Extracting related named entities from blogosphere for event mining

Authors:
Yoshihiko Suhara;Hiroyuki Toda;Akito Sakurai
Affiliations:
Keio University, Kouhoku, Yokohama, Japan;NTT Corporation, Yokosuka, Japan;Keio University, Yokohama, CREST, JST
Venue:
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Year:
2008

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Abstract

We propose a method of extracting named entities that are related to a single input word. Focusing on the syntactic dependency relation in sentences, it is reasonable to extract a case element that syntactically depends on the predicate that the input word depends on. In Japanese, though, a word which has appeared in a previous sentence is often omitted or replaced. Our proposed method, first, extracts "predicate patterns" consisting of case elements with case particles and a predicate. Then it combines predicate patterns that have the same predicate to form possible unabridged dependence relations.