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:
Apr. 09, 2024

Filed:

Aug. 06, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Chen Liang, Los Altos, CA (US);

Wei Yu, Palo Alto, CA (US);

Quoc V. Le, Sunnyvale, CA (US);

Xinyun Chen, Berkeley, CA (US);

Dengyong Zhou, Redmond, WA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/33 (2019.01); G06F 40/20 (2020.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06F 40/216 (2020.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/3347 (2019.01); G06F 40/20 (2020.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06F 40/216 (2020.01); G06F 40/284 (2020.01);
Abstract

The present disclosure is directed to systems and methods for performing reading comprehension with machine learning. More specifically, the present disclosure is directed to a Neural Symbolic Reader (example implementations of which may be referred to as NeRd), which includes a reader to encode the passage and question, and a programmer to generate a program for multi-step reasoning. By using operators like span selection, the program can be executed over a natural language text passage to generate an answer to a natural language text question. NeRd is domain-agnostic such that the same neural architecture works for different domains. Further, NeRd is compositional such that complex programs can be generated by compositionally applying the symbolic operators.


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