Topic relatedness in evaluative information extraction

Authors:
Takuya Kawada;Tetsuji Nakagawa;Kentaro Inui;Sadao Kurohashi
Affiliations:
NICT, Soraku-gun, Kyoto;NICT, Soraku-gun, Kyoto;Nara Institute of Science and Technology, Takayama, Ikoma, Nara;Kyoto University, Sakyo-ku, Kyoto
Venue:
Proceedings of the 3rd International Universal Communication Symposium
Year:
2009

Citing 2
Cited 1

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Abstract

The task of extracting opinions/evaluations related to a given topic from a large number of documents such as Web documents is crucial for developing an automatic evaluation finding system, which can handle a wide variety of topics as input. In this paper, we discuss the topic relatedness of extracted evaluation through analysis of a corpus we developed. We suggest here that the semantic relationship between the target of each extracted evaluation and a given topic helps in judging topic relatedness. In addition, we point out other factors that are beyond the analysis of topic-target relations for judging the topic relatedness of evaluation.