38 citations · 70 across the 6 of their papers we have counts for
6 papers
Sparse Probability of Agreement
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. We define…
NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Maurício Gruppi, Benjamin D. Horne, Sibel Adalı
In this paper, we present an updated version of the NELA-GT-2019 dataset, entitled NELA-GT-2020. NELA-GT-2020 contains nearly 1.8M news articles from 519 sources collected between…
Probabilistic Decoupling of Labels in Classification
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…
Probabilistic Decoupling of Labels in Classification
Jeppe Nørregaard, Lars Kai Hansen
We investigate probabilistic decoupling of labels supplied for training, from the underlying classes for prediction. Decoupling enables an inference scheme general enough to implem…
NELA-GT-2018: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Jeppe Norregaard, Benjamin D. Horne, Sibel Adali
In this paper, we present a dataset of 713k articles collected between 02/2018-11/2018. These articles are collected directly from 194 news and media outlets including mainstream,…
Different Spirals of Sameness: A Study of Content Sharing in Mainstream and Alternative Media
Benjamin D. Horne, Jeppe Norregaard, Sibel Adali
In this paper, we analyze content sharing between news sources in the alternative and mainstream media using a dataset of 713K articles and 194 sources. We find that content sharin…