Automatic keyphrase extraction from scientific articles

被引：0
|
作者：
Su Nam Kim
Olena Medelyan
Min-Yen Kan
Timothy Baldwin
机构：
[1] The University of Melbourne,Department of Computing and Information Systems
[2] Pingar,School of Computing
[3] National University of Singapore,undefined
来源：
Language Resources and Evaluation | 2013年 / 47卷
关键词：
Keyphrase extraction; Scientific document processing; SemEval-2010; Shared task;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：723 / 742
页数：19
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