The First International Workshop on Linguistic Analysis for Health (HeaLing’26)
We are excited to announce the First Workshop on Linguistic Analysis for Health (HeaLing),
co-located with EACL 2026, to be held in Rabat, Morocco, on March 24–29, 2026.
📌 Important Links
Workshop Website: https://healing-workshop.github.io
Contact: healing-workshop(a)googlegroups.com
CFP & Submissions (OpenReview): https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/HeaLing
🗓️ Key Dates (AoE)
Tentative Timeline
Event Date
Direct submission deadline December 19, 2025
Pre-reviewed (ARR) submission deadline January 2, 2026
Notification of acceptance January 23, 2026
Camera-ready paper due February 3, 2026
Workshop dates March 24–29, 2026
🧠 Workshop Scope
Language-oriented approaches—such as discourse and conversation analysis, narrative medicine, and linguistic ethnography—have long been central to qualitative investigations of how medical knowledge is produced, communicated, and experienced.
Today, advances in natural language processing (NLP) and artificial intelligence (AI) offer new possibilities for extending and scaling linguistic approaches across large health-related datasets.
The HeaLing workshop invites contributions that integrate qualitative and computational methods to examine how language informs and transforms medicine as a social and scientific practice. A central focus of the workshop is the practical value of interpretive insights derived from language analysis.
We welcome researchers from medical humanities, social and historical studies of medicine, and computational language sciences.
The workshop will be held as a half-day event at EACL 2026.
🧩 Topics of Interest (include but are not limited to)
Computational + qualitative discourse analysis of clinical, scientific, policy, and other health-related texts (media, guidelines, patient narratives, clinical notes).
Metaphor and framing in illness narratives, public health messaging, and clinical communication.
Narrative medicine, story-centered clinical interventions, and evaluation of their effects.
Historical and contemporary discourse studies of medical epistemologies (how concepts, categories, and expertise are constructed).
Language, power, and inequality: how linguistic framing shapes access, stigma, and policy for marginalized populations.
Methods for responsible use of NLP/LLMs in medical language research (bias, explainability, mixed-methods validation).
Digital humanities approaches: building and interrogating historical corpora, archives, and born-digital records.
Translational impact: case studies showing how interpretive linguistic insights led to concrete changes in practice, education, or policy.
📝 Submission Format and Reviewing Procedure
We accept original and unpublished research contributions (including surveys, position, and theory papers) following the ACL format.
The ACL Paper Styles are available here: https://github.com/acl-org/acl-style-files (both LaTeX and Word).
Long papers: up to 8 pages (+ references)
Short papers: up to 4 pages (+ references)
Camera-ready versions will be given one additional page to address reviewers’ comments.
Papers must be submitted anonymously. We accept submissions either through our own submission page or via the ACL Rolling Review (ARR).
All submissions will undergo double-blind peer review by at least three reviewers, with final acceptance decisions made by the workshop organizers.
Accepted papers will be published in the workshop proceedings and presented orally or as posters.
👥 Organizing Committee
Ylva Söderfeldt, Uppsala University, Sweden
Vera Danilova, Uppsala University, Sweden
Julia Reed, University of Vienna, Austria
Murathan Kurfalı, RISE Research Institutes of Sweden, Sweden
Gavin Farrell, University of Padua, Italy
---------------------------------------------------------------------------------------------------------------------------
--- Marie Skłodowska-Curie PhD position in La Rochelle and South East
Technological University
---------------------------------------------------------------------------------------------------------------------------
We have an open PhD position at La Rochelle Université, funded by the
Marie Skłodowska-Curie programme (please take note of tight deadline):
*- Topic*: "Towards Fair and Explainable Lightweight Multimodal Learning
Models for Effective Document Understanding".
*- *Keywords: Document Analysis, Natural Language Processing, Multimodal
Analysis
- Context: The PhD is a *joint degree* with the South-East Technological
University (SETU, *Ireland*), with dedicated mobility support for a
cumulated total stay of 6 months.
- Main joint supervisors: Antoine Doucet (La Rochelle Univ), Rejwanul
Haque (SETU)
- Conditions: The PhD is funded by a *Marie Skłodowska-Curie* Actions
(MSCA) and includes *competitive salary*, as well generous mobility
allowance and budget lines to cover expenses related to research,
training and professional travel.
