Intent authoring using weak supervision and co-training for automated response systems
US11568856B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 21, 2020 |
| Grant date | Jan 31, 2023 |
| Priority date | — |
| Expiry date | May 22, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/223
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A combination of propagation operations and learning algorithms is applied, using a selected set of labeled conversational logs retrieved from a subset of a plurality of conversational logs, to a remaining corpus of the plurality of conversational logs to train an automated response system according to an intent associated with each of the conversational logs. The combination of propagation operations and learning algorithms may include defining the labels by a user for the selected set of the subset of the plurality of conversational logs; training a probabilistic classifier using the defined labels of features of the selected set, wherein the probabilistic classifier produces labeling decisions for the subset of conversational logs; weighting the features of the selected set in a model optimization process; and/or training an additional classifier using the weighted features of the selected set and applying the additional classifier to the remaining corpus.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.