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:
Nov. 16, 2021

Filed:

Aug. 20, 2019
Applicant:

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

Inventors:

Brendan Bull, Durham, NC (US);

Paul L. Felt, Springville, UT (US);

Andrew G. Hicks, Raleigh, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/237 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06F 16/33 (2019.01); G06F 40/211 (2020.01);
U.S. Cl.
CPC ...
G06F 40/284 (2020.01); G06F 16/3347 (2019.01); G06F 40/211 (2020.01); G06F 40/30 (2020.01);
Abstract

A computer system generates a vector space model based on an ontology of concepts. One or more training examples are extracted for one or more concepts of a hierarchical ontology, wherein the one or more training examples for the one or more concepts are based on neighboring concepts in the hierarchical ontology. A plurality of vectors, each including one or more features, are initialized, wherein each vector corresponds to a concept of the one or more concepts. A vector space model is generated by iteratively modifying one or more vectors of the plurality of vectors to optimize a loss function. Natural language processing is performed using the vector space model. Embodiments of the present invention further include a method and program product for generating a vector space model in substantially the same manner described above.


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