DERIUNLP: A context based approach to automatic keyphrase extraction

  • Authors:
  • Georgeta Bordea;Paul Buitelaar

  • Affiliations:
  • National University of Ireland, Galway;National University of Ireland, Galway

  • Venue:
  • SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
  • Year:
  • 2010

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Abstract

The DERI UNLP team participated in the SemEval 2010 Task #5 with an unsupervised system that automatically extracts keyphrases from scientific articles. Our approach does not only consider a general description of a term to select keyphrase candidates but also context information in the form of "skill types". Even though our system analyses only a limited set of candidates, it is still able to outperform baseline unsupervised and supervised approaches.