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UCSD-Adobe at MEDIQA 2021: Transfer Learning and Answer Sentence Selection for Medical Summarization
Autor:
Franck Dernoncourt, Emilias Farcas, Ndapa Nakashole, Khalil Mrini, Seung-Hyun Yoon, Trung Bui, Walter Chang
Publikováno v:
BioNLP@NAACL-HLT
In this paper, we describe our approach to question summarization and multi-answer summarization in the context of the 2021 MEDIQA shared task (Ben Abacha et al., 2021). We propose two kinds of transfer learning for the abstractive summarization of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7ce3192a64d0651b0b41917c722bb56
https://doi.org/10.18653/v1/2021.bionlp-1.28
https://doi.org/10.18653/v1/2021.bionlp-1.28
