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- W4287257410 abstract "Neural keyphrase generation models have recently attracted much interest due to their ability to output absent keyphrases, that is, keyphrases that do not appear in the source text. In this paper, we discuss the usefulness of absent keyphrases from an Information Retrieval (IR) perspective, and show that the commonly drawn distinction between present and absent keyphrases is not made explicit enough. We introduce a finer-grained categorization scheme that sheds more light on the impact of absent keyphrases on scientific document retrieval. Under this scheme, we find that only a fraction (around 20%) of the words that make up keyphrases actually serves as document expansion, but that this small fraction of words is behind much of the gains observed in retrieval effectiveness. We also discuss how the proposed scheme can offer a new angle to evaluate the output of neural keyphrase generation models." @default.
- W4287257410 created "2022-07-25" @default.
- W4287257410 creator A5009648432 @default.
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- W4287257410 date "2021-03-23" @default.
- W4287257410 modified "2023-09-24" @default.
- W4287257410 title "Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness" @default.
- W4287257410 doi "https://doi.org/10.48550/arxiv.2103.12440" @default.
- W4287257410 hasPublicationYear "2021" @default.
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