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:
Mar. 22, 2022

Filed:

Jul. 12, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Dheeru Dua, Irvine, CA (US);

Cicero Nogueira Dos Santos, White Plains, NY (US);

Bowen Zhou, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/00 (2020.01); G06N 3/08 (2006.01); G10L 15/197 (2013.01); G10L 15/02 (2006.01); G06K 9/62 (2022.01); G06F 16/31 (2019.01); G06F 40/216 (2020.01);
U.S. Cl.
CPC ...
G06N 3/088 (2013.01); G06F 16/313 (2019.01); G06F 40/216 (2020.01); G06K 9/6263 (2013.01); G10L 15/02 (2013.01); G10L 15/197 (2013.01);
Abstract

Mechanisms are provided to implement a generative adversarial network (GAN) for natural language processing. With these mechanisms, a generator neural network of the GAN is configured to generate a bag-of-ngrams (BoN) output based on a noise vector input and a discriminator neural network of the GAN is configured to receive a BoN input, where the BoN input is either the BoN output from the generator neural network or a BoN input associated with an actual portion of natural language text. The mechanisms further configure the discriminator neural network of the GAN to output an indication of a probability as to whether the input BoN is from the actual portion of natural language text or is the BoN output of the generator neural network. Moreover, the mechanisms train the generator neural network and discriminator neural network based on a feedback mechanism that compares the output indication from the discriminator neural network to an indicator of whether the input BoN is from the actual portion of natural language text of the BoN output of the generator neural network.


Find Patent Forward Citations

Loading…