An English-Chinese cross-lingual word semantic similarity measure exploring attributes and relations

Lin Dai*, Heyan Huang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

Word semantic similarity measuring is a fundamental issue to many NLP applications and the globalization has made an urgent request for cross-lingual word similarity measure. This paper proposed a word semantic similarity measure which is able to work in cross-lingual scenarios. Basically, a concept can be defined by a set of attributes. The basic idea of this work is to compute the similarity between words by exploring their attributes and relations. For a given word pair, we first compute similarities between their attributes by combining distance, depth and relation information. Then word similarity are computed through a combination scheme. The algorithm is implemented based on an English-Chinese bilingual ontology HowNet. Experiments show that the proposed algorithm results in high correlation against human judgments, which encourages its broad application in cross-lingual applications.

源语言英语
主期刊名PACLIC 25 - Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation
467-476
页数10
出版状态已出版 - 2011
活动25th Pacific Asia Conference on Language, Information and Computation, PACLIC 25 - , 新加坡
期限: 16 12月 201118 12月 2011

出版系列

姓名PACLIC 25 - Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation

会议

会议25th Pacific Asia Conference on Language, Information and Computation, PACLIC 25
国家/地区新加坡
时期16/12/1118/12/11

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