Investigating the Opacity of Verb-Noun Multiword Expression Usages in Context

Shiva Taslimipoor, Omid Rohanian, Ruslan Mitkov, Afsaneh Fazly


Abstract
This study investigates the supervised token-based identification of Multiword Expressions (MWEs). This is an ongoing research to exploit the information contained in the contexts in which different instances of an expression could occur. This information is used to investigate the question of whether an expression is literal or MWE. Lexical and syntactic context features derived from vector representations are shown to be more effective over traditional statistical measures to identify tokens of MWEs.
Anthology ID:
W17-1718
Volume:
Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)
Month:
April
Year:
2017
Address:
Valencia, Spain
Venue:
MWE
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
133–138
Language:
URL:
https://aclanthology.org/W17-1718
DOI:
10.18653/v1/W17-1718
Bibkey:
Cite (ACL):
Shiva Taslimipoor, Omid Rohanian, Ruslan Mitkov, and Afsaneh Fazly. 2017. Investigating the Opacity of Verb-Noun Multiword Expression Usages in Context. In Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017), pages 133–138, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
Investigating the Opacity of Verb-Noun Multiword Expression Usages in Context (Taslimipoor et al., MWE 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-1718.pdf