Named entity chunking techniques in supervised learning for Japanese named entity recognition

Authors:
Manabu Sassano;Takehito Utsuro
Affiliations:
Fujitsu Laboratories, Ltd., Kawasaki, Japan;Toyohashi University of Technology, Toyohashi, Japan
Venue:
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Year:
2000

Citing 3
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Abstract

This paper focuses on the issue of named entity chunking in Japanese named entity recognition. We apply the supervised decision list learning method to Japanese named entity recognition. We also investigate and incorporate several named-entity noun phrase chunking techniques and experimentally evaluate and compare their performance. In addition, we propose a method for incorporating richer contextual information as well as patterns of constituent morphemes within a named entity, which have not been considered in previous research, and show that the proposed method outperforms these previous approaches.