Osamu Imaichi
2013
A Comparison of Rule-Based and Machine Learning Methods for Medical Information Extraction
Osamu Imaichi
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Toshihiko Yanase
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Yoshiki Niwa
The First Workshop on Natural Language Processing for Medical and Healthcare Fields
2004
Constructing Word-Sense Association Networks from Bilingual Dictionary and Comparable Corpora
Hiroyuki Kaji
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Osamu Imaichi
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)
A novel thesaurus named a gword-sense association networkh is proposed for the first time. It consists of nodes representing word senses, each of which is defined as a set consisting of a word and its translation equivalents, and edges connecting topically associated word senses. This word-sense association network is produced from a bilingual dictionary and comparable corpora by means of a newly developed fully automatic method. The feasibility and effectiveness of the method were demonstrated experimentally by using the EDR English-Japanese dictionary together with Wall Street Journal and Nihon Keizai Shimbun corpora. The word-sense association networks were applied to word-sense disambiguation as well as to a query interface for information retrieval.
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