Skip to content
Conference proceedings

Automatic keyphrase extraction with a refined candidate set

You W, Fontaine D, Barth??s J...(+3 more)

Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009, vol. 1 (2009) pp. 576-579

  • 10

    Readers

    Mendeley users who have this article in their library.
  • 7

    Citations

    Citations of this article.
  • N/A

    Views

    ScienceDirect users who have downloaded this article.
Sign in to save reference

Abstract

In this paper, we develop and evaluate an automatic keyphrase extraction technique for scientific documents. A new candidate phrase generation method is proposed based on the core word expansion algorithm, which can reduce the size of candidate set by about 75% without increasing the computational complexity. Then in the step of feature calculation, when a phrase and its sub-phrases coexist as candidates, an inverse document frequency related feature is introduced for selecting the proper granularity. Experimental results show the efficiency and effectiveness of the refined candidate set and demonstrate that the overall performance of our system compares favorably with other known keyphrase extraction systems.

Find this document

Get full text

Cite this document

Choose a citation style from the tabs below