Generating ground truth annotations corresponding to digital image editing dialogues for training state tracking models
US11100917B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2019 |
| Grant date | Aug 24, 2021 |
| Priority date | — |
| Expiry date | Mar 27, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/223
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate ground truth annotations of target utterances in digital image editing dialogues in order to create a state-driven training data set. In particular, in one or more embodiments, the disclosed systems utilize machine and user defined tags, machine learning model predictions, and user input to generate a ground truth annotation that includes frame information in addition to intent, attribute, object, and/or location information. In at least one embodiment, the disclosed systems generate ground truth annotations in conformance with an annotation ontology that results in fast and accurate digital image editing dialogue annotation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.