30.962, Calls: Computational Linguistics/Italy

[The LINGUIST List]

LINGUIST List: Vol-30-962. Thu Feb 28 2019. ISSN: 1069 - 4875.

Subject: 30.962, Calls: Computational Linguistics/Italy

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Date: Thu, 28 Feb 2019 23:57:29
From: Agata Savary [agata.savary at univ-tours.fr]
Subject: Joint Workshop on Multiword Expressions and Wordnets

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

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

Linguistic Field(s): Computational Linguistics 

Call Deadline: 26-Apr-2019 

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. 


Call for Papers:

We call for papers focusing on research related (but not limited) to the
following topics. 

Joint topics on MWEs and Wordnets:

- Encoding MWEs in wordnets --- how can we take advantage of the existing rich
structure of wordnets?
- Encoding MWEs in wordnets --- consequences for a lexical-semantic
organization of MWEs
- Linking wordnets with existing MWE lexicons
- Word sense disambiguation for single-word and multiword expressions 
- Cross-wordnet and cross-language comparisons of MWEs
- MWEs in sense-annotated corpora
- Semantic relations in wordnets related to MWEs

MWE-specific topics:

- Computationally-applicable theoretical studies on MWEs and constructions in
psycholinguistics, corpus linguistics and formal grammars
- MWE and construction annotation in corpora and treebanks
- MWE and construction representation in manually/automatically constructed
lexical resources
- Processing of MWEs and constructions in syntactic and semantic frameworks
(e.g. CCG, CxG, HPSG, LFG, TAG, UD, etc.), and in end-user applications (e.g.
information extraction, machine translation and summarization)
- Original discovery and identification methods for MWEs and constructions
- MWEs and constructions in language acquisition and in non-standard language
(e.g. tweets, forums, spontaneous speech)
- Evaluation of annotation and processing techniques for MWEs and
constructions 
- Retrospective comparative analyses from the PARSEME shared tasks on
automatic identification of MWEs

Note that, with the intention to also perpetuate previous converging effects
with the Construction Grammar community (see the LAW-MWE-CxG 2018 workshop),
we extend the traditional MWE scope to include grammatical constructions.

Visit the website for submission information: 
http://multiword.sourceforge.net/mwewn2019/




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