This paper describes our methods submitted for the GermEval 2021 shared task on identifying toxic, engaging and fact-claiming comments in social media texts (Risch et al., 2021). We explore simple strategies for semi-automatic generation of rule-base
d systems with high precision and low recall, and use them to achieve slight overall improvements over a standard BERT-based classifier.
