32.4061, Calls: Comp Ling, Gen Ling, Lexicography, Semantics, Text/Corpus Ling/France

The LINGUIST List linguist at listserv.linguistlist.org
Thu Dec 30 06:58:43 UTC 2021


LINGUIST List: Vol-32-4061. Thu Dec 30 2021. ISSN: 1069 - 4875.

Subject: 32.4061, Calls: Comp Ling, Gen Ling, Lexicography, Semantics, Text/Corpus Ling/France

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Date: Thu, 30 Dec 2021 01:58:14
From: Archna Bhatia [abhatia at ihmc.org]
Subject: 18th Workshop on Multiword Expressions

 
Full Title: 18th Workshop on Multiword Expressions 
Short Title: MWE 2022 

Date: 25-Jun-2022 - 25-Jun-2022
Location: Marseille, France 
Contact Person: Archna Bhatia
Meeting Email: mweworkshop2022 at gmail.com
Web Site: https://multiword.org/mwe2022/ 

Linguistic Field(s): Computational Linguistics; General Linguistics; Lexicography; Semantics; Text/Corpus Linguistics 

Call Deadline: 08-Apr-2022 

Meeting Description:

18th Workshop on Multiword Expressions (MWE 2022)
Organized and sponsored by SIGLEX, the Special Interest Group on the Lexicon
of the ACL

Full-day workshop colocated with LREC 2022 | Marseille, France | June 25, 2022

MWE 2022 website: https://multiword.org/mwe2022/


Call for Papers:

Multiword expressions (MWEs) are word combinations which exhibit lexical,
syntactic, semantic, pragmatic and/or statistical idiosyncrasies (Baldwin &
Kim 2010). For example, their meaning often does not result from the direct
combination of the meanings of parts. Given their irregular nature, MWEs often
pose complex problems in linguistic modeling (e.g. annotation), Natural
Language Processing (NLP) tasks (e.g. parsing), and end-user applications
(e.g. natural language understanding and Machine Translation). Impressive
progress has been made in the field on modeling and processing MWEs, but our
understanding of MWEs still requires much research.  Hence, we call for papers
on research related (but not limited) to MWEs and constructions in:

- Computationally-applicable theoretical work in psycholinguistics and corpus
linguistics
- Annotation and representation in resources such as corpora, treebanks,
e-lexicons, and WordNets, including for low resource languages
- Processing in syntactic and semantic frameworks (e.g. CCG, CxG, HPSG, LFG,
TAG, UD)
- Discovery and identification methods
- Interpretation of MWEs and understanding of text containing them
- Language acquisition, language learning, and non-standard language (e.g.
tweets, speech)
- Evaluation of annotation and processing techniques
- Retrospective comparative analyses from the PARSEME shared tasks
- Processing for end-user applications (e.g. MT, NLU, summarisation, language
learning, etc.)
- Implicit and explicit representation in pre-trained language models and
end-user applications
- Resources and tools (e.g. lexicons, identifiers) and their integration into
end-user applications
- Adaptation and transfer of annotations and related resources to low-resource
languages
- Processing in low-resource languages (supervised, semi-supervised, and
unsupervised methods for identification, discovery, and interpretation)
- Processing for end-user applications in low-resource languages

There will also be a joint session with the SIGUL 2022 Workshop to foster
future synergies that could address scientific challenges in the creation of
resources, models and applications to deal with multiword expressions and
related phenomena in low-resource scenarios.

Identify, Describe and Share your LRs:
- Describing your LRs in the LRE Map is now a normal practice in the
submission procedure of LREC (introduced in 2010 and adopted by other
conferences). To continue the efforts initiated at LREC 2014 about “Sharing
LRs” (data, tools, web-services, etc.), authors will have the possibility, 
when submitting a paper, to upload LRs in a special LREC repository.  This
effort of sharing LRs, linked to the LRE Map for their description, may become
a new “regular” feature for conferences in our field, thus contributing to
creating a common repository where everyone can deposit and share data.
- As scientific work requires accurate citations of referenced work so as to
allow the community to understand the whole context and also replicate the
experiments conducted by other researchers, LREC 2022 endorses the need to
uniquely Identify LRs through the use of the International Standard Language
Resource Number (ISLRN, www.islrn.org), a Persistent Unique Identifier to be
assigned to each Language Resource. The assignment of ISLRNs to LRs cited in
LREC papers  will be offered at submission time.

Organizing Committee:
Program chairs: Archna Bhatia, Paul Cook and Shiva Taslimipoor
Publication chairs: Marcos Garcia
Communication chair: Carlos Ramisch

More Details: https://multiword.org/mwe2022/




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