Systems and methods for narrative detection and frame detection using generalized concepts and relations
US10599700B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 23, 2016 |
| Grant date | Mar 24, 2020 |
| Priority date | — |
| Expiry date | Sep 24, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Co-clustering based on generalized conceptual relationships can automatically detect story forms incorporating archetypes/targets and actions. Co-clustering can help in identifying similarities that exist in low-dimensional sub-spaces of sparse data such as textual paragraphs. Through co-clustering, the clusters themselves and their characteristic features are identifiable which can be useful in describing and summarizing their contents. The residual error of factorization with concept-based features is significantly lower than the error with prior keyword-based features. Qualitative evaluations also suggest that concept-based features yield more coherent, distinctive and interesting story forms compared to those produced by using prior keyword-based features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.