31.1742, Calls: Comp Ling, Gen Ling/Viet Nam
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LINGUIST List: Vol-31-1742. Tue May 26 2020. ISSN: 1069 - 4875.
Subject: 31.1742, Calls: Comp Ling, Gen Ling/Viet Nam
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Date: Tue, 26 May 2020 13:47:47
From: Valia Kordoni [evangelia.kordoni at anglistik.hu-berlin.de]
Subject: PACLIC Workshop on Multiword Expressions in Asian languages
Full Title: PACLIC Workshop on Multiword Expressions in Asian languages
Date: 25-Oct-2020 - 25-Oct-2020
Location: Hanoi, Viet Nam
Contact Person: Jong-Bok Kim
Meeting Email: jongbok at khu.ac.kr
Web Site: https://vlsp.org.vn/paclic2020/mwea
Linguistic Field(s): Computational Linguistics; General Linguistics
Call Deadline: 13-Jun-2020
Meeting Description:
Under the denomination ''multiword expression'' (MWE), we assume a wide range
of linguistic constructions such as idioms (storm in a teacup, sweep under the
rug), fixed phrases (in vitro, by and large, rock'n roll), noun compounds
(olive oil, laser printer), compound verbs (take a nap, bring about), etc.
While easily mastered by native speakers, their interpretation poses a major
challenge for computational systems, due to their flexible and heterogeneous
nature.
For a start, MWEs are not nearly as frequent in linguistic and NLP resources
as they are in real world texts, and this problem of coverage may impact the
performance of many language technology tasks. Moreover, treating MWEs also
involves problems like understanding their semantics, which is not always
compositional (e.g., “to kick the bucket”meaning “to die”). In sum, MWEs are a
key issue and a current weakness for natural language parsing and generation,
as well as for real-life applications depending on language technology, such
as machine translation, just to name a prominent one among many.
Thanks to the joint efforts of researchers from several fields working on
MWEs, significant progress has been made in recent years, especially
concerning the construction of large-scale language resources. For instance,
there is a large number of recent papers that focus on acquisition and
linguistic analysis of MWEs from corpora, and others that describe a variety
of techniques to find paraphrases for MWEs. Current methods use a plethora of
tools such as association measures, machine learning, syntactic patterns, web
queries, etc. A considerable body of techniques, resources and tools to
perform these tasks are now available, and are indicative of the growing
importance of the field within the linguistics and computational linguistics
communities.
Call for Papers:
We are interested in major challenges in the overall process of MWE treatment
on Asian or other languages from both a theoretical and a computational
viewpoint, focusing on original research related but not limited to the
following topics:
Lexicon-grammar interface for MWEs
Parsing techniques for MWEs
MWE annotation in treebanks
Manually and automatically constructed resources
Representation of MWEs in dictionaries and ontologies
MWEs and user interaction
Multilingual acquisition
Multilingualism and MWE processing
Models of first and second language acquisition of MWEs
Crosslinguistic studies on MWEs
Integration of MWEs into NLP applications
Evaluation of MWE treatment techniques
Lexical, syntactic or semantic aspects of MWEs
Important dates:
Workshop date: October 25, 2020
Paper submission deadline: 23:59 (PST), June 13, 2020
Notification of acceptance for main conference: July 15, 2020
Camera-ready paper due: 23:59 (PST), August 14, 2020
Paper submission:
Submission page: https://easychair.org/conferences/?conf=mwea2020
Both long (up to 8 pages) and short papers (up to 4 pages) are acceptable.
Publication as a special volume:
In addition to the publication of workshop papers in the Scopus-indexed
''Proceedings of the PACLIC'', we plan to publish the extended versions as a
dedicated volume on Asian MEWS for a special issue off Springer's series, SEAL
(Studies in East Asian Linguistics, https://www.springer.com/series/15584)
Organizers:
Jong-Bok Kim, Kyung Hee University, Korea
Valia Kordoni, Humboldt-Universität zu Berlin, Germany
Huyen Thi Minh Nguyen, VNU University of Science, Vietnam
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