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1. (WO2018085710) DYNAMIC COATTENTION NETWORK FOR QUESTION ANSWERING

Pub. No.:    WO/2018/085710    International Application No.:    PCT/US2017/060026
Publication Date: Sat May 12 01:59:59 CEST 2018 International Filing Date: Sat Nov 04 00:59:59 CET 2017
IPC: G06N 3/04
Applicants: SALESFORCE.COM, INC.
Inventors: XIONG, Caiming
ZHONG, Victor
SOCHER, Richard
Title: DYNAMIC COATTENTION NETWORK FOR QUESTION ANSWERING
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.