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:
Jul. 08, 2025

Filed:

Mar. 27, 2023
Applicant:

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

Inventors:

Haibo Ding, Fremont, CA (US);

Lin Lee Cheong, Redwood City, CA (US);

Rishita Rajal Anubhai, Seattle, WA (US);

Muhammad Bilal Zafar, Berlin, DE;

Huzefa Rangwala, Washington, DC (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 3/0482 (2013.01); G06F 40/211 (2020.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 3/0482 (2013.01); G06F 40/211 (2020.01); G06F 40/284 (2020.01);
Abstract

Techniques for implementing and using a customizable framework for natural language processing explainability are described. A user of a machine learning (ML) service can generate an explainability configuration identifying a user-selected segmented or a user-selected granularity level, from multiple granularity levels supported by the ML service, at which to use for segmenting text during an ML explainability analysis. The ML service can execute a user-configurable explanation pipeline as part of the explainability analysis of at least an input text, including segmenting the input text using the user-selected segmented or a segmentation algorithm corresponding to the user-selected granularity level to yield candidate segments, generating a mask corresponding to the candidate segments, and executing an explanation algorithm based at least on use of the candidate segments and the mask to yield a result.


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