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:
Nov. 04, 2025

Filed:

Dec. 09, 2022
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Yujia Xie, Redmond, WA (US);

Lesly Sadiht Miculicich Werlen, Kirkland, WA (US);

Song Wang, Bellevue, WA (US);

Pengcheng He, Sammamish, WA (US);

Yuantao Wang, Issaquah, WA (US);

Wei Xiong, Bellevue, WA (US);

Yanling Xiong, Sammamish, WA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/166 (2020.01); G06F 40/117 (2020.01); G06F 40/284 (2020.01); G06F 40/47 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 40/166 (2020.01); G06F 40/117 (2020.01); G06F 40/284 (2020.01); G06F 40/47 (2020.01); G06N 20/00 (2019.01);
Abstract

The disclosure herein describes training a text processing model to generate model output text data using input text data and a sentence count. A training data entry including input text data and output text data is obtained. A sentence count of the output text data is determined, and the output text data is labeled with a sentence count label and a sentence number label. Model output text data is generated with a text processing model using the input text data and determined sentence count as input data. Loss data associated with a difference between the generated model output text data and the labeled output text data is used to adjust the text processing model, which enables the model to be trained to produce output text data with a target sentence count in a computationally efficient manner.


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