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:
Aug. 22, 2023

Filed:

Nov. 19, 2018
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Chinnappa Guggilla, Bangalore, IN;

Praneeth Shishtla, Bangalore, IN;

Madhura Shivaram, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/35 (2019.01); G06F 16/93 (2019.01); G06N 5/02 (2023.01); G06N 20/00 (2019.01); G06F 16/33 (2019.01); G06F 16/28 (2019.01); G06F 3/01 (2006.01);
U.S. Cl.
CPC ...
G06F 16/353 (2019.01); G06F 16/288 (2019.01); G06F 16/3347 (2019.01); G06F 16/93 (2019.01); G06N 5/02 (2013.01); G06N 20/00 (2019.01);
Abstract

In some examples, artificial intelligence based corpus enrichment for knowledge population and query response may include generating, based on annotated training documents, an entity and relation annotation model, identifying, based on application of the entity and relation annotation model to a document set that is to be annotated, entities and relations between the entities for each document of the document set to generate an annotated document set, and categorizing each annotated document into a plurality of categories. Artificial intelligence based corpus enrichment may include determining whether an identified category includes a specified number of annotated documents, and if not, additional annotated documents may be generated for the identified category that may represent a corpus. Further, artificial intelligence based corpus enrichment may include training, using the corpus, an artificial intelligence based decision support model, and utilizing the artificial intelligence based decision support model to respond to an inquiry.


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