Measuring Word Polysemousness and Sense Granularity at a Language Level

摘要：

Word sense acquisition and distinction are key issues for both lexicography and lexical semantic processing. However, it is quite difficult to automatically acquire word senses and to further evaluate the results with the lexica, which more likely bear the different findings of word sense distinction and granularity. In this paper, we’d like to put forward the idea of measuring word polysemousness and sense granularity at a language level. Two methods, viz. MECBC and TIEM, are at first employed as attempts to extract Chinese word senses from the corpora. Automatic word senses mapping to the lexica and evaluation of the results are devised and realized afterwards. Our experiments shows a rather fine fitness of Chinese word polysemousness between the results and the lexica at the whole language level. Comaprison of sense granularity between different lexical semantic resources can hence be made on a sound judgment.

关键词： word sense discrimination clustering EM CBC

作者: Hong ZHU Yang LIU Shiwen YU

作者单位: Institute of Computational Linguistics,Peking University Beijing,China

会议类型: 国际会议

会议名称: The 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-19（万方平台首次上网日期，不代表论文的发表时间）