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Keyphrase Generation for Scientific Document Retrieval
[article]
2021
arXiv
pre-print
Sequence-to-sequence models have lead to significant progress in keyphrase generation, but it remains unknown whether they are reliable enough to be beneficial for document retrieval. This study provides empirical evidence that such models can significantly improve retrieval performance, and introduces a new extrinsic evaluation framework that allows for a better understanding of the limitations of keyphrase generation models. Using this framework, we point out and discuss the difficulties
arXiv:2106.14726v1
fatcat:wlcwarqws5bn3djducrlpd5x5e