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AAAI
2008

Single Document Keyphrase Extraction Using Neighborhood Knowledge

10 years 5 months ago
Single Document Keyphrase Extraction Using Neighborhood Knowledge
Existing methods for single document keyphrase extraction usually make use of only the information contained in the specified document. This paper proposes to use a small number of nearest neighbor documents to provide more knowledge to improve single document keyphrase extraction. A specified document is expanded to a small document set by adding a few neighbor documents close to the document, and the graph-based ranking algorithm is then applied on the expanded document set to make use of both the local information in the specified document and the global information in the neighbor documents. Experimental results demonstrate the good effectiveness and robustness of our proposed approach.
Xiaojun Wan, Jianguo Xiao
Added 02 Oct 2010
Updated 02 Oct 2010
Type Conference
Year 2008
Where AAAI
Authors Xiaojun Wan, Jianguo Xiao
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