Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/80145
Title: Automatic identification of light verb constructions: a review
Authors: Kathleen Swee, Neo Tan
Tong, Ming Lim
Chi, Wee Tan
Wei, Wei Chew
tansn@tarc.edu.my
Issue Date: 2022
Publisher: The Institution of Engineers, Malaysia (IEM)
Citation: The Journal of the Institution of Engineers, Malaysia, Special Ed., 2022, pages 95-100.
Abstract: Light verb constructions (LVC) are complex predicates that are present in many languages. They belong to the Multiword Expression (MWE) category known as verbal MWEs and has the canonical form of verb+noun. Examples of LVCs include give help, make decisions, and take walks. LVC identification is essential for many natural processing (NLP) applications such as machine translation, sentiment analysis, and information extraction. However, the task of LVC identification is challenging due to its characteristics such as variability, discontinuity, and ambiguity. This paper presents a review of recent work, discusses the gaps that still exist, and proposes some future work that may contribute significant progress in LVC identification.
Description: Link to publisher’s home pages at https://www.myiem.org.my/
URI: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/80145
ISSN: 0126-513x
Appears in Collections:IEM Journal

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