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. 12, 2021

Filed:

Mar. 29, 2019
Applicant:

Wipro Limited, Bangalore, IN;

Inventors:

Arindam Chatterjee, Gondalpara, IN;

Rahul Arya, Gwalior, IN;

Assignee:

Wipro Limited, Bangalore, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06N 3/02 (2006.01); G06F 17/16 (2006.01); G06K 9/62 (2006.01); G06F 40/49 (2020.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 17/16 (2013.01); G06F 40/49 (2020.01); G06K 9/628 (2013.01); G06N 3/02 (2013.01);
Abstract

The present disclosure discloses method and a user intent identification system for identifying user intent from user statements. The user intent identification system receives input statement provided by a user from a Natural Language Understanding (NLU) engine. The input statement is processed to remove one or more irrelevant content. A plurality of features for each word in the processed input statement is extracted. The plurality of features comprises Parts of Speech (POS) label, dependency parse tree and word embeddings. The user intent determination system predicts class for each word in the processed input statement from a plurality of predefined classes using a neural network model. The neural network model predicts class for each word based on input vector generated for the each word based on the plurality of features. Thereafter, the user intent is identified based on class predicted for each word in processed input statement.


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