The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 31, 2020

Filed:

Aug. 31, 2016
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Charles E. Beller, Baltimore, MD (US);

Chengmin Ding, Chantilly, VA (US);

Adam Dumey, Falls Church, VA (US);

Elinna Shek, Aldie, VA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06N 5/02 (2006.01); G06F 16/2457 (2019.01); G06F 16/901 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 16/24578 (2019.01); G06F 16/9024 (2019.01); G06N 5/022 (2013.01); G06N 20/00 (2019.01);
Abstract

A technique for responding to user input includes assigning respective initial confidence scores to relationship n-tuples in a knowledge graph (KG). Each of the n-tuples designates at least a first entity, a second entity, and a relationship between the first and second entities or a single entity and a relationship between the single entity and one or more properties of the single entity. Respective feature vectors are associated with each of the n-tuples. A training set that includes at least a subset of the n-tuples labeled with respective ground truth labels is generated. Respective initial weights are learned for the feature vectors based on the training set. Respective subsequent confidence scores are generated for each of the n-tuples based on the initial weights for the feature vectors. A response to user input is generated based on the subsequent confidence scores for one or more of the n-tuples.


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