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A New Approach to Keyphrase Extraction Using Neural Networks (1004.3274v1)

Published 19 Apr 2010 in cs.IR

Abstract: Keyphrases provide a simple way of describing a document, giving the reader some clues about its contents. Keyphrases can be useful in a various applications such as retrieval engines, browsing interfaces, thesaurus construction, text mining etc.. There are also other tasks for which keyphrases are useful, as we discuss in this paper. This paper describes a neural network based approach to keyphrase extraction from scientific articles. Our results show that the proposed method performs better than some state-of-the art keyphrase extraction approaches.

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Authors (3)
  1. Kamal Sarkar (13 papers)
  2. Mita Nasipuri (93 papers)
  3. Suranjan Ghose (1 paper)
Citations (64)

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