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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.

Patent No.:

US 11748453 B1

PDFFull Text
Date of Patent:
Sep. 05, 2023

Filed:

Feb. 17, 2021

Converting unstructured computer text to domain-specific groups using graph datastructures

Applicant:

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

Inventors:

Yi-Hui Ma, Mechanicsburg, PA (US);

Iman Johari, Coquitlam, CA;

Vyoma Gajjar, Bangalore, IN;

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US);

Attorneys:

Cantor Colburn LLP

Stosch Sabo

Primary Examiner:

Marcellus J Augustin

Int. Cl.
CPC ...
G06F 40/20 (2020.01); G06F 40/211 (2020.01); G06F 40/30 (2020.01); G06F 18/20 (2023.01); G06F 18/2135 (2023.01); G06F 18/23213 (2023.01); G06F 18/24 (2023.01); G06F 18/2413 (2023.01); G06F 40/205 (2020.01); G06N 20/00 (2019.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01);
U.S. Cl.
CPC ...
G06F 18/24137 (2023.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06F 40/205 (2020.01); G06N 20/00 (2019.01);
Abstract

Technical solutions are described for improving the performance of natural language processing systems and other such human-computer interaction systems by facilitating analyzing unstructured computer text by converting such unstructured computer text to domain-specific groups using network graphs. The technical solutions use a graph to connect similar terms with attributes and structural information to facilitate the grouping of different terms that may be used to describe the same entity. Technical solutions facilitate analyzing different input data to generate a graph that can be further used to find data similarity in the input data. The generated graph captures attributes associated with each term and assigns groupings for all the terms at the same time, improving the performance of the natural language processing (NLP) system that is analyzing the input data.

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