Invention Grant
- Patent Title: Querying knowledge graph with natural language input
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Application No.: US16370721Application Date: 2019-03-29
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Publication No.: US10970278B2Publication Date: 2021-04-06
- Inventor: Rui Yan , Yonggang Deng , Junyi Chai , Maochen Guan , Yujie He , Bing Li
- 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: G06F40/30
- IPC: G06F40/30 ; G10L15/19 ; G06F16/2452 ; G06N20/00 ; G06F40/284 ; G06F40/295

Abstract:
A server computing device, including memory storing a knowledge graph. The server computing device may further include a processor configured to receive a natural language input and generate a tokenized utterance based on the natural language input. Based on the tokenized utterance, the processor may select a predefined intention indicating a target ontology entity type of the natural language input. The processor may identify at least one input ontology entity token included in the tokenized utterance and may identify at least one relation between the predefined intention and the input ontology entity token. Based on the predefined intention, the at least one input ontology entity token, and the relation, the processor may generate a structured query. Based on the structured query and the knowledge graph, the processor may output an output ontology entity token having the target ontology entity type.
Public/Granted literature
- US20200311070A1 QUERYING KNOWLEDGE GRAPH WITH NATURAL LANGUAGE INPUT Public/Granted day:2020-10-01
Information query