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. 22, 2019

Filed:

Jul. 27, 2017
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Imed Zitouni, Bellevue, WA (US);

Dongchan Kim, Seattle, WA (US);

Young-Bum Kim, Kirkland, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/06 (2013.01); G06N 20/00 (2019.01); G10L 15/18 (2013.01); G06F 17/27 (2006.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G06F 17/279 (2013.01); G06N 20/00 (2019.01); G10L 15/1815 (2013.01);
Abstract

Described herein is a mechanism to adapt a machine learning model used in a language understanding model that has been trained using a first set of user input having a first set of features to effectively operate using user input having a second set of features. Losses are defined based on the first set of features, the second set of features or features common to both the first set and second set. The losses comprise one or more of a source side tagging loss, a reconstruction loss, an adversarial domain classification loss, a non-adversarial domain classification loss, an orthogonality loss, and target side tagging loss. The losses are jointly minimized using a gradient descent method and the resulting coefficients are used to retrain the machine learning model.


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