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. 19, 2020

Filed:

Jun. 02, 2017
Applicant:

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

Inventors:

Keng-hao Chang, San Jose, CA (US);

Ruofei Zhang, Mountain View, CA (US);

Zi Yin, Stanford, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); B60N 2/28 (2006.01); G06F 16/93 (2019.01); G06F 16/242 (2019.01); G06F 16/33 (2019.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
B60N 2/2806 (2013.01); G06F 16/243 (2019.01); G06F 16/3344 (2019.01); G06F 16/93 (2019.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); B60N 2002/2815 (2013.01); B60N 2002/2818 (2013.01);
Abstract

The present application describes a system and method for converting a natural language query to a standard query using a sequence-to-sequence neural network. As described herein, when a natural language query is receive, the natural language query is converted to a standard query using a sequence-to-sequence model. In some cases, the sequence-to-sequence model is associated with an attention layer. A search using the standard query is performed and various documents may be returned. The documents that result from the search are scored based, at least in part, on a determined conditional entropy of the document. The conditional entropy is determined using the natural language query and the document.


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