Ready to experience the future of multilingual communication?
We're excited to launch TCeXcellerate, a brand-new online series
spotlighting innovation at the intersection of language, AI, and
professional practice.
Our very first session is just around the corner--free and open to all!
First Session of TCeXcellerate
Tuesday, 9 December 2025
16:00-18:00 CET
Online | Free access (registration required)
Topic: _Multilingual AI technologies at WIPO - Practical examples_
Speaker: _Daniel Torregrosa, World Intellectual Property Organization
(WIPO)_
From machine translation and speech-to-text to the newest large language
model applications, this inaugural session will offer a
behind-the-scenes look at how WIPO is transforming its multilingual
services through cutting-edge AI.
Expect:
* Practical demonstrations of real-world AI tools
* Expert insights into what works today--and what's still evolving
* Reflections on where human expertise remains essential
* A live Q&A and open discussion
Whether you're a language professional, researcher, technology
developer, or simply AI-curious, this session is for you.
Let's kick off this new knowledge-sharing journey together--one that
keeps people, purpose, and professionalism at the center of language
innovation.
👉 Register here: https://asling.org/tc47/tcex_reg/
We look forward to seeing you there!
--
Amal Haddad Haddad (She/her)
Facultad de TraducciĂłn e InterpretaciĂłn
Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad
Lexicon Research Group |http://lexicon.ugr.es/haddad
===============
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Call For Participation HIPE 2026 – CLEF Shared Task on Person-Place
Relation Extraction from Multilingual Historical Texts
*(apologies for cross-postings)*
------------------------------
*HIPE:* Identifying Historical People, Places and other Entities.
*Website:* https://hipe-eval.github.io/HIPE-2026/
*Tasks:* Person-Location Relation Extraction from Multilingual Historical
Texts.
*Registration:* https://clef-labs-registration.dipintra.it/ (until 23 April
2026)
*Training data releases:* 19 Dec 2025 (partial); 19 Jan 2026 (full)
*Evaluation period:* 5–7 May 2026
*Workshop venue:* during CLEF conference, 21–24 September 2026, Jena,
Germany.
*LinkedIn:* @ImpressoProject / #HIPE2026 / @clef_initiative / #clef2026
------------------------------
"Who was where when?"
We invite participation in the third edition of the HIPE shared task,
dedicated to the extraction of person–place relations in multilingual
historical documents. Building on the success of HIPE-2020 and HIPE-2022,
which focused on entity recognition and linking, HIPE-2026 aims to enable
finer-grained analysis of entities and support the accurate reconstruction
of individuals’ geographical and temporal trajectories.
The objective of HIPE-2026 is to *build systems capable of determining
whether a relation holds between a person and a location (place) mentioned
in a document*, and classify its temporal scope. Participants are asked to
develop systems that determine, for each (person, location) pair associated
with a historical document, whether the text implies that the person is at
that location within the document’s temporal horizon (isAt relation), or
that the person was there at some earlier moment in their life (a more
general At relation), or that no such link can be established.
Can large language models take up the challenges? Simple co-occurrences of
entity mentions in a text are not sufficient to uncover the implicit and
explicit, temporally anchored relations between person and locations.
Addressing this challenge requires temporal reasoning, geographical
inference, and the interpretation of noisy historical texts (often with
only fragmentary contextual cues) to classify person–location relations
with varying degrees of certainty.
The task is designed to be tackled by generative AI systems/LLMs as well as
by more traditional classification approaches.
HIPE-2026 features two evaluation profiles
- *Accuracy Profile*: Focusing on system performance in relation
classification.
- *Efficiency Profile*: Rewarding scalable, lightweight approaches
considering model size and compute cost.
- *Generalization Profile*: An unseen dataset from a different domain
will be included to evaluate systems’ ability to generalise beyond the
newspaper domain data.
For the accuracy and efficiency profile, training and test data originate
from historical newspapers in English, German, French and Luxembourgish.
Entity pairs will be provided.
For further information on data, tasks, and evaluation settings
- HIPE-2026 website: https://hipe-eval.github.io/HIPE-2026/
- Participation Guidelines: https://doi.org/10.5281/zenodo.17800136
- HIPE-2026-data GitHub repository:
https://github.com/hipe-eval/HIPE-2026-data
On HIPE shared tasks
HIPE evaluation lab series is part of the ongoing efforts of the natural
language processing and digital humanities communities to adapt and develop
technologies to efficiently retrieving and exploring information from
historical texts.
Important dates
- 17 Nov 2025: Lab registration opens.
- 03 Dec 2025: Release of example data.
- 19 Dec 2025: Release of partial training data.
