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:
May. 23, 2023

Filed:

Nov. 27, 2019
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Sravan Babu Bodapati, Bellevue, WA (US);

Rishita Rajal Anubhai, Seattle, WA (US);

Georgiana Dinu, New York, NY (US);

Yaser Al-Onaizan, Cortlandt Manor, NY (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/043 (2023.01); G06N 20/00 (2019.01); G06F 40/20 (2020.01); G06V 30/40 (2022.01); G06F 18/22 (2023.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06N 5/043 (2013.01); G06F 18/22 (2023.01); G06F 40/20 (2020.01); G06N 20/00 (2019.01); G06V 30/40 (2022.01); G06F 18/214 (2023.01);
Abstract

Techniques for data lake-based text generation and data augmentation for machine learning training are described. A user-provided dataset including documents and corresponding label information can be automatically supplemented by creating additional high-quality document samples, with labels, via a large repository of documents in a data lake. Documents from the data lake may be identified as being semantically similar to the user-provided documents but different enough to allow a resulting model to learn from the variation in these documents. New documents can be generated from user-provided document samples or data lake sample documents by identifying and replacing slots within the samples and rewriting adjunct tokens.


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