Enhancing Unsupervised Keyword Extraction in Academic Papers through Integrating Highlights with Abstract

Researchers show that paper highlights sections—distinct from abstracts—contain complementary keyword signals for unsupervised extraction. Testing four NLP models across CS datasets, the team found combining highlights with abstracts improved keyword identification, suggesting a overlooked data source for information retrieval systems.

MentionsarXiv

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