*Key eligiblity rules:
*- You must hold a masters degree (or equivalent) by the application
deadline
- You are not eligible if you spent more then 12 months in France
between December 2022 and December 2025
***Full details* are available here:
https://euraxess.ec.europa.eu/jobs/382079
*Important dates:
* - *Q&A* *session* on Monday 8 December 10am CEST (register by emailing
the PhD supervisors)
- Application *deadline: 12 December 2025 *11pm CET**
**
Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026
https://bionlp.nlm.nih.gov/cl4health2026/
LREC 2026
Palma, Mallorca (Spain)
SCOPE
CL4Health fills the gap among the different biomedical language processing workshops by providing a general venue for a broad spectrum of patient-oriented language processing research. The third workshop on patient-oriented language processing follows the successful CL4Health workshops (co-located with LREC-COLING 2024 and NAACL 2025), which clearly demonstrated the need for a computational linguistics venue focused on language related to public health.
CL4Health is concerned with the resources, computational approaches, and behavioral and socio-economic aspects of the public interactions with digital resources in search of health-related information that satisfies their information needs and guides their actions. The workshop invites papers concerning all areas of language processing focused on patients' health and health-related issues concerning the public. The issues include, but are not limited to, accessibility and trustworthiness of health information provided to the public; explainable and evidence-supported answers to consumer-health questions; accurate summarization of patients' health records at their health literacy level; understanding patients' non-informational needs through their language, and accurate and accessible interpretations of biomedical research. The topics of interest for the workshop include, but are not limited to the following:
* Health-related information needs and online behaviors of the public;
* Quality assurance and ethics considerations in language technologies and approaches applied to text and other modalities for public consumption;
* Summarization of data from electronic health records for patients;
* Detection of misinformation in consumer health-related resources and mitigation of potential harms;
* Consumer health question answering (Community Question Answering)(CQA);
* Biomedical text simplification/adaptation;
* Dialogue systems to support patients' interactions with clinicians, healthcare systems, and online resources;
* Linguistic resources, data, and tools for language technologies focusing on consumer health;
* Infrastructures and pre-trained language models for consumer health;
IMPORTANT DATES (Tentative)
February 18, 2026 -Workshop Paper Due Date️
March 13, 2026 - Notification of acceptance
March 20, 2026 - Camera-ready papers due
April 10, 2026 - Pre-recorded video due (hard deadline)
May 16, 2026 - Workshop
SHARED TASKS
Detecting Dosing Errors from Clinical Trials.
Medication errors constitute a significant threat to public health worldwide. Although various types of errors may occur, dosing errors have been identified as one of the most frequent types. The objective of the shared task is to develop and evaluate machine learning methods capable of analyzing clinical trial data (including structured metadata and free-text protocol descriptions) to identify trials that are likely to experience unusually high rates of dosing errors. Such predictive tools could serve as early-warning systems, supporting more reliable trial design and enhancing medication safety. A human-annotated dataset comprising 40,000 clinical trials will be used for the training and validation set. Submissions will be evaluated primarily using the F1-score, with AUROC and AUPRC reported as complementary metrics. To avoid participants using unauthorized data for training, only submissions of fully reproducible, open methods will be considered.
Automatic Case Report Form (CRF) Filling from Clinical Notes.
Case Report Forms are standardized instruments in medical research used to collect patient data consistently and reliably. They consist of predefined items to be filled with patient information. Automating CRF filling from clinical notes would accelerate clinical research, reduce manual burden on healthcare professionals, and create structured representations that can be directly leveraged to produce accessible, patient-friendly, and practitioner-friendly summaries. The shared task focuses on developing systems that take clinical narratives as input and automatically populate the relevant slots in a CRF. Two different (synthetic and real clinical data) multilingual datasets covering English and Italian will be shared with the participants to develop the system. The evaluation will be performed in terms of F1-score by comparing the system's outputs with ground truth labels.
Grounded Question Answering from Electronic Health Records.
