Invention Grant
- Patent Title: Utilizing a graph neural network to identify supporting text phrases and generate digital query responses
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Application No.: US16548140Application Date: 2019-08-22
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Publication No.: US11271876B2Publication Date: 2022-03-08
- Inventor: Seunghyun Yoon , Franck Dernoncourt , Doo Soon Kim , Trung Bui
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Jolley Preece
- Main IPC: H04L12/58
- IPC: H04L12/58 ; G06F16/903 ; G06F16/901 ; G06N3/08 ; H04L51/02

Abstract:
The present disclosure relates to utilizing a graph neural network to accurately and flexibly identify text phrases that are relevant for responding to a query. For example, the disclosed systems can generate a graph topology having a plurality of nodes that correspond to a plurality of text phrases and a query. The disclosed systems can then utilize a graph neural network to analyze the graph topology, iteratively propagating and updating node representations corresponding to the plurality of nodes, in order to identify text phrases that can be used to respond to the query. In some embodiments, the disclosed systems can then generate a digital response to the query based on the identified text phrases.
Public/Granted literature
Information query