Invention Grant
- Patent Title: Named entity disambiguation using entity distance in a knowledge graph
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Application No.: US16392386Application Date: 2019-04-23
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Publication No.: US10902203B2Publication Date: 2021-01-26
- Inventor: Rhicheek Patra , Davide Bartolini , Sungpack Hong , Hassan Chafi , Alberto Parravicini
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Hickman Palermo Becker Bingham LLP
- Main IPC: G06F40/295
- IPC: G06F40/295 ; G06N5/02

Abstract:
Techniques are described herein for performing named entity disambiguation. According to an embodiment, a method includes receiving input text, extracting a first mention and a second mention from the input text, and selecting, from a knowledge graph, a plurality of first candidate vertices for the first mention and a plurality of second candidate vertices for the second mention. The present method also includes evaluating a score function that analyzes vertex embedding similarity between the plurality of first candidate vertices and the plurality of second candidate vertices. In response to evaluating and seeking to optimize the score function, the method performs selecting a first selected candidate vertex from the plurality of first candidate vertices and a second selected candidate vertex from the plurality of second candidate vertices. Further, the present method includes mapping a first entry from the knowledge graph to the first mention and mapping a second entry from the knowledge graph to the second mention. In this embodiment, the first entry corresponds to the first selected candidate vertex and the second entry corresponds to the second selected candidate.
Public/Granted literature
- US20200342055A1 NAMED ENTITY DISAMBIGUATION USING ENTITY DISTANCE IN A KNOWLEDGE GRAPH Public/Granted day:2020-10-29
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