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:
Jul. 18, 2023

Filed:

Oct. 28, 2022
Applicant:

Sas Institute Inc., Cary, NC (US);

Inventors:

Reza Soleimani, Raleigh, NC (US);

Samuel Leeman-Munk, Durham, NC (US);

David Blake Styles, Raleigh, NC (US);

Assignee:

SAS Institute, Inc., Cary, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/34 (2019.01); G06F 40/40 (2020.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
G06F 16/34 (2019.01); G06F 40/284 (2020.01); G06F 40/40 (2020.01);
Abstract

In one example, a system can receive a set of text samples and generate a set of summaries based on the set of text samples. The system can then generate a training dataset by iteratively executing a training-sample generation process. Each iteration can involve selecting multiple text samples from the set of text samples, combining the multiple text samples together into a training sample, determining a text category and a summary corresponding to a selected one of the multiple text samples, and including the text category and the summary in the training sample. After generating the training dataset, the system can use it to train a model. The trained model can then receive a target textual dataset and a target category as input, identify a portion of the target textual dataset corresponding to the target category, and generate a summarization of the portion of that target textual dataset.


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