%A Van Tan Bui
%A Phuong Thai Nguyen
%T Enhancing Performance of Lexical Entailment Recognition for Vietnamese based on Exploiting Lexical Structure Features
%X 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.
%C Ho Chi Minh city, Vietnam
%D 2018
%L SisLab3407