  This paper presents the CUNLP submission for the NLP4IF 2019 shared-task on
FineGrained Propaganda Detection. Our system finished 5th out of 26 teams on
the sentence-level classification task and 5th out of 11 teams on the
fragment-level classification task based on our scores on the blind test set.
We present our models, a discussion of our ablation studies and experiments,
and an analysis of our performance on all eighteen propaganda techniques
present in the corpus of the shared task.
