Data manufacturing frameworks for synthesizing synthetic training data to facilitate training a natural language to logical form model
US12307336B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 13, 2022 |
| Grant date | May 20, 2025 |
| Priority date | — |
| Expiry date | Aug 21, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed herein for synthesizing synthetic training data to facilitate training a natural language to logical form model. In one aspect, training data can be synthesized from original under a framework based on templates and a synchronous context-free grammar. In one aspect, training data can be synthesized under a framework based on a probabilistic context-free grammar and a translator. In one aspect, training data can be synthesized under a framework based on tree-to-string translation. In one aspect, the synthetic training data can be combined with original training data in order to train a machine learning model to translate an utterance to a logical form.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.