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:

Dec. 21, 2017
Applicant:

Facebook, Inc., Menlo Park, CA (US);

Inventors:

Ying Zhang, Palo Alto, CA (US);

Reshef Shilon, Palo Alto, CA (US);

Jing Zheng, San Jose, CA (US);

Assignee:

FACEBOOK, INC., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/49 (2020.01); G06F 16/35 (2019.01); G06F 40/30 (2020.01); G06F 40/44 (2020.01); G06F 40/58 (2020.01); G06F 40/216 (2020.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
G06F 40/49 (2020.01); G06F 16/35 (2019.01); G06F 40/216 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06F 40/44 (2020.01); G06F 40/58 (2020.01);
Abstract

Exemplary embodiments relate to techniques to classify or detect the intent of content written in a language for which a classifier does not exist. These techniques involve building a code-switching corpus via machine translation, generating a universal embedding for words in the code-switching corpus, training a classifier on the universal embeddings to generate an embedding mapping/table; accessing new content written in a language for which a specific classifier may not exist, and mapping entries in the embedding mapping/table to the universal embeddings. Using these techniques, a classifier can be applied to the universal embedding without needing to be trained on a particular language. Exemplary embodiments may be applied to recognize similarities in two content items, make recommendations, find similar documents, perform deduplication, and perform topic tagging for stories in foreign languages.


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