  This paper describes our contribution to SemEval-2020 Task 11: Detection Of
Propaganda Techniques In News Articles. We start with simple LSTM baselines and
move to an autoregressive transformer decoder to predict long continuous
propaganda spans for the first subtask. We also adopt an approach from relation
extraction by enveloping spans mentioned above with special tokens for the
second subtask of propaganda technique classification. Our models report an
F-score of 44.6% and a micro-averaged F-score of 58.2% for those tasks
accordingly.
