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:
Dec. 14, 2021

Filed:

Jun. 15, 2017
Applicant:

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

Inventors:

Qifa Ke, Cupertino, CA (US);

Frank Torsten Bernd Seide, Yarrow Point, WA (US);

Qi Liu, Santa Clara, CA (US);

Rajanala Sai Krishna Sravanthi, Cupertino, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/338 (2019.01); G06N 3/04 (2006.01); G06F 16/332 (2019.01); G06F 16/33 (2019.01); G06N 5/04 (2006.01); G06F 40/30 (2020.01); G06F 40/103 (2020.01); G06F 40/117 (2020.01); G06F 40/216 (2020.01); G06F 40/284 (2020.01); G06N 5/00 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/338 (2019.01); G06F 16/3329 (2019.01); G06F 16/3344 (2019.01); G06F 16/3347 (2019.01); G06F 40/103 (2020.01); G06F 40/117 (2020.01); G06F 40/216 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06N 3/0445 (2013.01); G06N 5/041 (2013.01); G06N 3/0481 (2013.01); G06N 5/003 (2013.01); G06N 20/00 (2019.01);
Abstract

Examples of the present disclosure describe systems and methods relating to generating relevance scores for one or more words of a passage which is an answer to a natural language query. For instance, a passage extracted from a highly relevant electronic file along with the query may encoded and augmented to generate a multi-dimensional, augmented semantic vectors using recurring neural networks. The augmented semantic vectors along with a multi-dimensional vector that represent words of the passage may be decoded to generate relevance scores for one or more words of the passage, based on levels of relevance to the query.


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