**3rd CALL FOR PARTICIPATION**
Two peas in a pod:PARSEME 2.0 and AdMiRe 2.0
multilingual UniDive shared tasks
on idiomaticity and multiword expressions
https://unidive.lisn.upsaclay.fr/doku.php?id=other-events:parseme-admire-st-call#call_for_participation
<https://unidive.lisn.upsaclay.fr/doku.php?id=other-events:parseme-admire-st-call#call_for_participation>
Expression of interest:
https://forms.gle/rwSfUmNR1sTsHDfx6
<https://forms.gle/rwSfUmNR1sTsHDfx6>
====================================================================
The UniDive COST Action
<https://unidive.lisn.upsaclay.fr/>is happy to
announce ADMIRE 2 and the PARSEME 2.0 shared tasks
dedicated to detecting and interpreting
idiomaticity and multiword expressions(MWEs). MWEs
are groups of words that have non-compositional
semantics, i.e. their meanings cannot be
straightforwardly deduced from the meanings of
their components. For instance, a bad appleis a
person who has a bad influence on others.
Both shared tasks will take place together and we
hope to co-organise the workshop with SIGLEX-MWE
section <https://multiword.org/>and co-locate it
with EACL 2026 in Morocco(24-29 March 2026).
The participating teams are to submit the results
of their systems on CodaBench
<https://www.codabench.org/>. The submission links
will be published at the same time as the test data.
We are delighted to confirm that UniDive
<https://unidive.lisn.upsaclay.fr/>will provide
funding
<https://unidive.lisn.upsaclay.fr/doku.php?id=other-events:parseme-admire-st-call#funding_from_unidive>for
selected system presenters.
Important dates
-----------------
*
[1 OCTOBER] Training data and baseline systems
released
*
[3 DECEMBER] Publication of test blind data
*
[8 DECEMBER] Submission of system predictions
*
[19 DECEMBER] Systems evaluated
*
[5 JANUARY] Submission deadline for system
description papers
*
[9-23 JANUARY] Reviewing period (system teams
will participate as reviewers)
*
[3 FEBRUARY] Submission deadline for
camera-ready papers
*
[24-29 MARCH 2026] EACL, including the MWE
workshop(to confirm)
PARSEME 2.0is a shared task whose main objective
is to identify and paraphrase multiword
expressions (MWEs) in written text. We propose two
subtasks: the first corresponds to the classical
identification task in running text. The second
consists in paraphrasing a sentence containing a
MWE, so as to remove idiomaticity. Data annotation
is finished and 17 languages are covered: Dutch,
Egyptian (ca. 2700-2000 BC), French, Georgian,
Greek (Ancient), Greek (Modern), Hebrew, Japanese,
Latvian, Persian, Polish, Portuguese (Brazilian),
Romanian, Serbian, Slovene, Swedish, and
Ukrainian. Subtask 1 is on MWEs identification and
Subtask 2 on paraphrasing MWEs.
AdMIRe 2.0 (Advancing Multimodal Idiomaticity
Representation) addresses the challenge of
multilingual and multimodal idiomatic language
understanding by evaluating how well models
interpret potentially idiomatic expressions (PIEs)
across languages and across modalities using both
text and images. This new edition extends the
AdMIRe 1 task
<https://arxiv.org/pdf/2503.15358>adding more
languages from the UNIDIVE network and beyond.
Given a context sentence containing a PIE and a
set of five images, the task is to rank the images
based on how accurately they depict the meaning of
the PIE used in that sentence. The task will be
zero-shot for newly introduced languages. While
the task is designed to encourage participation
from teams working on multilingual and multimodal
technologies, it also accommodates approaches
focused only on a subset of the languages and on a
single modality (text) with automatically
generated descriptive captions for each image,
allowing models to rely exclusively on text input
if desired.
