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. 12, 2023

Filed:

Dec. 09, 2020
Applicant:

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

Inventors:

Quan Tran, San Jose, CA (US);

Walter Chang, San Jose, CA (US);

Franck Dernoncourt, San Jose, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 16/242 (2019.01); G06F 40/40 (2020.01); H04L 51/02 (2022.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 16/243 (2019.01); G06F 40/40 (2020.01); G06N 3/08 (2013.01); H04L 51/02 (2013.01);
Abstract

The present disclosure provides a memory-based neural network for question answering. Embodiments of the disclosure identify meta-evidence nodes in an embedding space, where the meta-evidence nodes represent salient features of a training set. Each element of the training set may include a questions appended to a ground truth answer. The training set may also include questions with wrong answers that are indicated as such. In some examples, a neural Turing machine (NTM) reads a dataset and summarizes the dataset into a few meta-evidence nodes. A subsequent question may be appended to multiple candidate answers to form an input phrase, which may also be embedded in the embedding space. Then, corresponding weights may be identified for each of the meta-evidence nodes. The embedded input phrase and the weighted meta-evidence nodes may be used to identify the most appropriate answer.


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