PAI: automatic indexing for extracting asserted keywords from a document

Authors:
Naohiro Matsumura;Yukio Ohsawa;Mitsuru Ishizuka
Affiliations:
PRESTO, Japan Science and Technology Corporation, and Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656 Japan;PRESTO, Japan Science and Technology Corporation, and Graduate School of Business Science, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo 112-0012 Japan;Department of Information and Communication Engineering, School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656 Japan
Venue:
New Generation Computing - Special issue on chance discovery
Year:
2003

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Abstract

This paper proposes an automatic indexing method named PAI (Priming Activation Indexing) that extracts keywords expressing the author's main point from a document based on the priming effect. The basic idea is that since the author writes a document emphasizing his/her main point, impressive terms born in the mind of the reader could represent the asserted keywords. Our approach employs a spreading activation model without using corpus, thesaurus, syntactic analysis, dependency relations between terms or any other knowledge except for stop-word list. Experimental evaluations are reported by applying PAI to journal/conference papers.