Utilizing discourse structure of noisy user-generated content for chatbot learning
US10599885B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 15, 2018 |
| Grant date | Mar 24, 2020 |
| Priority date | — |
| Expiry date | Jun 29, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, devices, and methods of the present invention uses noisy-robust discourse trees to determine a rhetorical relationship between one or more sentences. In an example, a rhetoric classification application creates a noisy-robust communicative discourse tree. The application accesses a document that includes a first sentence, a second sentence, a third sentence, and a fourth sentence. The application identifies that syntactic parse trees cannot be generated for the first sentence and the second sentence. The application further creates a first communicative discourse tree from the second, third, and fourth sentences and a second communicative discourse tree from the first, third, and fourth sentences. The application aligns the first communicative discourse tree and the second communicative discourse tree and removes any elementary discourse units not corresponding to a relationship that is in common between the first and second communicative discourse trees.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.