1 code implementation • NoDaLiDa 2021 • Jeppe Nørregaard, Leon Derczynski
We present a dataset, DanFEVER, intended for multilingual misinformation research.
Ranked #1 on Fact Verification on DanFEVER
no code implementations • 12 Aug 2022 • Jeppe Nørregaard, Leon Derczynski
Measuring inter-annotator agreement is important for annotation tasks, but many metrics require a fully-annotated set of data, where all annotators annotate all samples.
no code implementations • 16 Jun 2020 • Jeppe Nørregaard, Lars Kai Hansen
In this paper we develop a principled, probabilistic, unified approach to non-standard classification tasks, such as semi-supervised, positive-unlabelled, multi-positive-unlabelled and noisy-label learning.
no code implementations • 29 May 2019 • Jeppe Nørregaard, Lars Kai Hansen
We investigate probabilistic decoupling of labels supplied for training, from the underlying classes for prediction.