While there have been studies on answering general health-related queries, few have focused on their own medical records. Furthermore, grounding (linking responses to specific evidence) is critical in medicine. Yet, despite extensive studies in open domains, its application in the clinical domain remains underexplored. To foster research in these sparsely studied areas of clinical natural language processing, the ArchEHR-QA (“Archer”) shared task was introduced as part of the BioNLP Workshop at ACL 2025. Given a patient-posed natural language question, the corresponding clinician-interpreted question, and the patient's clinical note excerpt, the task is to produce a natural language answer with citations to the specific note sentences. The ArchEHR-QA dataset is based on real-life patients' questions from public health forums aligned with clinical notes from publicly accessible EHR databases (MIMIC-III/IV) to form a cohesive question-answer source case. Submissions will be evaluated for evidence use (“Factuality”) and answer quality (“Relevance”). Factuality is measured via Precision, Recall, and F1 Scores between the cited evidence sentences in systems' answers and ground truth labels. Relevance is measured against ground truth answers using BLEU, ROUGE, SARI, BERTScore, AlignScore, and MEDCON.
SUBMISSIONS
Two types of submissions are invited:
- Full papers: should not exceed eight (8) pages of text, plus unlimited references. These are intended to be reports of original research.
- Short papers: may consist of up to four (4) pages of content, plus unlimited references. Appropriate short paper topics include preliminary results, application notes, descriptions of work in progress, etc.
Electronic Submission: Submissions must be electronic and in PDF format, using the Softconf START conference management system. Submissions need to be anonymous.
Papers should follow LREC 2026 formatting.
LREC provides style files for LaTeX and Microsoft Word at https://lrec2026.info/authors-kit/.
Submission site: https://softconf.com/lrec2026/CL4Health/
Dual submission policy: papers may NOT be submitted to the workshop if they are or will be concurrently submitted to another meeting or publication.
Share your LRs: When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).
MEETING
The workshop will be hybrid. Virtual attendees must be registered for the workshop to access the online environment.
Accepted papers will be presented as posters or oral presentations based on the reviewers’ recommendations.
ORGANIZERS
- Deepak Gupta, US National Library of Medicine
- Paul Thompson, National Centre for Text Mining and University of Manchester, UK
- Dina Demner-Fushman, US National Library of Medicine
- Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK
--
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/
**Last CALL FOR PAPERS**
22nd Workshop on Multiword Expressions (MWE 2026)
https://multiword.org/mwe2026/
Organized, sponsored, and endorsed by SIGLEX, the Special Interest Group on
the Lexicon of the ACL, and by UniDive <https://unidive.lisn.upsaclay.fr>
Cost Action CA21167
Half-day workshop collocated with the 19th Conference of the European
Chapter of the Association for Computational Linguistics (*EACL 2026*,
https://2026.eacl.org/), *Rabat, Morocco*.
Hybrid (on-site & on-line)
*******************************************
Important Dates
-
Direct Submission deadline: December 19, 2025
-
Pre-reviewed (ARR) submission deadline: January 2, 2026
-
Notification of acceptance: January 23, 2026
-
Camera-ready paper due: February 3, 2026
-
Workshop date: *March 28, 2026, 9:00-12:30*
All deadlines are at 23:59 UTC-12 (Anywhere on Earth).
*******************************************
Multiword expressions (MWEs), i.e., word combinations that exhibit lexical,
syntactic, semantic, pragmatic, and/or statistical idiosyncrasies (Baldwin
and Kim, 2010), such as “by and large”, “hot dog”, “make a decision” and
“break one's leg” are still a pain in the neck for Natural Language
Processing (NLP). The notion of MWE encompasses closely related phenomena:
idioms, compounds, light-verb constructions, phrasal verbs, rhetorical
figures, collocations, institutionalized phrases, etc. Given their
irregular nature, MWEs often pose complex problems in linguistic modeling
(e.g., annotation), NLP tasks (e.g., parsing), and end-user applications
(e.g., natural language understanding and Machine Translation), hence still
representing an open issue for computational linguistics (Miletić and
Schulte im Walde, 2024; Ramisch et al., 2023; Phelps et al., 2024; Mahajan
et al., 2024).
For more than two decades, the topic of modeling and processing MWEs for
NLP has been the focus of the MWE workshop, organized by the MWE section
<https://multiword.org/> of ACL-SIGLEX <http://www.siglex.org/> in
conjunction with major NLP conferences since 2003. Impressive progress has
been made in the field, but our understanding of MWEs still requires much
research, considering their need and usefulness in NLP applications. This
is also relevant to domain-specific NLP pipelines that need to tackle
terminologies most often realized as MWEs.
