Title :
Word Sense Disambiguation Based on Feature Ranking Graph
Author :
Yeqing Li ; Xiaoyu Qiu
Author_Institution :
Inner Mongolia Univ. of Finance & Econ., Hohhot, China
Abstract :
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.
Keywords :
computational linguistics; graph theory; natural language processing; WSD; computational linguistics; feature ranking graph; graph-based ranking method; word sense disambiguation; Computational linguistics; Dictionaries; Feature extraction; Knowledge based systems; Semantics; Tagging; Training; Feature ranking graph; HowNet; Part-of-speech tagging; Word sense disambiguation;
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2015 IEEE 29th International Conference on
Conference_Location :
Gwangiu
Print_ISBN :
978-1-4799-1774-7
DOI :
10.1109/WAINA.2015.16
