Combining unsupervised and semi-supervised deep clustering approaches for mining intentions from texts
US12153897B2 · kind B2 · utility
0Cited by
0References
19Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Sep 17, 2021 |
| Grant date | Nov 26, 2024 |
| Priority date | — |
| Expiry date | Jan 28, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An analysis platform combines unsupervised and semi-supervised approaches to quickly surface and organize relevant user intentions from conversational text (e.g., from natural language inputs). An unsupervised and semi-supervised pipeline is provided that integrates the fine-tuning of high performing language models via a language models fine-tuning module, a distributed KNN-graph building method via a KNN-graph building module, and community detection techniques for mining the intentions and topics from texts via an intention mining module.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.