Automatic keyphrase extraction from scientific articles

Authors:
Su Nam Kim;Olena Medelyan;Min-Yen Kan;Timothy Baldwin
Affiliations:
Department of Computing and Information Systems, The University of Melbourne, Melbourne, Australia;Pingar, Auckland, New Zealand;School of Computing, National University of Singapore, Singapore, Singapore;Department of Computing and Information Systems, The University of Melbourne, Melbourne, Australia
Venue:
Language Resources and Evaluation
Year:
2013

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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.