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:

Mar. 23, 2020
Applicant:

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

Inventors:

Raj Nagesh, Cary, NC (US);

Charles Christopher Walker, Cary, NC (US);

Kriteshwar Kaur Kohli, White Plains, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/284 (2020.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/284 (2020.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01);
Abstract

Text blocks are semantically compared, and a semantic score is provided to a user. The semantic score is based on application of a machine learning model trained on a text corpus. One or both of the two text blocks may have one or more words that do not appear in the training text corpus (skip-words). Skip-words are used, rather than discarded, to adjust the semantic score via, for example, a penalization function. The user provides feedback about the accuracy of the adjusted semantic score, and the feedback is used to perform supervised learning model.


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Nagesh, Raj. (2023). Natural language processing with missing tokens in a corpus (U.S. Patent No. 11687723). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11687723

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