Automatic keyphrase extraction from scientific documents using N-gram filtration technique
Proceedings of the eighth ACM symposium on Document engineering
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This paper presents an approach of Automatic Keyphrase Extraction from Chinese Books. In this paper, the Local Reoccurrence Measure is proposed to greatly improve the automatic keyphrase recognition. This measure can also be applied to enhance keyphrase extraction of foreign language. The approach is tested on 1740 Chinese books and the experiment results are satisfactory.