Intelligent training set augmentation for natural language processing tasks
US11599721B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 25, 2020 |
| Grant date | Mar 7, 2023 |
| Priority date | — |
| Expiry date | May 26, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A natural language processing system that trains task models for particular natural language tasks programmatically generates additional utterances for inclusion in the training set, based on the existing utterances in the training set and the existing state of a task model as generated from the original (non-augmented) training set. More specifically, the training augmentation module 220 identifies specific textual units of utterances and generates variants of the utterances based on those identified units. The identification is based on determined importances of the textual units to the output of the task model, as well as on task rules that correspond to the natural language task for which the task model is being generated. The generation of the additional utterances improves the quality of the task model without the expense of manual labeling of utterances for training set inclusion.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.