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 lan-guage processing tasks. We present a sur-vey 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. 1
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Hasan et al. (2014) studied this question.
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