Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10579-012-9210-3
Title: Automatic keyphrase extraction from scientific articles
Authors: Kim, S.N.
Medelyan, O.
Kan, M.-Y. 
Baldwin, T.
Keywords: Keyphrase extraction
Scientific document processing
SemEval-2010
Shared task
Issue Date: Sep-2013
Source: Kim, S.N.,Medelyan, O.,Kan, M.-Y.,Baldwin, T. (2013-09). Automatic keyphrase extraction from scientific articles. Language Resources and Evaluation 47 (3) : 723-742. ScholarBank@NUS Repository. https://doi.org/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. © 2012 Springer Science+Business Media Dordrecht.
Source Title: Language Resources and Evaluation
URI: http://scholarbank.nus.edu.sg/handle/10635/77825
ISSN: 1574020X
DOI: 10.1007/s10579-012-9210-3
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