- 19 Jan 2026: Release of final training data.
- 23 Apr 2026: Lab registration closes.
- 05 May 2026: Test data release (10:00 CEST).
- 07 May 2026: Participant run submission deadline.
- 13 May 2026: Publication of results and release of test data.
- 28 May 2026: Submission of participant notebook paper.
- 10 Jul 2026 / 31 Aug 2026: CLEF conference regular/late registration
DL.
- 21 Sep 2026: CLEF 2026 Conference.
Best regards,
*HIPE-2026 Shared Task Organizers*
https://hipe-eval.github.io/HIPE-2026/
Nakba-NLP 2026
2nd International Workshop on Nakba Narratives as Language Resources
Part of the LREC-2026 Conference
Palma de Mallorca, Spain
May 11-16, 2025
https://sina.birzeit.edu/nakba-nlp [1]
We invite submissions for Nakba-NLP 2026, a workshop dedicated to
exploring and preserving Nakba narratives through the application of
artificial intelligence, natural language processing, and corpus
linguistics. We seek contributions on the following topics:
- Digitisation of oral and written narratives
- Creation and labelling of language corpora and datasets
- Digital archives, metadata, and semantic/content mark-up
- Annotation tools and annotation guidelines
- Document classification, topic modelling, and information retrieval
- Named entity recognition for identifying people, places,
organizations, and events
- Entity linking and relationship extraction
- Event detection and event argument extraction
- Knowledge Graphs and Linked Data
- Vocabularies, dictionaries, and ontologies
- Data visualization
- Knowledge representation
- Machine translation, summarisation, and paraphrasing
- Natural Language Generation
- Large Language Models
- Sentiment analysis and emotional content extraction
- Discourse analysis (e.g., bias, offensive language, and
misinformation) related to Nakba narratives
Participants are invited to use the following archives: Institute for
Palestine Studies [2], The Palestinian Museum [3], Nakba-Archive [4],
POHA [5], Alhaq [6], ICHR [7] as well as Wikipedia and the Wikidata
Knowledge Graph.
Important Dates:
=====================
All deadlines are 11:59 pm UTC-12 (anywhere on Earth).
* Submission Deadline: 20 February 2026
* Reviewing Period: 21 February 2026 - 10 March 2026
* Notification of Acceptance: 11 March 2026
* Camera Ready paper submission Hard Deadline: 30 March 2026
* Workshop Date: 11, 12 or 16 May, 2026
Organizing Committee:
=====================
* Mustafa Jarrar, Birzeit University
* Mo El-Haj, VinUniversity
* Camille Mansour, Paris-Sorbonne University
* Khalil Simaan, University of Amsterdam
* Paul Rayson, Lancaster University
* Serin Atiani, Princess Sumaya University
* Shadi Abudalfa, King Fahd University of Petroleum & Minerals
* Amal Haddad, University of Granada
--
Amal Haddad Haddad (She/her)
Facultad de TraducciĂłn e InterpretaciĂłn
Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad
Lexicon Research Group |http://lexicon.ugr.es/haddad
Co-Convenor, BAAL SIG 'Humans, Machines,
Language'|https://r.jyu.fi/humala
Event Coordinator, BAAL SIG 'Language, Learning and Teaching'
===============
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error, se ruega lo comunique inmediatamente por esta misma vĂa y proceda
a su destrucciĂłn.
This message is intended exclusively for its addressee and may contain
information that is CONFIDENTIAL and protected by professional
privilege. If you are not the intended recipient you are hereby notified
that any dissemination, copy or disclosure of this communication is
strictly prohibited by law. If this message has been received in error,
please immediately notify us via e-mail and delete it"
===============
Links:
------
[1]
https://urldefense.com/v3/__https:/sina.birzeit.edu/nakba-nlp__;!!D9dNQwwGX…
[2]
https://urldefense.com/v3/__https:/www.palestine-studies.org/__;!!D9dNQwwGX…
[3]
https://urldefense.com/v3/__https:/palmuseum.org/en__;!!D9dNQwwGXtA!Rvgn3Oo…
[4]
https://urldefense.com/v3/__https:/www.nakba-archive.org/__;!!D9dNQwwGXtA!R…
[5]
https://urldefense.com/v3/__https:/libraries.aub.edu.lb/poha/__;!!D9dNQwwGX…
[6]
https://urldefense.com/v3/__https:/www.alhaq.org/__;!!D9dNQwwGXtA!Rvgn3OoSA…
[7]
https://urldefense.com/v3/__https:/www.ichr.ps/en__;!!D9dNQwwGXtA!Rvgn3OoSA…
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.