Topics of interest include, but are not limited to:
-
Computationally-applicable theoretical work in psycholinguistics and
corpus linguistics;
-
Annotation (expert, crowdsourcing, automatic) and representation in
resources such as corpora, treebanks, e-lexicons, WordNets, constructions
(also for low-resource languages);
-
Processing in syntactic and semantic frameworks (e.g. CCG, CxG, HPSG,
LFG, TAG, UD, etc.);
-
Discovery and identification methods, including for specialized
languages and domains such as clinical or biomedical NLP;
-
Interpretation of MWEs and understanding of text containing them;
-
Language acquisition, language learning, and non-standard language (e.g.
tweets, speech);
-
Evaluation of annotation and processing techniques;
-
Retrospective comparative analyses from the PARSEME shared tasks;
-
Processing for end-user applications (e.g. MT, NLU, summarisation,
language learning, etc.);
-
Implicit and explicit representation in pre-trained language models and
end-user applications;
-
Evaluation and probing of pre-trained language models;
-
Resources and tools (e.g. lexicons, identifiers) and their integration
into end-user applications;
-
Multiword terminology extraction;
-
Adaptation and transfer of annotations and related resources to new
languages and domains including low-resource ones.
Co-located Shared tasks
The workshop MWE 2026 will host two shared tasks
<https://unidive.lisn.upsaclay.fr/doku.php?id=other-events:parseme-admire-st…>
:
-
PARSEME 2.0, whose objective is to identify and paraphrase MWEs in
written text, and
-
AdMIRe 2 (Advancing Multimodal Idiomaticity Representation), which explores
the comprehension ability of multimodal models for MWEs in a variety of
languages.
Submission formats
The workshop invites two types of submissions:
-
archival submissions that present substantially original research in
both long paper format (8 pages + references) and short paper format (4
pages + references).
-
non-archival submissions of abstracts describing relevant research
presented/published elsewhere, which will not be included in the MWE
proceedings.
Paper submission and templates
Papers should be submitted via the workshop's submission page
<https://openreview.net/group?id=eacl.org/EACL/2026/Workshop> (
https://openreview.net/group?id=eacl.org/EACL/2026/Workshop). Please choose
the appropriate submission format (archival/non-archival). Archival papers
with existing reviews will also be accepted through the ACL Rolling Review.
Submissions must follow the ACL stylesheet
<https://github.com/acl-org/acl-style-files>.
Authors are encouraged, wherever relevant, to adopt the conventions on
citing, glossing and translating multilingual examples of MWEs
<https://gitlab.com/parseme/pmwe/-/blob/master/Conventions-for-MWE-examples/…>
promoted by the editors of the Phraseology and Multiword Expressions book
series <https://langsci-press.org/catalog/series/pmwe> published by
Language Science Press.
Organizing Committee
Verginica Barbu Mititelu, A. Seza Doğruöz, Alexandre Rademaker, Atul Kr.
Ojha, Mathieu Constant, Ivelina Stoyanova
Anti-harassment policy
The workshop follows the ACL anti-harassment policy.
Contact
For any inquiries regarding the workshop, please send an email to the
Organizing Committee at mwe2026workshop(a)gmail.com.
The Seventh Workshop on Teaching NLP
Call for Papers
Educators designing Natural Language Processing (NLP) and/or
Computational Linguistics (CL) courses and degree programs face unique
challenges due to the rapid progress of the field, particularly with the
impact of generative AI and Large Language Models (LLMs). Here, the
challenge is two-fold: A) courses need to keep up with the pace in terms
of the content covered, while B) it will be crucial for educators to
adapt the course design accordingly, acknowledging the existence and the
use of LLMs by students. To support all those who are facing these
challenges, we are planning a discussion-heavy one-day workshop to bring
together the communities of NLP research and education, and facilitate
active discussion on questions such as (but not limited to):
*
How can we balance technical details, linguistic background, and domain
knowledge in NLP-related courses?
*
How do we keep the human in the loop?
*
How can the community support educators at different institutions and
career levels?
This timely seventh edition of the Teaching NLP Workshop builds on prior
successful offerings [1] to tackle the most pressing issues in how to
design NLP courses and bring together instructors from various
backgrounds to discuss, create, and refine instructional design and
material.
Submission Information
We invite submissions in two categories: short papers (2 pages) on
teaching materials and full papers (8 pages) on original, unpublished
research (both regular research papers and position papers).
