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:
Jan. 14, 2025

Filed:

Nov. 19, 2019
Applicant:

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

Inventors:

Lalit Agarwalla, Bangalore, IN;

Gandhi Sivakumar, Bentleigh, AU;

Maharaj Mukherjee, Poughkeepsie, NY (US);

Rashida A. Hodge, San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 40/151 (2020.01); G06F 40/169 (2020.01); G06F 40/56 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 40/169 (2020.01); G06F 18/2148 (2023.01); G06F 18/2185 (2023.01); G06F 40/151 (2020.01); G06F 40/56 (2020.01); G06N 20/00 (2019.01);
Abstract

Provided is a method, a computer program product, and a system for associating mathematical functions to numerical text in a natural language sample. The method includes inputting a natural language sample from a text dataset and identifying a numerical text within the natural language sample. The method further includes displaying a mathematical function corresponding to the numerical text to be selected. The mathematical function can be selected via graphical user interface displayed on a computing device. The method also includes receiving and inserting the mathematical function as a feature into a feature vector of the natural language sample and selecting an output label for the natural language sample. The output label relates to the mathematical function selected for the numerical text. The method further includes exporting the natural language sample into a labeled dataset which can be used to train a machine learning model.


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