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Fabian Flöck

1 accepted papers

2021

How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?

EMNLP 2021main

As NLP models are increasingly deployed in socially situated settings such as online abusive content detection, it is crucial to ensure that these models are robust. One way of improving model robustness is to generate counterfactually augmented data (CAD) for training models that can better learn t…