Textual explanations for abstract syntax trees with scored nodes
US12260306B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 19, 2022 |
| Grant date | Mar 25, 2025 |
| Priority date | — |
| Expiry date | Jul 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Herein is a machine learning (ML) explainability (MLX) approach in which a natural language explanation is generated based on analysis of a parse tree such as for a suspicious database query or web browser JavaScript. In an embodiment, a computer selects, based on a respective relevance score for each non-leaf node in a parse tree of a statement, a relevant subset of non-leaf nodes. The non-leaf nodes are grouped in the parse tree into groups that represent respective portions of the statement. Based on a relevant subset of the groups that contain at least one non-leaf node in the relevant subset of non-leaf nodes, a natural language explanation of why the statement is anomalous is generated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.