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UID:0-302@lisn.upsaclay.fr
DTSTART;TZID=Europe/Paris:20250917T140000
DTEND;TZID=Europe/Paris:20250917T140000
DTSTAMP:20250912T082208Z
URL:https://www.lisn.upsaclay.fr/evenements/less-than-meets-the-eye-repres
 enting-compounds-in-large-language-models/
SUMMARY:Less than Meets the Eye: Representing Compounds in Large Language M
 odels
DESCRIPTION:Large language models have been successfully used for capturing
  distinct (and very specific) word usages\, and therefore could provide an
  attractive alternative for accurately determining meaning in language. Ho
 wever\, these models still face a serious challenge when dealing with non-
 literal language\, like that involved in Multiword Expressions (MWEs) such
  as idioms (make ends meet)\, light verb constructions (give a sigh)\, ver
 b particle constructions (shake up) and noun compounds (loan shark). MWEs 
 are an integral part of the mental lexicon of native speakers often used t
 o express complex ideas in a simple and conventionalised way accepted by a
  given linguistic community. Although they may display a wealth of idiosyn
 crasies\, from lexical\, syntactic and semantic to statistical\, that repr
 esents a real challenge for current LLMs\, their accurate integration has 
 the potential for improving the precision\, naturalness and fluency of man
 y tasks. In this talk\, I will present an overview of how advances in LLMs
  have made an impact for the identification and modelling of idiomaticity 
 and MWEs. I will concentrate on what models seem to incorporate of idiomat
 icity\, as idiomatic interpretation may require knowledge that goes beyond
  what can be gathered from the individual words of an expression (e.g. “
 dark horse” as an unknown candidate who unexpectedly succeeds). I will a
 lso present an initiative to construct a multilingual idiomatic dataset.\n
 Short Bio\nAline Villavicencio is the Director of the Institute of Data Sc
 ience and Artificial Intelligence\, University of Exeter\, affiliated to t
 he  Department of Computer Science\, University of Sheffield (UK)\, is a 
 member of ELLIS and has a Fellowship at the Alan Turing Institute. Before 
 these\, she held academic positions in the Institute of Informatics\, Fede
 ral University of Rio Grande do Sul\, Brazil (between 2005 and 2021) and i
 n the School of Computer Science and Electronic Engineering\, University o
 f Essex\, UK. \nShe received her PhD from the University of Cambridge (UK
 ) in 2001\, and held postdoc positions at the University of Cambridge and 
 University of Essex (UK). She was a Visiting Scholar at the Massachusetts 
 Institute of Technology (USA\, 2011-2012 and 2014-2015)\, at the École No
 rmale Supé­rieure (France\, 2014)\, an Erasmus-Mundus Visting Scholar at
  Saarland University (Germany in 2012/2013) and at the University of Bath 
 (UK\, 2006-2009). &nbsp\;She held a Research Fellowship from the &nbsp\;Br
 azilian National Council for Scientific and Technological Development (Bra
 zil\, 2009-2017). She is a member of the editorial board of Computational 
 Linguistics\, TACL and of JNLE. She is the General Chair of EACL 2026 and 
 was the PC Co-Chair of ACL 2022\, CoNLL 2019\, Senior Area Chair for EMNLP
  2025\, ACL 2020 and ACL 2019 among others and General co-chair for the 20
 18 International Conference on Computational Processing of Portuguese. She
  was also a member of the NAACL board\, SIGLEX board and of the program co
 mmittees of various *ACL and AI conferences\, and has co-chaired &nbsp\;se
 veral *ACL workshops on Cognitive Aspects of Computational Language Acquis
 ition and on Multiword Expressions. Her research interests include lexical
  semantics\, multilinguality\, multiword expressions and cognitively motiv
 ated NLP\, and has co-edited special issues and books dedicated to these t
 opics.
CATEGORIES:Séminaires
LOCATION:LISN Site Belvédère\, Rue du Belvédère  Campus universitaire b
 ât 507 91405 Orsay\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rue du Belvédère  Campus 
 universitaire bât 507 91405 Orsay\, France;X-APPLE-RADIUS=100;X-TITLE=LIS
 N Site Belvédère:geo:0,0
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BEGIN:DAYLIGHT
DTSTART:20250330T030000
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