Language Resources and Evaluation

, Volume 47, Issue 3, pp 723–742

Automatic keyphrase extraction from scientific articles

  • Su Nam Kim
  • Olena Medelyan
  • Min-Yen Kan
  • Timothy Baldwin
Original Paper

DOI: 10.1007/s10579-012-9210-3

Cite this article as:
Kim, S.N., Medelyan, O., Kan, MY. et al. Lang Resources & Evaluation (2013) 47: 723. doi:10.1007/s10579-012-9210-3

Abstract

This paper describes the organization and results of the automatic keyphrase extraction task held at the Workshop on Semantic Evaluation 2010 (SemEval-2010). The keyphrase extraction task was specifically geared towards scientific articles. Systems were automatically evaluated by matching their extracted keyphrases against those assigned by the authors as well as the readers to the same documents. We outline the task, present the overall ranking of the submitted systems, and discuss the improvements to the state-of-the-art in keyphrase extraction.

Keywords

Keyphrase extraction Scientific document processing SemEval-2010 Shared task 

Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Su Nam Kim
    • 1
  • Olena Medelyan
    • 2
  • Min-Yen Kan
    • 3
  • Timothy Baldwin
    • 1
  1. 1.Department of Computing and Information SystemsThe University of MelbourneMelbourneAustralia
  2. 2.PingarAucklandNew Zealand
  3. 3.School of ComputingNational University of SingaporeSingaporeSingapore

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