Word Sense Disambiguation Based on Feature Ranking Graph

被引：1

作者：

Li, Yeqing ^{[1
]}

Qiu, Xiaoyu ^{[2
]}

机构：

[1] Inner Mongolia Univ Finance & Econ, Inner Mongolia, Peoples R China

[2] Shandong Univ Tradit Chinese Med, Inst Network & Educ Technol, Jinan, Peoples R China

来源：

2015 IEEE 29TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS WAINA 2015 | 2015年

关键词：

Word sense disambiguation; Feature ranking graph; Part-of-speech tagging; HowNet; WSD;

D O I：

10.1109/WAINA.2015.16

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Research in the field of WSD has been conducted in computational linguistics as a specific task for many years. Language and context features have been shown to be very helpful for the task of word sense disambiguation. In this paper, we investigate the effectiveness of the graph-based ranking method on features from limited language data of word sense disambiguation. Contrary to existing method, we adopt different features and the result shows graph-based re-ranking approach improves the effective of word sense disambiguation systems.

引用

页码：209 / 212

页数：4

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