW TO PARTICIPATE ★*
1. Join the IWSLT Evaluation Campaign Google Group and access the
registration using the following link:
https://groups.google.com/g/iwslt-evaluation-campaign
<https://urldefense.proofpoint.com/v2/url?u=https-3A__groups.google.com_g_iw…>
2. Download the QUE-SPA dataset:
https://github.com/johneortega/IWSLT2026_Quechua_data
<https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_johneortega…>
3. Build your system and submit results during the evaluation period
4. Submit your system description paper
Submissions can be uploaded to GitHub or emailed directly to the organizers.
*★ IMPORTANT DATES ★*
- Apr 1–15, 2026 – Evaluation period
- Apr 24, 2026 – System paper submission deadline
- May 15, 2026 – Notification of acceptance
- Jun 1, 2026 – Camera-ready deadline
- Jul 3–4, 2026 – IWSLT conference (San Diego, CA, USA)
All deadlines are 11:59PM UTC-12:00.
*★ ORGANIZING COMMITTEE (QUE-SPA & Catalan) ★*
- John E. Ortega (Northeastern University) — j.ortega(a)northeastern.edu
- Rodolfo Zevallos (Universidad Pompeu Fabra) —
rodolfojoel.zevallos(a)upf.edu <rodolfo.zevallos(a)bsc.es>
- Fabrício Carraro (Barcelona Supercomputing Center) —
fabricio.carraro(a)bsc.es
- Stephanny Sánchez (Universidad Nacional de Ingeniería) —
stephanny.sanchez.b(a)uni.pe
For questions about datasets or the task, please contact the organizers
above or the general IWSLT discussion list:
iwslt-evaluation-campaign(a)googlegroups.com
We look forward to your participation!
Best regards,
The QUE-SPA Organizing Team