Invention Grant
- Patent Title: N-ary relation prediction over text spans
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Application No.: US16370671Application Date: 2019-03-29
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Publication No.: US10943068B2Publication Date: 2021-03-09
- Inventor: Hoifung Poon , Cliff Wong , Robin Jia
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Alleman Hall Creasman & Tuttle LLP
- Main IPC: G06F40/284
- IPC: G06F40/284 ; G06N20/20 ; G06N20/10 ; G06F40/205 ; G06F40/30 ; G06N3/04 ; G06N3/08 ; G06F40/295

Abstract:
A computing system is provided. The computing system includes a processor configured to execute one or more programs and associated memory. The processor is configured to execute neural network system that includes a first neural network and a second neural network. The processor is configured to receive input text, and for each of a plurality of text spans within the input text: identify a vector of semantic entities and a vector of entity mentions; define an n-ary relation between entity mentions including subrelations; and determine mention-level representation vectors in the text spans that satisfy the n-ary relation or subrelations. The processor is configured to: aggregate the mention-level representation vectors over all of the text spans to produce entity-level representation vectors; input to the second neural network the entity-level representation vectors; and output a prediction of a presence of the n-ary relation for the semantic entities in the input text.
Public/Granted literature
- US20200311198A1 N-ARY RELATION PREDICTION OVER TEXT SPANS Public/Granted day:2020-10-01
Information query