Papers with keyphrase extraction methods

2 papers
Encoding Conversation Context for Neural Keyphrase Extraction from Microblog Posts (N18-1)

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Challenge: Existing keyphrase extraction methods suffer from data sparsity problem when conducted on short and informal texts.
Approach: They propose a neural keyphrase extraction framework for microblog posts that takes conversation context into account and uses four types of neural encoders to represent conversation context.
Outcome: The proposed framework outperforms state-of-the-art keyphrase extraction methods on Twitter and Weibo datasets.
Improving Unsupervised Keyphrase Extraction using Background Knowledge (L18-1)

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Challenge: Existing methods of keyphrase extraction are supervised and unsupervised . Topical PageRank uses topical information to extract the top topics of a document .
Approach: They propose an unsupervised method for keyphrase extraction based on Wikipedia . they construct a semantic graph and transform the extraction problem into an optimization problem .
Outcome: The proposed method improves over other state-of-the-art models by more than 2% in F1-score.

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