Research of Chinese Report Link Recognition Based on Abbreviation Analysis

Fengling Wang · Jisuanji gongcheng · 2011

(Abstract )This paper analyzes the formation of the Chinese abbreviations, defines the morphology similarity between two words, and proposes the story similarity computation method based on the longest string matching. It explores the usage of this similarity computation method in the Chinese report link recognition system. Experimental results show this method performes well, reduces the normalized detection cost by 12.96 %, and greatly improves the performance of the story link recognition system. (Key words )report link recognition; topic detection and tracking; abbreviation; normalized detection cost; similarity computation method DOI: 10.3969/j.issn.1000-3428.2011.18.054

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