Automatic Keyphrase Extraction: A Survey Of The State Of The Art

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1(2014)

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摘要
While automatic keyphrase extraction has been examined extensively, state-of-the-art performance on this task is still much lower than that on many core natural language processing tasks. We present a survey of the state of the art in automatic keyphrase extraction, examining the major sources of errors made by existing systems and discussing the challenges ahead.
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