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:
Feb. 06, 2024

Filed:

Apr. 06, 2021
Applicant:

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

Inventors:

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

Franck Dernoncourt, San Jose, CA (US);

Quan Tran, San Jose, CA (US);

Varun Manjunatha, Newton, MA (US);

Lidan Wang, San Jose, CA (US);

Rajiv Jain, Vienna, VA (US);

Doo Soon Kim, San Jose, CA (US);

Walter Chang, San Jose, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/284 (2020.01); G06F 40/211 (2020.01); G06F 40/30 (2020.01); G06N 3/08 (2023.01); G06F 40/126 (2020.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06F 40/284 (2020.01); G06F 40/126 (2020.01); G06F 40/211 (2020.01); G06F 40/30 (2020.01); G06N 3/044 (2023.01); G06N 3/045 (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 receive a document comprising a plurality of words organized into a plurality of sentences, the words comprising an event trigger word and an argument candidate word, generate word representation vectors for the words, generate a plurality of document structures including a semantic structure for the document based on the word representation vectors, a syntax structure representing dependency relationships between the words, and a discourse structure representing discourse information of the document based on the plurality of sentences, generate a relationship representation vector based on the document structures, and predict a relationship between the event trigger word and the argument candidate word based on the relationship representation vector.


Find Patent Forward Citations

Loading…