Customizable framework for natural language processing explainability
US12353837B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2023 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Jan 5, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.