**1st  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)

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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 dates: March 24-29, 2026

All deadlines are at 23:59 UTC-12 (Anywhere on Earth).

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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-call#call_for_participation>
:

   -

   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/PMWE_series_conventions_for_multilingual_examples.pdf>
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 [email protected].
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