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. 02, 2024

Filed:

Dec. 02, 2022
Applicant:

Dsilo, Inc., New York, NY (US);

Inventors:

Jaya Prakash Narayana Gutta, New York, NY (US);

Sharad Malhautra, New York, NY (US);

Lalit Gupta, Bangalore, IN;

Assignee:

DSilo Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/33 (2019.01); G06F 40/295 (2020.01); G06N 20/20 (2019.01); G06F 16/31 (2019.01); G06F 16/35 (2019.01); G06Q 50/18 (2012.01); G06F 40/279 (2020.01); G06F 40/186 (2020.01);
U.S. Cl.
CPC ...
G06F 16/3344 (2019.01); G06F 16/31 (2019.01); G06F 16/3347 (2019.01); G06F 16/355 (2019.01); G06F 40/186 (2020.01); G06F 40/279 (2020.01); G06F 40/295 (2020.01); G06N 20/20 (2019.01); G06Q 50/18 (2013.01);
Abstract

Some embodiments may obtain a natural language question, determine a context of the natural language question, and generate a first vector based on the natural language question using encoder neural network layers. Some embodiments may access a data table comprising column names, generate vectors based on the column names, and determine attention scores based on the vectors. Some embodiments may update the vectors based on the attention scores, generating a second vector based on the natural language question, determine a set of strings comprising a name of the column names and a database language operator based on the vectors. Some embodiments may determine a values based on the determined database language operator, the name, using a transformer neural network model. Some embodiments may generate a query based on the set of strings and the values.


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