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Calling Attention to Passages for Biomedical Question Answering
[chapter]
2020
Lecture Notes in Computer Science
Question answering can be described as retrieving relevant information for questions expressed in natural language, possibly also generating a natural language answer. This paper presents a pipeline for document and passage retrieval for biomedical question answering built around a new variant of the DeepRank network model in which the recursive layer is replaced by a self-attention layer combined with a weighting mechanism. This adaptation halves the total number of parameters and makes the
doi:10.1007/978-3-030-45442-5_9
fatcat:jzij73sqr5dq7o56syzni66yte