relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3407/
title: Enhancing Performance of Lexical Entailment Recognition for Vietnamese based on Exploiting Lexical Structure Features
creator: Bui, Van Tan
creator: Nguyen, Phuong Thai
subject: Information Technology (IT)
description: 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.
date: 2018-11-15
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3407/1/KSE%202018%20%284%29.pdf
identifier:   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.