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:
Sep. 07, 2021

Filed:

Apr. 15, 2019
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Nirav Jagdish Sampat, Mumbai, IN;

Saran Prasad, New Delhi, IN;

Manish Jain, New Delhi, IN;

Sriram Lakshminarasimhan, TamilNadu, IN;

Dharmesh Dhirajlal Barochia, Pune, IN;

Purnanga Prema Borah, Assam, IN;

Deepali Jain, Noida, IN;

Suhas Vinod Sane, Maharashtra, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06N 3/00 (2006.01); G06N 5/04 (2006.01); G06F 16/00 (2019.01); G06N 5/02 (2006.01); G06F 40/186 (2020.01); H04L 12/58 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/00 (2019.01); G06F 40/186 (2020.01); G06F 40/35 (2020.01); G06N 3/006 (2013.01); G06N 5/022 (2013.01); G06N 5/041 (2013.01); G06N 20/00 (2019.01); H04L 51/02 (2013.01);
Abstract

An example chatbot generation platform may receive a request to generate a chatbot; determine a chatbot template for the chatbot based on the request; obtain custom chatbot information according to the chatbot template; generate a chatbot corpus for the chatbot using the custom chatbot information and the chatbot template; generate a set of question and answer (QnA) pairs based on the chatbot corpus; configure a language analysis model for the chatbot; build the chatbot according to the set of QnA pairs and the language analysis model; and deploy the chatbot to a chatbot host platform for operation. The chatbot may be built to engage in an interaction with a user via the chatbot host platform, use the language analysis model to select one or more QnA pairs from the set of QnA pairs during the interaction, and train the language analysis model based on the interaction.


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