A Keyword Extraction Method Based on Lexical Chains

Authors:
Xiao-Yu Jiang
Affiliations:
School of Computer Science, Beijing Institute of Technology, Beijing, China 100081 and Business School, Beijing Institute of Clothing Technology, Beijing, China 100029
Venue:
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Year:
2008

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Abstract

A lexical-chain-based keywords extraction method from Chinese texts is proposed in this paper, and an algorithm for constructing lexical chains based on HowNet knowledge database is given in the method, lexical chains are firstly constructing by calculating he semantic similarity between terms, then keywords are extracted according to the lexical chain's intensity, the terms' entropy and position. Unknown word recognition and semantic information between terms are considered in this method, which can significantly improve the effectiveness of keywords extraction. The preliminary experimental results show that the method gets better performance than other methods both in accurate-matching test and approximate-matching test.