Neural symbolic reader
US11954442B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 6, 2020 |
| Grant date | Apr 9, 2024 |
| Priority date | — |
| Expiry date | Aug 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure is directed to systems and methods for performing reading comprehension with machine learning. More specifically, the present disclosure is directed to a Neural Symbolic Reader (example implementations of which may be referred to as NeRd), which includes a reader to encode the passage and question, and a programmer to generate a program for multi-step reasoning. By using operators like span selection, the program can be executed over a natural language text passage to generate an answer to a natural language text question. NeRd is domain-agnostic such that the same neural architecture works for different domains. Further, NeRd is compositional such that complex programs can be generated by compositionally applying the symbolic operators.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.