Format
All submissions must use the official ACL LaTeX style template [2] and
follow the standard ACL submission requirements [3]. References and
appendices do not count against the page limit (8 pages). Limitations
and ethical considerations are optional and do not count against these
limits either. Papers that do not conform to these requirements will be
desk-rejected without review.
Submission Process
For submission and the review process, we will use OpenReview. If you do
not have an OpenReview account yet, make sure to create it well in
advance of the deadline. This is especially important, as in some cases,
the approval of the account may take some time. The reviewing process
will be single-blind.
Submission Link (OpenReview): tbd
Submission Type 1: Short Papers on Teaching Materials
We invite submissions of short papers of 1-2 pages that describe
teaching materials such as curricula, course GitHub repositories,
Jupyter notebooks, slides, homework, programming assignments, or
projects. These short papers need not be anonymized, but will be
peer-reviewed and published as part of the workshop proceedings, and
presented as posters and/or demos. The associated teaching materials,
while not being part of the proceedings, should be submitted in addition
to the short paper. We will create a Teaching NLP repository where
authors may opt in to make their materials available for reuse after the
workshop.
Submission Type 2: Full Papers
We invite papers of up to 8 pages discussing pedagogical aspects of NLP,
focusing on (but not limited to) any of the following general topics:
*
Tools and methodologies (e.g., teaching with code, active learning,
flipped classroom)
*
Scaling curricula to fit large class sizes
*
Adapting existing curricula to incorporate new NLP advancements
*
Teaching online NLP courses or adjusting courses to become remote
*
Challenges of designing the first NLP course or related degree program
at a college, university, or on a MOOC platform
*
Teaching heterogenous groups of students (e.g., with respect to prior
experience in computer science and linguistics, with respect to their
social and cultural background, etc.)
*
Teaching underrepresented students
*
Bridging the gap between academic training and industry needs
*
Incorporating ethics, reproducibility, and responsible practices in NLP
courses
*
Teaching multilingual NLP
Important Dates
*
First Call for Papers: October 15, 2025
*
Paper Submission: December 19, 2025
*
Notification of Acceptance: January 23, 2026
*
Camera-Ready Deadline: February 3, 2026
*
Teaching NLP Workshop: 1 day workshop co-located with EACL (March 24 to
29, 2026)
All deadlines are 23:59 AoE (anywhere on earth).
Links:
------
[1] https://sites.google.com/view/teachingnlpacl2024
[2] https://github.com/acl-org/acl-style-files
[3] https://aclrollingreview.org/cfp
NBME (National Board of Medical Examiners)
Summer 2026 Internships in Measurement and Data Science
June 1 - July 24, 2026
NBME invites applications for multiple full-time internship positions, all fully remote, for the Summer of 2026. Over an 8-week period, interns will have the opportunity to collaborate with NBME staff and interact with fellow graduate students as they complete a research project. The expected deliverable is an internal research presentation, with possible opportunities for conference presentations or publications. Specific projects for the summer of 2026 will be discussed with applicants as part of the interview process. Compensation is $12,600, and all interns are eligible to receive up to $1,000 to support their attendance at a conference (not conditional on presenting). The application deadline is Sunday, February 1, 2026, at midnight PST. Interested students can learn more and apply here: https://nbme.applicantpro.com/jobs/3918589
If you have any questions or need additional information, please contact Chris Runyon: CRunyon(a)nbme.org<mailto:CRunyon@nbme.org>
This email message and any attachments may contain privileged and/or confidential business information and are for the sole use of the intended recipient(s). Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please notify the sender immediately by reply email and destroy all copies of the original message and any attachments.
[Apologies for multiple postings]
We are happy to announce that the following datasets are now available
at reduced fees until 31 March 2026.
*Chinese Mandarin (South) database*
<https://catalog.elra.info/en-us/repository/browse/ELRA-S0397/>**
ISLRN: 503-886-852-083-2 <http://www.islrn.org/resources/503-886-852-083-2>
This database contains the recordings of 1000 Chinese Mandarin speakers
from Southern China (500 males and 500 females), from 18 to 60 years’
old, recorded in quiet studios. Recordings were made through microphone
headsets and consist of 341 hours of audio data (about 30 minutes per
speaker), stored in .WAV files as sequences of 48 KHz Mono, 16 bits,
Linear PCM.
