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:
Apr. 18, 2023

Filed:

Mar. 02, 2020
Applicant:

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

Inventors:

Arvind Agarwal, New Delhi, IN;

Vitobha Munigala, Secunderabad, IN;

Mitesh H. Vasa, Mulund, IN;

Shanmukha Guttula, Vijayawada, IN;

Ankush Gupta, Uttarakhand, IN;

Nicholas Gomez Phan, Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/93 (2019.01); G06F 16/28 (2019.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06F 16/2458 (2019.01);
U.S. Cl.
CPC ...
G06F 16/93 (2019.01); G06F 16/2474 (2019.01); G06F 16/285 (2019.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01);
Abstract

One embodiment provides a method, including: obtaining at least two documents, wherein one of the at least two documents comprises a revision different than another of the at least two documents; identifying, within each of the at least two documents, portions corresponding to groups of text containing a conceptual unit; assigning at least a subset of the identified portions to a category type corresponding to a topic of a given portion, wherein the assigning comprises (i) generating a semantic tag for the identified portions in the subset and (ii) tagging the identified portions in the subset with the semantic tag; and determining changes between the at least two documents, wherein the determining comprises (iii) aligning given portions across the at least two documents based upon a relationship between the given portions across the at least two documents, (iv) identifying semantic differences between the aligned portions, and (v) identifying any remaining unaligned portions.


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