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. 02, 2021

Filed:

Feb. 01, 2019
Applicant:

Conduent Business Services, Llc, Dallas, TX (US);

Inventors:

Sakshi Agarwal, West Bengal, IN;

Sandya Srivilliputtur Mannarswamy, Karnataka, IN;

Assignee:

CONDUENT BUSINESS SERVICES, LLC, Florham Park, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/27 (2006.01); G06F 40/289 (2020.01); G06N 3/04 (2006.01); G06F 16/958 (2019.01); G06N 3/08 (2006.01); G06F 40/242 (2020.01);
U.S. Cl.
CPC ...
G06F 40/289 (2020.01); G06F 16/972 (2019.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G06F 40/242 (2020.01);
Abstract

Additional background information is used with a trained neural network based model to help classify whether text is a subtly and/or ambiguously offensive. This additional background information can come from different sources such as the article on which the comment was made, world knowledge about the external entities (e.g., Wikipedia, Urban Dictionary), phrases referenced in the text being classified, and, the context of the previous comments/text in the thread. The background information is retrieved based on key entities (e.g., people, places things) and/or key phrases in the comment. Sentence matrix encodings are built for both the comment and the background information. The background information encoding is used to condition the comment encoding. The background information encoding, and the conditioned comment encoding are fed to a trained multi-level perceptron to classify the comment as hate speech or non-hate speech.


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