Hierarchy extraction based on inclusion of appearance

Authors:
Eiko Yamamoto;Kyoko Kanzaki;Hitoshi Isahara
Affiliations:
National Institute of Information and Communications Technology, Soraku-gun, Kyoto, Japan;National Institute of Information and Communications Technology, Soraku-gun, Kyoto, Japan;National Institute of Information and Communications Technology, Soraku-gun, Kyoto, Japan
Venue:
ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
Year:
2004

Citing 4
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Abstract

In this paper, we propose a method of automatically extracting word hierarchies based on the inclusion relation of appearance patterns from corpora. We apply a complementary similarity measure to find a hierarchical word structure. This similarity measure was developed for the recognition of degraded machine-printed text in the field and can be applied to estimate one-to-many relations. Our purpose is to extract word hierarchies from corpora automatically. As the initial task, we attempt to extract hierarchies of abstract nouns co-occurring with adjectives in Japanese and compare with hierarchies in the EDR electronic dictionary.