Papers with binary and multi-class labels
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks (N19-1)
Copied to clipboard
| Challenge: | Existing models that estimate annotators' reliability only consider binary labels and multi-class labels. |
| Approach: | They propose an unsupervised model which can handle binary and multi-class labels and integrate neural networks to model the dependency between latent variables and instances. |
| Outcome: | The proposed model can handle binary and multi-class labels and can estimate reliability of annotators across instances. |