Data
-----------------
*
Training data for AdMiRe 2.0:
https://semeval2025-task1.github.io/data/training/training_data.html
<https://semeval2025-task1.github.io/data/training/training_data.html>
*
Training data for PARSEME 2.0:
https://gitlab.com/parseme/sharedtask-data/-/tree/master/2.0
<https://gitlab.com/parseme/sharedtask-data/-/tree/master/2.0>
Organizing team
---------------
PARSEME 2.0:
*
Manon Scholivet, Université Paris Saclay, LISN, FR
*
Takuya Nakamura, Université Paris Saclay, LISN, FR
*
Agata Savary, Université Paris Saclay, LISN, FR
*
Éric Bilinski, Université Paris Saclay, LISN, FR
*
Carlos Ramisch, Aix-Marseille Université, LIS, FR
ADMIRE 2 :
*
Adriana Pagano
<https://secure-web.cisco.com/1YAGKjWKddhtqiA-9wwpTzBrRHqMWqraLLDCi63yoSQPHp6JzkG7MMNc_xJW6oSUfN8Rb4SK_rEZsgVpOALFOvKjsYIqQu4DeHiUK6yI7BgRqXNrY6wUwbBJ6qxvbzeCFrNXo4HSOk8XdNG8KI96dwmGoL5OIekSc5TneopjLnCAaNlgqn_P3VBXIepiN_Ugp4omyx-8d-umu45sDF4TyFska85zs8obGviZM_2A5djLHSx-FiI6aAUFzqWWQhfo21kunI15L71V9Myeyv5SXRfIvFdN2AXpNOWgCjeTG8dnmgu63jwgsb0NNwCl0WLaV8ET9PanLcJy5STgWrrLccFyqcLxnB6qXP9S-kFgeFvbvyMpKRZOS-GZ27kXGJ-2iGil1xzM-DkSbwCBeUC_fJ1geeZvJ0fxHsgy0dKSkB8isPsKwmNsLKqh_NzmM0jMl/https%3A%2F%2Fscholar.google.com%2Fcitations%3Fuser%3DiMOX_EQAAAAJ%26hl%3Den%26oi%3Dao>,
Universidade Federal de Minas Gerais, BR
*
Aline Villavicencio
<https://secure-web.cisco.com/17hRYtc48CxUTuQ_Lm5LvtIDhREp6JpTTNFu3smb4Yyjp1t-ZYTTiKJ76cWGuHHEtrXG68X6FiR-4HDkGwLqaDkcXfVv2nMiKRWjUlZU6n2oCRbl0S2Hiw30qpWho3cTwwS87N01akYdnx0rt4n_WRt5ko4dXMCynI56UCrTdZwrRCvRNyF171D1R7Sy3C4lEdwJkvaIzVEDyESZIIYbgiVKsWVpD1iIC2vCViMQND6TxAbMKBlCPH3wVNXosvlT_CKZ-v88dfXPqETPdUKaXwBJ0besXP886okw8NiyCIrcCdk-h_I4j74GeYUxF14Yf1GId204tRROVhAMt3N4gvOjuYKn-3EpnVi4q2D-xzfsNbQ1vPCgI5_J9KIP2FI8kZMrCTFyyI1HehSdtXRbX0gBHdHV1nzVWKEcacU42H9PtqqJt-gpovpaj_nlSoti0/https%3A%2F%2Fsites.google.com%2Fview%2Falinev>,
University of Exeter, UK
*
Dilara Torunoğlu Selamet
<https://secure-web.cisco.com/1U3Kz5oRS8032U7C3ikqTwLrLuHnRujaiXILauGPxfilqd9s2DYa4BATZHtLbQv0k0b93vZcLA5DbrxRH_MMMVHGjXROvFjwCVsgFE1omyBtCKp1Ury0dvevJyHmr5C6vW6OfUKE7kn4EG7krmKISwu7nLg9gNYTuPU3ffJuu7JJw3RJo7WL44E-7AryG_vH78UIfvrIEQ4fj4i9FmkqrY64AeDr_k-aSbuywTepmtl6zPdn5QxSeuMMdjMp9TNa_-MioQGceBQNlpPncC9Eqi86k1WUlZKBgy6u48BFzThH-zlB5QLUcXtraDlVspa9VXWVdzBy23N2yg63B84zr4z5Pay15dJ1t9o6Hb7TKbu_V9JX_j3F356oXa6uZ8k4f2pTnntiz37i-7NY4y54Ty87bk3ZzVgK4sY742bVLeIdhOP_kY-Jo4T62M-WA0VV6/https%3A%2F%2Fscholar.google.com%2Fcitations%3Fuser%3DmkpbvoAAAAAJ%26hl%3Den>,
Istanbul Technical University, TR
*
Doğukan Arslan
<https://secure-web.cisco.com/1iCwzaJ-FPO1KSa7r0luNlHcUTrCy6K9Wm8I3pk9d_-iG8heqqeEJ77iB6lyaQN-F0LAZzYmtI7x8W_Gpj60y4EPlRLm0rTfZFrp18nafhbqnEh5ykWbWDn-_Q49r_xhc1AjX-ZvTFufiD0jN0WlxGI6kv0VnRcoTpj6FydCADWokGi9w57DNNGptHalWg6h17LT402wyBGXpjNFJKNY3FuHwZG1Ul-65JclARG89wWsuMNvTwLPsmy85OyAG0clZCdSFmsTauyNZ6_BqtUt_-BPqtYnOoberPRtuLxjbvGmjzj-h0o0iChNMRmlZHjyPnHBOtYfrW6G-zIICY_-PzBmZ7b5lQMi7TdNIBMC-QbWyidCmbjA3OC6UKNO1bZWR9X2lUjiY4xP-V40HfZ-MZELZOupwT2P_fKgZhCfumehFOoKCyLN9BA1SrPL2yy2S/https%3A%2F%2Fscholar.google.com%2Fcitations%3Fuser%3D8Lc2J1cAAAAJ%26hl%3Den%26oi%3Dao>,
