4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
Identifying Incorrect Annotations in Multi-Label Classification Data
Aditya Thyagarajan, Elías Snorrason, Curtis Northcutt +1
In multi-label classification, each example in a dataset may be annotated as belonging to one or more classes (or none of the classes). Example applications include image (or docum…
cs.CL2022★ 4 cited
Detecting Label Errors in Token Classification Data
Wei-Chen Wang, Jonas Mueller
Mislabeled examples are a common issue in real-world data, particularly for tasks like token classification where many labels must be chosen on a fine-grained basis. Here we consid…