Chinese Word Sense Disambiguation with PageRank and HowNet

Jinghua Wang, Jianyi Liu, Ping Zhang
2008 International Joint Conference on Natural Language Processing  
Word sense disambiguation is a basic problem in natural language processing. This paper proposed an unsupervised word sense disambiguation method based PageRank and HowNet. In the method, a free text is firstly represented as a sememe graph with sememes as vertices and relatedness of sememes as weighted edges based on HowNet. Then UW-PageRank is applied on the sememe graph to score the importance of sememes. Score of each definition of one word can be computed from the score of sememes it
more » ... ns. Finally, the highest scored definition is assigned to the word. This approach is tested on SENSEVAL-3 and the experimental results prove practical and effective.
dblp:conf/ijcnlp/WangLZ08 fatcat:g2owulu22bgfdpj7fombgz7cpa