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:
Jun. 24, 2025

Filed:

Nov. 11, 2021
Applicant:

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

Inventors:

Abhijith Asok, Bellevue, WA (US);

Courtney Sarah Cochrane, Cambridge, MA (US);

Jenna Hong, Acton, MA (US);

Yang He, Newton, MA (US);

Lucas Anton Rosenblatt, Brooklyn, NY (US);

Aleksandr Polyakov, Berkeley, CA (US);

Natalie Ann Mionis, Cambridge, MA (US);

Amit Dinesh Gupte, Bellevue, WA (US);

Anish Yatin Pimpley, Bellevue, WA (US);

Sean Gormley T. Kelley, Boston, MA (US);

Yiquan Xu, Watertown, MA (US);

Ransom Lloyd Richardson, Acton, MA (US);

Michael Adam Scarpati, Wellesley, MA (US);

Benjamin Gustav Wilde, Quincy, MA (US);

Jichen Yang, Fremont, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 40/103 (2020.01); G06F 40/58 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 40/58 (2020.01); G06F 40/103 (2020.01); G06N 20/00 (2019.01);
Abstract

The disclosed technology is generally directed to the conversion of text to tables. In one example of the technology, input text that includes at least three rows is received. A plurality of characteristics of the input text is determined. Each characteristic of the plurality of characteristics is associated with a uniformity between the rows of the input text. The plurality of characteristics includes at least one characteristic that is associated with a delimiter count. A determination is made as to whether the input text is suitable for conversion to table based on the plurality of characteristics. Upon determining that the input text is suitable for conversion to a table, a machine learning model is used to convert the input text into a table.


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