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. 08, 2020

Filed:

Mar. 21, 2017
Applicant:

Sony Corporation, Tokyo, JP;

Inventors:

Youzheng Wu, Beijing, CN;

Jun Qi, Beijing, CN;

Assignee:

SONY CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/27 (2006.01); G06F 40/289 (2020.01); G06N 3/08 (2006.01); G06N 5/02 (2006.01); G06N 3/04 (2006.01); G06F 40/10 (2020.01); G06F 40/20 (2020.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G10L 25/30 (2013.01); G10L 15/16 (2006.01); G10L 15/18 (2013.01);
U.S. Cl.
CPC ...
G06F 40/289 (2020.01); G06F 40/10 (2020.01); G06F 40/20 (2020.01); G06F 40/30 (2020.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/0472 (2013.01); G06N 3/084 (2013.01); G06N 3/088 (2013.01); G06N 5/022 (2013.01); G06F 40/40 (2020.01); G10L 15/16 (2013.01); G10L 15/1822 (2013.01); G10L 25/30 (2013.01);
Abstract

An electronic device and method for text processing, the electronic device comprises a processor (), and the processor is configured to: determine a correlation between a first text vector and a second text vector, wherein the first text vector and the second text vector are multi-dimensional, real number vectors generated on the basis of a same text, respectively; obtain, according to the correlation, a third text vector representing the text, wherein a vector space in which the third text vector is located is correlated to vector spaces in which first text and second text vectors are located. The electronic device and method of the present invention can be used to create a text-feature representation model which represents text features by combining a plurality of view angles, thereby improving the performance of natural language processing.


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