Invention Grant
- Patent Title: Relation extraction using full dependency forests
-
Application No.: US16777261Application Date: 2020-01-30
-
Publication No.: US11455467B2Publication Date: 2022-09-27
- Inventor: Linfeng Song
- Applicant: TENCENT AMERICA LLC
- Applicant Address: US CA Palo Alto
- Assignee: TENCENT AMERICA LLC
- Current Assignee: TENCENT AMERICA LLC
- Current Assignee Address: US CA Palo Alto
- Agency: Sughrue Mion, PLLC
- Main IPC: G06F40/20
- IPC: G06F40/20 ; G06F40/295 ; G06F40/30 ; G06F17/18 ; G06N3/04 ; G06F40/279 ; G06F40/284 ; G10L15/183 ; G10L15/19 ; G06F40/289 ; G06F16/901 ; G10L15/16

Abstract:
A method, computer program, and computer system is provided for extracting relations between one or more entities in a sentence. A forest corresponding to probabilities of relations between each pair of the entities is generated, and the generated forest generated forest is encoded with relation information for each of the pairs of entities. One or more features are extracted based on the generated forest and the encoded relation information, and a relation is predicted between the entities of each pair of entities based on the extracted features.
Public/Granted literature
- US20210240933A1 RELATION EXTRACTION USING FULL DEPENDENCY FORESTS Public/Granted day:2021-08-05
Information query