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. 12, 2026

Filed:

Sep. 30, 2020
Applicant:

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

Inventors:

Yahor Pushkin, Redmond, WA (US);

Rishita Rajal Anubhai, Seattle, WA (US);

Sameer Karnik, Issaquah, WA (US);

Sunil Mallya Kasaragod, San Francisco, CA (US);

Abhinav Goyal, Snohomish, WA (US);

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

Ashish Singh, Sammamish, WA (US);

Ashish Khare, Fremont, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 18/214 (2023.01); G06F 40/295 (2020.01);
U.S. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 18/2148 (2023.01); G06F 40/295 (2020.01);
Abstract

Methods, systems, and computer-readable media for lifecycle management for customized natural language processing are disclosed. A natural language processing (NLP) customization service determines a task definition associated with an NLP model based (at least in part) on user input. The task definition comprises an indication of one or more tasks to be implemented using the NLP model and one or more requirements associated with use of the NLP model. The service determines the NLP model based (at least in part) on the task definition. The service trains the NLP model. The NLP model is used to perform inference for a plurality of input documents. The inference outputs a plurality of predictions based (at least in part) on the input documents. Inference data is collected based (at least in part) on the inference. The service generates a retrained NLP model based (at least in part) on the inference data.


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