Cross document event clustering using knowledge mining from co-reference chains

Authors:
June-Jei Kuo;Hsin-Hsi Chen
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan;Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
Venue:
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Year:
2005

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Abstract

Unification of the terminology usages which captures more term semantics is useful for event clustering. This paper proposes a metric of normalized chain edit distance to mine controlled vocabulary from cross-document co-reference chains incrementally. A novel threshold model that incorporates time decay function and spanning window utilizes the controlled vocabulary for event clustering on streaming news. The experimental results show that the proposed system has 16% performance increase compared to the baseline system and 6% performance increase compared to the system without introducing controlled vocabulary.