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:
Sep. 06, 2022

Filed:

Oct. 02, 2019
Applicant:

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

Inventors:

Ashish Jagmohan, Irvington, NY (US);

Elham Khabiri, Briarcliff Manor, NY (US);

Richard B. Segal, Chappaqua, NY (US);

Roman Vaculin, Larchmont, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06F 40/30 (2020.01); G06F 16/36 (2019.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06F 16/36 (2019.01);
Abstract

Techniques for outside-in mapping for corpus pairs are provided. In one example, a computer-implemented method comprises: inputting first keywords associated with a first domain corpus; extracting a first keyword of the first keywords; inputting second keywords associated with a second domain corpus; generating an embedded representation of the first keyword via a trained model and generating an embedded representation of the second keywords via the trained model; and scoring a joint embedding affinity associated with a joint embedding. The scoring the joint embedding affinity comprises: transforming the embedded representation of the first keyword and the embedded representation of the second keywords via the trained model; determining an affinity value based on comparing the first keyword to the second keywords; and based on the affinity value, aggregating the joint embedding of the embedded representation of the first keyword and the embedded representation of the second keywords within the second domain corpus.


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