Paper: Hierarchy Extraction Based On Inclusion Of Appearance

ACL ID P04-3015
Title Hierarchy Extraction Based On Inclusion Of Appearance
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2004

In this paper, we propose a method of auto- matically 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 devel- oped 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 elec- tronic dictionary.