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:
Dec. 23, 2025

Filed:

Oct. 04, 2021
Applicant:

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

Inventors:

Chulaka Gunasekara, New Hyde Park, NY (US);

Song Feng, New York, NY (US);

Sachindra Joshi, Gurgaon, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 30/41 (2022.01); G06F 18/23 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G10L 15/26 (2006.01);
U.S. Cl.
CPC ...
G06V 30/41 (2022.01); G06F 18/23 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G10L 15/26 (2013.01);
Abstract

Systems and techniques that facilitate document generation by applying deep learning to conversation transcripts are provided. In various embodiments, a system can comprise a receiver component that can access a set of conversation transcripts. In various aspects, the system can further comprise a document component that can generate, via execution of one or more neural networks, a structured document based on the set of conversation transcripts. More specifically, the document component can generate a set of document chapters by executing a first neural network respectively on the set of conversation transcripts. The document component can further group, via execution of a clustering algorithm, the set of document chapters into one or more clusters of document chapters. The document component can then generate the structured document by executing a second neural network on a first cluster of document chapters from the one or more clusters of document chapters.


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