Automatic Keyphrase Extraction: A Survey of the State of the Art

Kazi Saidul Hasan and Vincent Ng.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1262-1273, 2014.

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Abstract

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.

BibTeX entry

@InProceedings{Hasan+Ng:14a,
  author = {Hasan, Kazi Saidul and Vincent Ng},
  title = {Automatic Keyphrase Extraction: A Survey of the State of the Art},
  booktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages = {1262--1273},
  year = 2014}

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