*Chinese Mandarin (North) database*
<https://catalog.elra.info/en-us/repository/browse/ELRA-S0398/>**
ISLRN: 353-548-770-894-7 <http://www.islrn.org/resources/353-548-770-894-7>
This database contains the recordings of 500 Chinese Mandarin speakers
from Northern China (250 males and 250 females), from 18 to 60 years’
old, recorded in quiet studios. Recordings were made through microphone
headsets and consist of 172 hours of audio data (about 30 minutes per
speaker), stored in .WAV files as sequences of 48 KHz Mono, 16 bits,
Linear PCM.
*Chinese Kids Speech database (Lower Grade)*
<https://catalog.elra.info/en-us/repository/browse/ELRA-S0496/>**
ISLRN: 369-011-475-593-5 <http://www.islrn.org/resources/369-011-475-593-5>
The Chinese Kids Speech database (Lower Grade) contains the total
recordings of 184 Chinese Kids speakers (98 males and 86 females), from
6 to 10 years' old, recorded in quiet rooms using smartphones. 1,426
sentences were used. Recordings were made through smartphones and audio
data stored in .wav files as sequences of 16KHz Mono, 16 bits, Linear PCM.
*Chinese Kids Speech database (Upper Grade)*
<https://catalog.elra.info/en-us/repository/browse/ELRA-S0497/>**
ISLRN: 993-024-988-227-0 <http://www.islrn.org/resources/993-024-988-227-0>
The Chinese Kids Speech database (Upper Grade) contains the total
recordings of 161 Chinese Kids speakers (71 males and 90 females), from
10 to 12 years’ old recorded in quiet rooms using smartphone. 1,859
sentences were used. Recordings were made through smartphones and audio
data stored in .wav files as sequences of 16KHz Mono, 16 bits, Linear PCM.
*Japanese Kids Speech database (Lower Grade)
<https://catalog.elra.info/en-us/repository/browse/ELRA-S0411/>*
ISLRN: 579-088-185-591-2 <http://www.islrn.org/resources/579-088-185-591-2>
The Japanese Kids Speech database (Lower Grade) contains the total
recordings of 179 Japanese Kids speakers (71 males and 108 females),
from 6 to 9 years' old (first, second and third graders in elementary
school), recorded in quiet rooms using smartphones. 1019 sentence were
used. Recordings were made through smartphones and audio data stored in
.wav files as sequences of 16KHz Mono, 16 bits, Linear PCM.
*Japanese Kids Speech database (Upper Grade)
<https://catalog.elra.info/en-us/repository/browse/ELRA-S0412/>*
ISLRN:846-295-092-462-7 <http://www.islrn.org/resources/846-295-092-462-7>
The Japanese Kids Speech database (Upper Grade) contains the total
recordings of 232 Japanese Kids speakers (104 males and 128 females),
from 9 to 13 years’ old (fourth, fifth and sixth graders in elementary
school), recorded in quiet rooms using smartphones. 1018 sentences were
used. Recordings were made through smartphones and audio data stored in
.wav files as sequences of 16KHz Mono, 16 bits, Linear PCM.
For more information on the catalogue or if you would like to enquire
about having your resources distributed by ELRA, please *contact us*
<mailto:contact@elda.org>.
_________________________________________
Visit the *ELRA Catalogue of Language Resources* <http://catalog.elra.info>
*Archives *
<https://www.elra.info/catalogues/language-resources-announcements/>of
ELRA Language Resources Catalogue Updates
*CALL FOR POSTERS14th International Symposium on Foundations of
Information and Knowledge Systems (FoIKS 2026) Hannover, Germany,
March 23–26, 2026https://foiks2026.github.io/
<https://foiks2026.github.io/>**.*
*Apologies if you receive multiple copies of this call.*
------------------------------------------------------------------------
*FoIKS 2026 invites poster contributions presenting fresh research
ideas in the broad area of information and knowledge systems. Poster
papers need not report mature scientific results; they can also
describe early-stage work, starting points for discussions, or novel
perspectives on known problems.*
------------------------------------------------------------------------
*IMPORTANT DATES*
*
*
Submission deadline: December 19, 2025
*
Notification: January 19, 2026
*
Final version due: January 26, 2026
*
Conference: March 23–26, 2026
*
*
*
* The deadlines mentioned above are firm! *
*
*
*
------------------------------------------------------------------------
SCOPE
Suggested topics include, but are not limited to:
*
Mathematical Foundations of Information and Knowledge Systems:
discrete structures, algorithms, graphs, formal languages
*
Database Design and Management: formal models, dependencies,
transactions, concurrency control
*
Logics in Databases and AI: classical and non-classical logics,
logic programming, description logics, spatial/temporal logics,
argumentation, probability and fuzzy logic
*
Knowledge Representation and Reasoning: logical and non-monotonic
reasoning, reasoning under inconsistency, vagueness, or uncertainty
*
Foundations of Neuro-symbolic Reasoning: embeddings for structured
information (knowledge graphs, logical theories, etc.)
