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:
Jun. 27, 2023

Filed:

Sep. 30, 2020
Applicant:

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

Inventors:

Ismail Yunus Akhalwaya, Emmarentia, ZA;

Naweed Aghmad Khan, Johannesburg, ZA;

Francois Pierre Luus, Wierdapark, ZA;

Ndivhuwo Makondo, Pretoria, ZA;

Ryan Nelson Riegel, Carrollton, GA (US);

Alexander Gray, Yonkers, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 17/00 (2019.01); G06F 40/30 (2020.01); G06N 3/04 (2023.01); G06F 40/247 (2020.01); G06F 40/205 (2020.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/205 (2020.01); G06F 40/247 (2020.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01);
Abstract

Word sense disambiguation using a glossary layer embedded in a deep neural network includes receiving, by one or more processors, input sentences including a plurality of words. At least two words in the plurality of words are homonyms. The one or more processors convert the plurality of words associated with each input sentence into a first vector including possible senses for the at least two words. The first vector is then combined with a second vector including a domain-specific contextual vector associated with the at least two words. The combination of the first vector with the second vector is fed into a recurrent deep logico-neural network model to generate a third vector that includes word senses for the at least two words. A threshold is set for the third vector to generate a fourth vector including a final word sense vector for the at least two words.


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