摘要

This paper presents a statistical method to extract word sense indicators as semantic disambiguators. Word sense indicators are collected based on selecting the best seeds and retrieving collocations. The similarities are comparied between sets of sense indicators for tagging sense. Our experiments showed that one or two indicators around the ambiguous word can help to recognize its sense, and sense indicators are mainly appear in +/- 3 context window size in Chinese.