Research on Word Sense Disambiguation Method Based on Dependency Relation and Maximum Entropy in Chinese Complex Sentences
LI Yuan
ZHAI Hongsen
LIU Fengjiao
HUANG Wencan
YANG Mengchuan
Abstract：Word sense disambiguation is a basic research in the field of natural language information processing. It is very im?portant for the study of natural language information processing. In order to solve the problem of inaccuracy of word association in word sense disambiguation,this paper proposes a dependency syntax template,and designs five kinds of compound templates, which are combined with the maximum entropy model. Experiments show that the proposed method can reduce the computational complexity and improve the performance of word sense disambiguation. More than 500 complex sentences are disambiguation and the correct rate of word sense disambiguation is higher.
Keywords：word sense disambiguationfeature templatemaximum entropy modeldependency relation
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 78-82,190 )