LINGUIST List 30.4494

Tue Nov 26 2019

Calls: Computational Linguistics/Spain

Editor for this issue: Everett Green <everettlinguistlist.org>



Date: 21-Nov-2019
From: Petya Osenova <petyabultreebank.org>
Subject: Joint Workshop on Multiword Expressions and Electronic Lexicons
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Full Title: Joint Workshop on Multiword Expressions and Electronic Lexicons
Short Title: MWE-LEX 2020

Date: 14-Sep-2020 - 14-Sep-2020
Location: Barcelona, Spain
Contact Person: Petya Osenova
Meeting Email: < click here to access email >
Web Site: http://multiword.sourceforge.net/mwelex2020/

Linguistic Field(s): Computational Linguistics

Call Deadline: 20-May-2020

Meeting Description:

The joint MWE-LEX workshop addresses two domains – multiword expressions and (electronic) lexicons – with partly overlapping communities and research interests, but divergent practices and terminologies.

Multiword expressions (MWEs) are word combinations, such as by and large, hot dog, pay a visit or pull one's leg, which exhibit lexical, syntactic, semantic, pragmatic or statistical idiosyncrasies. MWEs encompass closely related linguistic objects: idioms, compounds, light-verb constructions, rhetorical figures, institutionalised phrases and collocations. Because of their unpredictable behavior, notably their non-compositional semantics, MWEs pose problems in linguistic modelling (e.g. treebank annotation, grammar engineering), NLP pipelines (notably when orchestrated with parsing), and end-user applications (e.g. information extraction). Modelling and processing of MWEs has been the topic of the MWE workshop, organised over the past years by the MWE section of SIGLEX.

Because MWE-hood is a largely lexical phenomenon, appropriately built electronic MWE lexicons turn out to be quite important for NLP. Their conception opens up, among others, the issues of lemmatization and of standardised representation of morphological, syntactic and semantic properties of MWEs. Large standardised multilingual, possibly interconnected, NLP-oriented MWE lexicons prove indispensable for NLP tasks such as MWE identification, due to its critical sensitivity to unseen data. But the development of such lexicons is challenging and calls for tools which would leverage, on the one hand, MWEs encoded in pre-existing NLP-unaware lexicons and, on the other hand, automatic MWE discovery in large non-annotated corpora.

Call for Papers:

In order to pave the way towards a better understanding of these issues, and to foster convergence and scientific innovation, the MWE and ELEXIS (European Union's Horizon 2020 research grant 731015) communities put forward a joint event. We call for papers on research related (but not limited) to:

Joint topics on MWEs and e-lexicons:

- Extracting and enriching MWE lists from traditional human-readable lexicons for NLP use
- Formats for NLP-applicable MWE lexicons
- Interlinking MWE lexicons with other language resources
- Using MWE lexicons in NLP tasks (identification, parsing, translation, etc.)
- MWE discovery in the service of lexicography
- Multiword terms in specialized lexicons
- Representing semantic properties of MWEs in lexicons
- Paving the way towards encoding lexical idiosyncrasies in constructions

MWE-specific topics:

- Computationally-applicable theoretical work on MWEs and constructions in psycholinguistics, corpus linguistics and formal grammars
- MWE and construction annotation in corpora and treebanks
- 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

Our intention is to also perpetuate previous converging effects with the Construction Grammar and WordNet community (see the LAW-MWE-CxG 2018 and MWE-WN 2019 workshops). Therefore, and we extend the traditional MWE scope to grammatical constructions and we include WordNets in the scope of e-lexicons.

For submission information, visit our website.




Page Updated: 26-Nov-2019