*
Intelligent Agents: multi-agent systems, formal models of
interaction, coalition formation, epistemic reasoning
*
Knowledge Discovery and Information Retrieval: machine learning,
data mining, formal concept analysis, association rules,
information extraction
*
Security in Information and Knowledge Systems: privacy, trust,
access control, secure services, inference control, risk management
*
Integrity and Constraint Management: verification, validation,
consistent query answering, information cleaning
*
Knowledge Graphs and Semi-structured Data: data modelling,
processing, compression, and exchange
------------------------------------------------------------------------
SUBMISSION GUIDELINES
Poster papers must use the Springer LNCS LaTeX style
(seehttps://www.springer.com/gp/computer-science/lncs/conference-proceedings…
<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>).Submissions
that deviate substantially from the guidelines may be rejected without
review.
*
Review process: single-blind (submissions are not anonymous).
*
Length: up to 5 pages including all material, i.e. including
references and no additional resources.
*
Submissions: PDF format only (final versions require LaTeX sources).
*
Submission
link:https://easychair.org/conferences/?conf=foiks2026<https://easychair.org/conferences/?conf=foiks2026>
Poster papers will undergo a rather lightweight review process. A good
poster paper should include motivation, a clear problem statement, and
initial results or report on work in progress. Preliminary ideas and
modest extensions of previous work are welcome.
At least one author of each accepted poster paper must register for
the conference. Each accepted poster will be presented in a lightning
talk and a poster session at FoIKS 2026.
For inquiries, contact: foiks2026(a)easychair.org
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PUBLICATION
Accepted poster papers will appear in the FoIKS 2026 proceedings,
published by Springer in the Lecture Notes in Computer Science (LNCS)
series.
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INVITED SPEAKERS
*
Giuseppe De Giacomo (University of Oxford)
*
Floris Geerts (University of Antwerp)
*
Wolfgang Nejdl (Leibniz Universität Hannover)
*
Ana Ozaki (University of Oslo)
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ORGANIZATION
Program Committee Chairs:Anni-Yasmin Turhan (Paderborn University,
Germany)Jonni Virtema (University of Glasgow, UK)
Local Chair:Arne Meier (Leibniz Universität Hannover, Germany)
Publicity Chair:Yasir Mahmood (Paderborn University, Germany)
Local Organizers:Timon Barlag, Nicolas Fröhlich, Vivian Holzapfel,
Rahel Kluge,Laura Strieker, Heribert Vollmer (all Leibniz Universität
Hannover)
Program Committee:Ringo Baumann, Meghyn Bienvenu, Thomas Bolander,
Stefan Borgwardt,Elena Botoeva, Willem Conradie, Fabio Cozman, Thomas
Eiter,Flavio Ferrarotti, Johannes K. Fichte, Valentin Goranko,Guido
Governatori, Marc Gyssens, Miika Hannula, Jelle Hellings,Andreas
Herzig, Martin Homola, Tomi Janhunen, Matti Järvisalo,Gabriele
Kern-Isberner, Sébastien Konieczny, Juha Kontinen,Mena Leemhuis, Joao
Leite, Sebastian Link, Maria Vanina Martinez,Arne Meier, Thomas Meyer,
Daniel Neider, Magdalena Ortiz,Nina Pardal, Elena Ravve, Sebastian
Rudolph, Katsuhiko Sano,Konstantin Schekotihin, Klaus-Dieter Schewe,
Guillermo R. Simari,Jan Van den Bussche, Stefan Woltran, Thomas
Ågotnes, Mantas Šimkus
*
The Data Science Lab of Prof. Lucie Flek at the University of Bonn and
the Lamarr Institute for Machine Learning and Artificial
Intelligence invites applications for a *Senior Postdoctoral Researcher
(m/f/d)* in *Computational Psychology / Human–AI Interaction*.
