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:
Jun. 16, 2020

Filed:

Aug. 09, 2018
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

Maruthi Z. Shanmugam, Plano, TX (US);

Luis Gerardo Mojica de la Vega, Plano, TX (US);

Donatus Asumu, Plano, TX (US);

Assignee:

Bank of America Corporation, Charlotte, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G10L 15/06 (2013.01); G10L 15/18 (2013.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G10L 2015/0633 (2013.01); G10L 2015/223 (2013.01);
Abstract

A method for creating binary classification models and using the binary classification models to select candidate training utterances from a plurality of live utterances is provided. The method may include receiving a plurality of intents and associated training utterances. The method may include creating, from the training utterances, a binary classification model for each intent. The binary classification model may include a vector representation of a line of demarcation between utterances associated with the intent and utterances disassociated from the intent. The method may also include receiving live utterances. An intent may be determined for each live utterance. The method may include creating a vector representation of the live utterance. The method may include selecting candidate training utterances based on a comparison between the vector representation of the live utterance and the vector representation included in the binary classification model of the intent determined for the live utterance.


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