Invention Application
- Patent Title: DYNAMIC COATTENTION NETWORK FOR QUESTION ANSWERING
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Application No.: US15421193Application Date: 2017-01-31
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Publication No.: US20180129938A1Publication Date: 2018-05-10
- Inventor: Caiming XIONG , Victor ZHONG , Richard SOCHER
- Applicant: salesforce.com, inc.
- Applicant Address: US CA San Francisco
- Assignee: salesforce.com, inc.
- Current Assignee: salesforce.com, inc.
- Current Assignee Address: US CA San Francisco
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N5/02

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.
Public/Granted literature
- US10963782B2 Dynamic coattention network for question answering Public/Granted day:2021-03-30
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