Enhancing Performance of Lexical Entailment Recognition for Vietnamese based on Exploiting Lexical Structure Features | IEEE Conference Publication | IEEE Xplore

Enhancing Performance of Lexical Entailment Recognition for Vietnamese based on Exploiting Lexical Structure Features


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 lan...Show More

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.
Date of Conference: 01-03 November 2018
Date Added to IEEE Xplore: 13 December 2018
ISBN Information:
Conference Location: Ho Chi Minh City, Vietnam

References

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