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:
Jan. 30, 2024

Filed:

Mar. 31, 2021
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Amir Pouran Ben Veyseh, Eugene, OR (US);

Franck Dernoncourt, San Jose, CA (US);

Assignee:

ADOBE, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/00 (2020.01); G06F 40/40 (2020.01); G06N 3/08 (2023.01); G06F 18/22 (2023.01); G06F 18/20 (2023.01); G06F 18/25 (2023.01); G06N 3/048 (2023.01);
U.S. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 18/22 (2023.01); G06F 18/251 (2023.01); G06F 18/29 (2023.01); G06N 3/048 (2023.01); G06N 3/08 (2013.01);
Abstract

Systems and methods for natural language processing are described. One or more embodiments of the present disclosure generate a word embedding for each word of an input phrase, wherein the input phrase indicates a sentiment toward an aspect term, compute a gate vector based on the aspect term, identify a dependency tree representing relations between words of the input phrase, generate a representation vector based on the dependency tree and the word embedding using a graph convolution network, wherein the gate vector is applied to a layer of the graph convolution network, and generate a probability distribution over a plurality of sentiments based on the representation vector.


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