From statistical methods to deep learning, automatic keyphrase prediction: A survey

Published: 01 Jan 2023, Last Modified: 20 Apr 2025Inf. Process. Manag. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•First, we comprehensively summarize the studies on automatic keyphrase prediction.•Second, we compare representative models and analyze their advantages and disadvantages.•Third, we discuss the future directions of this task, so as to inspire the follow-up studies.
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