Bui, Van Tan and Nguyen, Phuong Thai (2018) Enhancing Performance of Lexical Entailment Recognition for Vietnamese based on Exploiting Lexical Structure Features. In: 2018 10th International Conference on Knowledge and Systems Engineering (KSE) (KSE'18), 1-3 November 2018, Ho Chi Minh city, Vietnam.
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Abstract
The lexical entailment recognition problem aims to identify the is-a relation between words. The problem has recently been receiving research attention in the natural language processing field. In this study, we propose a novel method (VLER) for this problem on Vietnamese. For this purpose, we first exploit such lexical structure information of words as a feature, then combine this feature with vectors representation of words such as a unique feature for recognizing the relation. Moreover, we applied a number of methods based on word embedding and supervised learning, experimental results showed that our method achieves the best performance in the hypernymy detection task than other methods in terms of accuracy.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Information Technology (IT) |
| Divisions: | Faculty of Information Technology (FIT) |
| Depositing User: | Ngy�n Phương Thái |
| Date Deposited: | 07 Jan 2019 02:30 |
| Last Modified: | 07 Jan 2019 02:30 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3407 |
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