30.2534, Confs: Computational Linguistics/Italy

[The LINGUIST List]

LINGUIST List: Vol-30-2534. Mon Jun 24 2019. ISSN: 1069 - 4875.

Subject: 30.2534, Confs: Computational Linguistics/Italy

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Date: Mon, 24 Jun 2019 18:33:24
From: Agata Savary [agata.savary at univ-tours.fr]
Subject: Joint Workshop on Multiword Expressions and Wordnets

 
Joint Workshop on Multiword Expressions and Wordnets 
Short Title: MWE-WN 2019 

Date: 02-Aug-2019 - 02-Aug-2019 
Location: Florence, Italy 
Contact: Agata Savary 
Contact Email: agata.savary at univ-tours.fr 
Meeting URL: http://multiword.sourceforge.net/mwewn2019/ 

Linguistic Field(s): Computational Linguistics 

Meeting Description: 

As a joint event, this workshop  addresses two domains - multiword expressions
and Wordnets - with partly overlapping communities and research interests, but
relatively divergent practices and terminologies.

Multiword expressions (MWEs) are word combinations, such as all of a sudden, a
hot dog, to pay a visit or to pull one's leg, which exhibit lexical,
syntactic, semantic, pragmatic and/or statistical idiosyncrasies. MWEs
encompass closely related linguistic objects such as idioms, compounds, light
verb constructions, rhetorical figures, institutionalised phrases or
collocations. Modelling and computational aspects of MWEs have been covered by
the Multiword Expression Workshop, organised over the past years by the MWE
section of SIGLEX. Because of their unpredictable behavior, and most
prominently their non-compositional semantics, MWEs pose special problems in
linguistic modelling (e.g. treebank annotation and grammar engineering), in
NLP pipelines (e.g. when their orchestration with parsing is concerned), and
in end-use applications (e.g. information extraction or machine translation).

>From its very beginning, Princeton WordNet has included MWEs, and linked their
meanings into a shared network: talk, blab, sing, spill the beans, let the cat
out of the bag, tattle, peach, babble, babble out, blab out ''divulge
confidential information or secrets''. Indeed, over 50% of entries in the
Princeton WordNet of English are MWEs and most other wordnets have a similarly
high percentage. However, MWEs are generally encoded as a string, with no
internal information about syntactic structure or compositionality.  Many
suggestions for richer encodings have been made but not yet widely adopted,
partly because of the cost of adding richer data to already large lexicons.   

For the above reasons, the MWE and WN communities are organizing this joint
event, which should allow better convergences and scientific innovation.
 

Program:

The conference program is available at the event's page:
http://multiword.sourceforge.net/PHITE.php?sitesig=CONF&page=CONF_03_MWE-WN_20
19___lb__ACL__rb__&subpage=CONF_20_Program





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LINGUIST List: Vol-30-2534	
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