Istanbul Technical University, TR
*
Gülşen Eryiğit
<https://secure-web.cisco.com/1nP_yCeZKo55vzyCSp6J79GtmP_8EODYLoOnic4AHIQmdVVSbWrI4o9vs18jhIvDjYZJlBn4V-uH2nPLt-yQFB5OVlfoSypTpGEl2u4Qq0J5_Vo6D0BgwJY8CxTRWMH210_nnfkK3yilY7zXxuthVnmCtfoUXtEoY2LLPYh4RKSQrnsYe2zVG4TVSnPweq-kWxtDxW29LE8TKPQ_Gi-KXdnj0DnirajmECQvofq8e2QUm3sg7ZCMwG8A7Wk7yYYa8goz1SvZvS1rP_m69XMvX0sXcIKh7C0rS10zaljWJ7LgPNoyMcFH5nefM8DWm2EAjKgU_vUrGZLoOc6jcMd37mu_vU6iKiZaL7cn03chwbjVgNmrx0PEgnDko3CrKyEp-xTy5fyFSmaNjByDCl7CXwNOh7iMw4cCEEpJbIWM9EW_c5Sy14R84C1_-THfcur4M/https%3A%2F%2Fscholar.google.com%2Fcitations%3Fuser%3D25CpSdkAAAAJ%26hl%3Den%26oi%3Dao>,
Istanbul Technical University, TR
*
Rodrigo Wilkens
<https://secure-web.cisco.com/1zTIs9aO7VfKy_Sg1CYj8xiCPOZhZHkSPR2xYyMQE456pFOwbuGIb4QhZQSJf6zMyEENPy3O3sJH7ze88Zt2InF9a6c5mFSo73MHahGLxS-syueWOb7GvRTYCsTA3DoW8R13uQhpsdWdUBXc6iSryQYC1j-S0-q1JX3qBsdGZ8YRaWGDQS4yqtxqzrAFZY8-NQViX1L0ePiLEIAJMsjxiAD6FwvJmuX0B85xzyOmsL5DFyhaBCA4ASTPhrLfGyLwMyKvTfT1UqabSj-V8fnF0y3C60GA4EwGcAyCsuCXeyQdaLJGZWY5YrjOXDZC-fhFLWCMACP8jOI-_rr26luWyGeyPULA1TnvPbuzTkK3Yr7CYih0d5eGPxmj45CD3Qz02x2BzzBg7hpO0bCYP1-hkX4ZF92OiZRhMLufJtWrTewCkFkJTvV_w4O6UOmhEC_Qw/https%3A%2F%2Fscholar.google.com%2Fcitations%3Fuser%3D-sIkqlEAAAAJ%26hl%3Den>,
University of Exeter, UK
*
Tom Pickard
<https://secure-web.cisco.com/1AbiBJ6cGhN9SrjpkIlBYQeo08-8YJIDUds7Qfs3H5_KpLA_V-ch8z7OswbGtHeu4XmkN_V8aoQ0dTj7AOpa2FrkSW9HEpniqKuUWKcJu4xplZ9wZfCMXmVr5AmZg6M0Xuq6xjRhxn5LA4hk2cOcPXxZJS8riEzReClS0Uiio2X1SiJwrMqiMIJik2I3Ork6PT93p4Dot3K_QbCHI3VQkPWu3WtvXZKYCc-fW9JJ3hktCdDfqN2pOmtJ0CAK5rPTe07jrG7AjrLTJMBxV8Go_icARjJBccJb62HHDHb8gbEUZEpDyjNNh6n5uMt1HG9MgRlUDs6lVBNynQtc9cVBDWTcU6vm5lDLrZWJ7ChUo1G7vzt1WNvGi1PSRPCH1U6SaU4shG9wNKXdw8YUXoYBwgUXmJKgxG3_6Iovrrqoe2UZEGXmbv6yH6szXUmdLm1Dc/https%3A%2F%2Fscholar.google.com%2Fcitations%3Fuser%3DUYm_kHQAAAAJ%26hl%3Den>,
University of Sheffield, UK
*
Wei He
<https://secure-web.cisco.com/1HrUa3BUU6pl9p4Ia2mMqmEqrPU834VAhFFDUvAV6PbjrP0am1IpGIldulAI5J7d6TtU9BBIlQIni_4tG569zjT3bhAqndAwFtSwE0RXS7EOk1y28NM0NjPanoLkd9SSc93Ogn3wwI2ouejzpZ259UMiGKWMrDstlUdxoGkHehustI4EanOAT80NL-Ir3gZ_y9UHQwSIS9OuyV7LYHiOlWm_4p8CU6y_VPEsFi0esLs2xNraFvBFdRIE1MVKEzdDf58Iv9u2-XSZyHju3v1-9CfY5kVSLBw9leOn0TC5w4TqGiAWSYk6jMlcVJwJsDDSGNjycsL56jsvZ68_0j2epv9BzGJYOQNkGhiOmTCs_YLDjQKwre_0fCDfgHjNhOF0rOLMGpZHY3R_NE7jRnW443Mg57jQne3qcxWVbQjfHhX0ssboHFhCi_8_-Zf-IX3Ao/https%3A%2F%2Fscholar.google.com.hk%2Fcitations%3Fuser%3D3BWaQ4cAAAAJ%26hl%3Dzh-CN>,
University of Exeter, UK
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