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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Improved Automatic Keyword Extraction Based on TextRank Using Domain Knowledge
verfasst von : Guangyi Li, Houfeng Wang
Erschienen in: Natural Language Processing and Chinese Computing
Verlag: Springer Berlin Heidelberg
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Keyword extraction of scientific articles is beneficial for retrieving scientific articles of a certain topic and grasping the trend of academic development. For the task of keyword extraction for Chinese scientific articles, we adopt the framework of selecting keyword candidates by Document Frequency Accessor Variety(DF-AV) and running TextRank algorithm on a phrase network. To improve domain adaption of keyword extraction, we introduce known keywords of a certain domain as domain knowledge into this framework. Experimental results show that domain knowledge can improve performance of keyword extraction generally.