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:
May. 08, 2018

Filed:

May. 31, 2015
Applicant:

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

Inventors:

Michel Galley, Seattle, WA (US);

Alessandro Sordoni, Montreal, CA;

Christopher John Brockett, Bellevue, WA (US);

Jianfeng Gao, Woodinville, WA (US);

William Brennan Dolan, Kirkland, WA (US);

Yangfeng Ji, Atlanta, GA (US);

Michael Auli, Menlo Park, CA (US);

Margaret Ann Mitchell, Seattle, WA (US);

Christopher Brian Quirk, Seattle, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/16 (2006.01); H04L 12/58 (2006.01); G06F 17/28 (2006.01);
U.S. Cl.
CPC ...
H04L 51/02 (2013.01); G06F 17/2881 (2013.01); H04L 51/10 (2013.01); H04L 51/26 (2013.01);
Abstract

Examples are generally directed towards automatic assessment of machine generated conversational responses. Context-message-response n-tuples are extracted from at least one source of conversational data to generate a set of multi-reference responses. A response in the set of multi-reference responses includes it context-message data pair and rating. The rating indicates a quality of the response relative to the context-message data pair. A response assessment engine generates a metric score for a machine-generated response based on an assessment metric and the set of multi-reference responses. The metric score indicates a quality of the machine-generated conversational response relative to a user-generated message and a context of the user-generated message. A response generation system of a computing device, such as a digital assistant, is optimized and adjusted based on the metric score to improve the accuracy, quality, and relevance of responses output to the user.


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