Symmetric Trends: Optimal Local Context Window Chinese Word Sense Disambiguation

摘要：

Word Sense Disambiguation (WSD) is a task of classification to identify sense of ambiguous word. Most systems choose symmetric local context window on empirical grounds, that is, the distance from the ambiguous word to both sides of the window is same, such as -1, +1. Why? In this paper, we do an experiment on Senseval-3 Chinese data set. Use cross–validation method to identify the optimal local context window for word features and part of speech (POS) features separately. The results show that in the same window scope, the smaller the gap, the lower the error, and the better the WSD performance. In other words, the window that tends to symmetric will get better performance.

关键词： Word Sense Disambiguation local context window Chinese symmetric

作者: Gang Li Guangzeng Kou Ercui Zhou Ling Zhang

作者单位: School of Information Management, Wuhan University Wuhan, China Management School, Anhui University Hefei, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）