multiple-annotators
There are 3 repositories under multiple-annotators topic.
fmpr/CrowdLayer
A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.
gdikov/stochastic-segmentation-networks
Tutorial reimplementation of Monteiro et al. (2020) on a toy problem.
jyanqa/case-2022-causual-event
Codebase of the CASE@EMNLP 2022 paper: Causality Detection using Multiple Annotation Decision.