Unsupervised Word Sense Disambiguation Using Neighborhood Knowledge
Heyan Huang, Zhizhuo Yang, Ping Jian · Institutional Repositories DataBase (IRDB) · 2011
Usually ambiguous words contained in article appear several times.Almost all existing methods for unsupervised word sense disambiguation make use of information contained only in ambiguous sentence.This paper presents a novel approach by considering neighborhood knowledge.The approach can naturally make full use of the within-sentence relationship from the ambiguous sentence and cross-sentence relationship from the neighborhood knowledge.Experimental results indicate the proposed method can significantly outperform the baseline method.