Abstract
Light verb constructions (LVC) are an interesting phenomenon that occurs in many languages. It is a category of verbal Multiword Expressions (MWE) and has the canonical form of verb+noun (Constant et al., 2017; Cordeiro and Candito, 2019; Nagy T., Rácz and Vincze, 2020). Examples of LVCs include give help, make a decision, and take a walk. Identifying LVCs is essential for many natural language processing (NLP) applications which include summarization, machine translation, semantic parsing, question answering, and information extraction. The importance of LVC identification to these downstream applications has recently spurred a growing volume of work in both the field of linguistics as well as computational linguistics in various languages as it can potentially increase the performance of these tasks. This paper presents a review of existing work related to LVC identification by summarizing gaps identified and proposing some future work that could bring novel contributions.
Keywords: Light verb constructions, Multiword expressions, Natural Language Processing
Authors
Kathleen Tan Swee Neo [1] ; Lim Tong Ming [2] ; Tan Chi Wee [3] ; Chew Wei Wei [4]
[1][3] Faculty of Computing and Information Technology, Tunku Abdul Rahman University of Management and Technology, Kampus Utama, Jalan Genting Kelang, 53300, Wilayah Persekutuan Kuala Lumpur, Malaysia
[2] Centre for Business Incubation and Enterpreneurial Ventures, Tunku Abdul Rahman University of Management and Technology, Kampus Utama, Jalan Genting Kelang, 53300, Wilayah Persekutuan Kuala Lumpur, Malaysia
[4] Faculty of Social Science and Humanities,Tunku Abdul Rahman University of Management and Technology, Kampus Utama, Jalan Genting Kelang, 53300, Wilayah Persekutuan Kuala Lumpur, Malaysia
[1] tansn@tarc.edu.my
Cite Me
Plain Text:
T.S.N.Kathleen, T.M.Lim, C.W.Tan, W.W.Chew, "5G Cybersecurity: Review on Light Verb Constructions in Computational Linguistics," International Conference on Digital Transformation and Applications (ICDXA) 2021, 2021, pp. 153-160, doi: https://doi.org/10.56453/icdxa.2021.1016.
BibTex:
@INPROCEEDINGS{ICDXA202116,
author={Kathleen, Tan Swee Neo and Lim, Tong Ming and Tan, Chi Wee and Chew, Wei Wei},
booktitle={International Conference on Digital Transformation and Applications (ICDXA) 2021},
title={Review on Light Verb Constructions in Computational Linguistics},
year={2021},
volume={},
number={},
pages={153-160},
doi={https://doi.org/10.56453/icdxa.2021.1016}}
