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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20221025T102736Z
DTSTART:20221129T140000Z
DTEND:20221129T150000Z
SUMMARY:Advances in Data Science and AI: Aline Villavicencio
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}wjl-l9mmojj
 t-8d1crc
DESCRIPTION:The Advances in Data Science and AI seminar series showcases 
 innovative research in data science and AI from across the world.\n\nThi
 s event is hybrid.\n\nTitle: Computational modelling of idiomaticity in 
 language\n\nContextualised word representation models have been successf
 ully used for capturing distinct (and very specific) word usages\, and t
 herefore could provide an attractive alternative for accurately determin
 ing meaning in language. However\, these models still face a serious cha
 llenge when dealing with non-literal language\, like that involved in Mu
 ltiword Expressions (MWEs) such as idioms (make ends meet)\, light verb 
 constructions (give a sigh)\, verb particle constructions (shake up) and
  noun compounds (loan shark). MWEs are an integral part of the mental le
 xicon of native speakers often used to express complex ideas in a simple
  and conventionalised way accepted by a given linguistic community. Alth
 ough they may display a wealth of idiosyncrasies\, from lexical\, syntac
 tic and semantic to statistical\, that represents a real challenge for c
 urrent NLP techniques\, their accurate integration has the potential for
  improving the precision\, naturalness and fluency of downstream tasks l
 ike machine translation. In this talk\, I will present an overview of ho
 w advances in word representations have made an impact for the identific
 ation and modelling of idiomaticity and MWEs. I will concentrate on what
  models seem to incorporate of idiomaticity\, as idiomatic interpretatio
 n may require knowledge that goes beyond what can be gathered from the i
 ndividual words of an expression (e.g. “dark horse” as an unknown candid
 ate who unexpectedly succeeds).\n\nBio: Aline Villavicencio is the Chair
  in Natural Language Processing at the Department of Computer Science\, 
 University of Sheffield (UK) and affiliated to the Institute of Informat
 ics\, Federal University of Rio Grande do Sul (Brazil). She received her
  PhD from the University of Cambridge (UK) in 2001\, and held postdoc po
 sitions at the University of Cambridge and University of Essex (UK). She
  was a Visiting Scholar at the Massachusetts Institute of Technology (US
 A\, 2011-2012 and 2014-2015)\, at the École Normale Supé¬rieure (France\
 , 2014)\, an Erasmus-Mundus Visting Scholar at Saarland University (Germ
 any in 2012/2013) and at the University of Bath (UK\, 2006-2009). She he
 ld a Research Fellowship from the Brazilian National Council for Scienti
 fic and Technological Development (Brazil\, 2009-2017). She is a member 
 of the editorial board of Computational Linguistics\, TACL and of JNLE. 
 She was the PC Co-Chair of the 60th Meeting of the Association for Compu
 tational Linguistics (ACL 2022)\, and was the PC chair of CoNLL-2019\, S
 enior Area Chair for ACL-2020 and ACL-2019 among others and General co-c
 hair for the 2018 International Conference on Computational Processing o
 f Portuguese. She is also a member of the NAACL board\, SIGLEX board and
  of the program committees of various *ACL and AI conferences\, and has 
 co-chaired several *ACL workshops on Cognitive Aspects of Computational 
 Language Acquisition and on Multiword Expressions. Her research interest
 s include lexical semantics\, multilinguality\, multiword expressions an
 d cognitively motivated NLP\, and has co-edited special issues and books
  dedicated to these topics.\n\n\nPlease book via ADSAI Eventbrite link u
 nder More Information. \n\n\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:3.204 \, University Place\, Manchester
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