Invention Grant
- Patent Title: Generating probabilistic annotations for entities and relations using reasoning and corpus-level evidence
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Application No.: US14797634Application Date: 2015-07-13
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Publication No.: US10372763B2Publication Date: 2019-08-06
- Inventor: Sachindra Joshi , Raghuram Krishnapuram
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Ryan, Mason & Lewis, LLP
- Main IPC: G06F16/93
- IPC: G06F16/93

Abstract:
Methods, systems, and computer program products for generating probabilistic annotations for entities and relations using reasoning and corpus-level evidence are provided herein. A method includes determining candidate entities and candidate relationships between entities from text contained within textual documents associated with a given domain; generating questions to support or refute legitimacy of a given one of the candidate entities and/or a given one of the candidate relationships; automatically determining an answer to each of the questions based on analysis of one or more additional items of knowledge pertaining to the given domain; computing a confidence score for each answer; and assigning a confidence value in support of the legitimacy of the given one of the candidate entities and/or the given one of the candidate relationships, wherein said confidence value is based on an aggregation of the confidence scores for the answers to the one or more questions.
Public/Granted literature
Information query