Generating model training data from a domain specification
US12159115B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 19, 2021 |
| Grant date | Dec 3, 2024 |
| Priority date | — |
| Expiry date | Sep 22, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Examples described herein generate training data for machine learning (ML) for natural language (NL) processing (such as semantic parsing for translating NL). A formula tree is generated based on sampling both a formula grammar and NL templates. Using the formula tree, an ML training data instance pair is generated comprising a formula example and an NL example. A context example may also be used during instantiation of the formula tree. An ML model is trained with training data including the ML training data instance pair, and ML output is generated from NL input. The ML output includes, for example, a machine-interpretable formula, a database querying language command, or a general programming language instruction. Some examples support context-free grammar, probabilistic context-free grammar, and/or non-context-free production rules.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.