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CBAG: Conditional Biomedical Abstract Generation
[article]
2020
arXiv
pre-print
Biomedical research papers use significantly different language and jargon when compared to typical English text, which reduces the utility of pre-trained NLP models in this domain. Meanwhile Medline, a database of biomedical abstracts, introduces nearly a million new documents per-year. Applications that could benefit from understanding this wealth of publicly available information, such as scientific writing assistants, chat-bots, or descriptive hypothesis generation systems, require new
arXiv:2002.05637v1
fatcat:p4glip75jzdqhdunrbdz4e4ssu