The position is part of the *ERC-funded project LLMpathy (2025–2030)*,
which investigates how *human psychological traits, values, emotions,
and social cognition can be modeled and empirically linked to the
behavior of large language models* in order to build and evaluate
*socially intelligent AI systems*. The postdoc will take a *leading role
in the design and execution of large-scale human studies* that serve as
the empirical foundation for computational human modeling and social AI
evaluation.
*Responsibilities include:*
– Co-Design and validation of psychometric and interaction-based human
studies
– Development of social interaction and human–AI interaction tasks
– Advanced statistical analysis of human behavioral data
– Close collaboration with AI researchers to translate psychological
constructs into human models for AI evaluation
– Co-Development of Ethics- and GDPR-compliant study governance
– Co-Mentoring of PhD students and scientific publications
*Profile:* PhD in psychology, cognitive science, HCI, computational
social science, or related field, with strong expertise in
*psychometrics, experimental design, and human-subject research*. Strong
AI affinity is required; deep machine learning engineering is
*not* expected.
*Position:* Full-time (TV-L E13/E14) up to *3 years*
*Preferred start:* *March 1, 2025*
*Location:* Bonn, Germany
*Application:* CV, motivation letter, short research summary, referees
(optional)
*Contact:* lflek(a)uni-bonn.de
Applications will be reviewed on a rolling basis, with the first
deadline on *December 13, 2025*
The University of Bonn is an equal-opportunity employer and encourages
applications from women and underrepresented groups.
More information:
https://lamarr-institute.org/wp-content/uploads/Job_Position-ERC_Flek_LLMpa…
<https://lamarr-institute.org/wp-content/uploads/Job_Position-ERC_Flek_LLMpa…>
--
____________________
Prof. Dr. Lucie Flek
Data Science and Language Technologies
Lamarr Institute for AI and ML
Rheinische Friedrich-Wilhelms-Universität Bonn
Friedrich-Hirzebruch-Allee 6 / 8, Raum 2.123
53115 Bonn
Tel.: 0228-73-69200
https://lamarr-institute.org/
We are pleased to announce that applications are now open for a fully-funded PhD position in Natural Language Processing at the Laboratoire Informatique, Image et Interaction (L3i) of La Rochelle University.
🏛️ Topic:
NLP-Driven Digital Twins for the Preservation of Coastal Historical Heritage
Coastal historical buildings represent centuries of heritage but face existential threats from climate change. While physical restoration is urgent, the critical historical and technical data required for accurate reconstruction is often locked in unstructured textual formats (historical archives, architectural logs, and damage reports). Current Digital Twins are often "semantically empty" as they contain geometry but lack historical context. We lack automated methods to interpret complex, often archaic, textual descriptions and map them to digital models for accurate restoration.
This thesis aims to revolutionize heritage conservation by integrating Natural Language Processing (NLP) into the Digital Twin pipeline. The research will focus on fine-tuning LLMs to parse and structure data from historical corpora regarding building materials, past interventions, and degradation history and constructing a dynamic Knowledge Graph that links linguistic data to 3D architectural elements. The outcome will be a system that empowers engineers and historians to interact with heritage data via Natural Language, ensuring that the reconstruction of these landmarks is not just structurally sound, but historically accurate.
📌 Supervised by:
Dr. Georgeta Bordea [https://www.linkedin.com/in/georgeta-bordea-7116851a/] (La Rochelle Université [https://www.linkedin.com/company/la-rochelle-universite/]) and Prof. Ana - Cornelia BADEA [https://www.linkedin.com/in/anacorneliabadea/] (Universitatea Tehnică de Construcții București [https://www.linkedin.com/company/utcbro/]).
🔗More information:
* LRUniv website: https://www.univ-larochelle.fr/en/research-and-innovation/phd/eu-docs-for-s… [https://www.univ-larochelle.fr/en/research-and-innovation/phd/eu-docs-for-s…]
* Euraxess: https://euraxess.ec.europa.eu/jobs/380133 [https://euraxess.ec.europa.eu/jobs/380133]
* Association Bernard Gregory: https://www.abg.asso.fr/fr/recruteurOffres/show/id_offre/133799 [https://www.abg.asso.fr/fr/recruteurOffres/show/id_offre/133799]
📅 Application deadline:
𝟭𝟮 𝗗𝗲𝗰𝗲𝗺𝗯𝗲𝗿 𝟮𝟬𝟮𝟱