DYNAMIC COATTENTION NETWORK FOR QUESTION ANSWERING

    公开(公告)号:US20180129938A1

    公开(公告)日:2018-05-10

    申请号:US15421193

    申请日:2017-01-31

    CPC classification number: G06N3/08 G06N3/0445 G06N3/0454 G06N5/022 G06N5/04

    Abstract: The technology disclosed relates to an end-to-end neural network for question answering, referred to herein as “dynamic coattention network (DCN)”. Roughly described, the DCN includes an encoder neural network and a coattentive encoder that capture the interactions between a question and a document in a so-called “coattention encoding”. The DCN also includes a decoder neural network and highway maxout networks that process the coattention encoding to estimate start and end positions of a phrase in the document that responds to the question.

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