Research Area:  Machine Learning

Abstract:

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.

Keywords:  

Author(s) Name:  Kazi Hasan, Vincent Ng

Publisher name:  Association for Computational Linguistics

DOI:  10.3115/v1/P14-1119

Volume Information:  

Paper Link:   https://aclanthology.org/P14-1119/