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:
Oct. 04, 2022

Filed:

Apr. 02, 2020
Applicant:

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

Inventors:

Stan Kevin Daley, Atlanta, GA (US);

Tao Liu, Dublin, OH (US);

Harish Bharti, Dublin, OH (US);

Jayant Kumar Sinha, Dublin, IE;

Zheng Xie, Clontarf, IE;

Joy Patra, Dublin, IE;

Abhay Patra, Maharashtra, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/279 (2020.01); G06Q 10/06 (2012.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 10/06313 (2013.01); G06F 40/279 (2020.01); G06N 20/00 (2019.01);
Abstract

Techniques for text evaluation are provided. A curated dataset comprising a plurality of textual documents is received. A tree of classifiers is trained, based on the curated dataset, to identify use cases. A feature graph model is generated, based on the curated dataset, to determine textual similarity. A new document is received, and a plurality of requirements is extracted from the new document. For each requirement, one or more vector scores are generated by evaluating the requirement using the tree of classifiers, one or more feature scores are generated by evaluating the requirement using the feature graph model, and one or more use cases are identified for the new textual document based on the one or more vector scores and the one or more feature scores. An implementation is generated for the new document based on the one or more use cases.


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