  This paper describes our participation in the SemEval-2020 task Detection of
Propaganda Techniques in News Articles. We participate in both subtasks: Span
Identification (SI) and Technique Classification (TC). We use a bi-LSTM
architecture in the SI subtask and train a complex ensemble model for the TC
subtask. Our architectures are built using embeddings from BERT in combination
with additional lexical features and extensive label post-processing. Our
systems achieve a rank of 8 out of 35 teams in the SI subtask (F1-score:
43.86%) and 8 out of 31 teams in the TC subtask (F1-score: 57.37%).
