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:
Mar. 02, 2021

Filed:

Feb. 01, 2019
Applicant:

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

Inventors:

Ming Tan, Malden, MA (US);

Haoyu Wang, Somerville, MA (US);

Ladislav Kunc, Prague, CZ;

Yang Yu, Acton, MA (US);

Saloni Potdar, Arlington, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G10L 15/18 (2013.01); G10L 15/16 (2006.01); G06N 3/08 (2006.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G10L 15/1815 (2013.01); G06F 40/30 (2020.01); G06N 3/08 (2013.01); G10L 15/16 (2013.01); G10L 15/22 (2013.01);
Abstract

A method includes providing input text to a plurality of multi-task learning (MTL) models corresponding to a plurality of domains. Each MTL model is trained to generate an embedding vector based on the input text. The method further includes providing the input text to a domain identifier that is trained to generate a weight vector based on the input text. The weight vector indicates a classification weight for each domain of the plurality of domains. The method further includes scaling each embedding vector based on a corresponding classification weight of the weight vector to generate a plurality of scaled embedding vectors, generating a feature vector based on the plurality of scaled embedding vectors, and providing the feature vector to an intent classifier that is trained to generate, based on the feature vector, an intent classification result associated with the input text.


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