Automatic keyphrase extraction from scientific articles.

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 extr...

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Detalles Bibliográficos
Publicado en:Language Resources & Evaluation Vol. 47; no. 3; pp. 723 - 743
Autores principales: Kim, Su, Medelyan, Olena, Kan, Min-Yen, Baldwin, Timothy
Formato: Artículo
Publicado: Springer Nature Sep2013
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario: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.