While automatic keyphrase extraction has been examined extensively, state-of-theart 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.
For a summary of the state-of-the-art in keyphrase extraction, which largely follow the same pattern, we refer to REF .
Automatic Keyphrase Extraction: A Survey of the State of the Art
ACL
Computer Science