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:
Sep. 05, 2023

Filed:

Jul. 10, 2020
Applicant:

Baidu Usa, Llc, Sunnyvale, CA (US);

Inventors:

Dingcheng Li, Sammamish, WA (US);

Shaogang Ren, Redmond, WA (US);

Ping Li, Bellevue, WA (US);

Assignee:

Baidu USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/10 (2020.01); G06F 40/284 (2020.01); G06F 40/211 (2020.01); G06F 40/30 (2020.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 40/284 (2020.01); G06F 40/211 (2020.01); G06F 40/30 (2020.01); G06N 3/08 (2013.01);
Abstract

Described herein are embodiments of a framework named as total correlation variational autoencoder (TC_VAE) to disentangle syntax and semantics by making use of total correlation penalties of KL divergences. One or more Kullback-Leibler (KL) divergence terms in a loss for a variational autoencoder are discomposed so that generated hidden variables may be separated. Embodiments of the TC_VAE framework were examined on semantic similarity tasks and syntactic similarity tasks. Experimental results show that better disentanglement between syntactic and semantic representations have been achieved compared with state-of-the-art (SOTA) results on the same data sets in similar settings.


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