Calling Attention to Passages for Biomedical Question Answering [chapter]

Tiago Almeida, Sérgio Matos
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
more » ... work more suited for identifying the relevant passages in each document. The overall retrieval system was evaluated on the BioASQ tasks 6 and 7, achieving similar retrieval performance when compared to more complex network architectures.
doi:10.1007/978-3-030-45442-5_9 fatcat:jzij73sqr5dq7o56syzni66yte