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:
May. 09, 2023

Filed:

Jun. 03, 2021
Applicant:

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

Inventors:

Zhong Fang Yuan, Xi'an, CN;

Bin Shang, Xi'an, CN;

Li Ni Zhang, Beijing, CN;

Yong Fang Liang, Beijing, CN;

Chen Gao, Xi'an, CN;

Tong Liu, Xi'an, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/44 (2018.01); G06F 8/41 (2018.01); G06F 8/36 (2018.01); G06F 40/279 (2020.01); G06N 20/00 (2019.01); G06N 3/04 (2023.01); G06F 8/75 (2018.01);
U.S. Cl.
CPC ...
G06F 8/43 (2013.01); G06F 8/36 (2013.01); G06F 8/75 (2013.01); G06F 40/279 (2020.01); G06N 3/04 (2013.01); G06N 20/00 (2019.01);
Abstract

Techniques are provided for mapping natural language to code segments. In one embodiment, the techniques involve receiving a document and software code, wherein the document comprises a natural language description of a use of the code, generating, via a vectorization process performed on the document, at least one vector or word embedding, generating, via a natural language processing technique performed on the at least one vector or word embedding, a first label set, generating, via a machine learning analysis of the software code, a second label set, determining, based on a comparison of the first label set and the second label set, a match confidence between the document and the software code, wherein the match confidence indicates a measure of similarity between the first label set and the second label set, and upon determining that the match confidence exceeds a predefined threshold, mapping the document to the software code.


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