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)
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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