A systematic comparison of various statistical alignment models
Computational Linguistics
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Measures of distributional similarity
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Automatic collection of related terms from the web
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2
CLEF-IP 2009: retrieval experiments in the intellectual property domain
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
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We propose a method for constructing a bilingual thesaurus automatically from patents. First, we extract hypernym-hyponym relations from Japanese and US patents by using the pattern "A such as B". Second, we align terms between these thesauri by combining statistical machine translation and citation analysis techniques. To confirm the effectiveness of our method, we conducted some experiments. The results showed that our best method obtained Recall of 79.4%, Precision of 77.5%, and F-measure of 78.3%.