A persistent feature-object database for intelligent text archive systems

Authors:
Takashi Ninomiya;Jun’ichi Tsujii;Yusuke Miyao
Affiliations:
CREST, Japan Science and Technology Agency, Kawaguchi Center Building, Saitama;CREST, Japan Science and Technology Agency, Kawaguchi Center Building, Saitama;Department of Computer Science, University of Tokyo, Tokyo
Venue:
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Year:
2004

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Abstract

This paper describes an intelligent text archive system in which typed feature structures are embedded. The aim of the system is to associate feature structures with regions in text, to make indexes for efficient retrieval, to allow users to specify both structure and proximity, and to enable inference on typed feature structures embedded in text. We propose a persistent mechanism for storing typed feature structures and the architecture of the text archive system.