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Learning Feature Representations for Keyphrase Extraction
In supervised approaches for keyphrase extraction, a candidate phrase is encoded with a set of hand-crafted features and machine learning algorithms are trained to discriminate keyphrases from non-keyphrases.
PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents
In this paper, we propose PositionRank, an unsupervised model for keyphrase extraction from scholarly documents that incorporates information from all positions of a word{'}s occurrences into a biased PageRank.
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