Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels

Jonas Pfeiffer; Smaranda Muresan; Tariq Alhindi

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Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels

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arxiv 1910.09702 v1 pith:KBTENAXF submitted 2019-10-22 cs.CL

Tariq Alhindi , Jonas Pfeiffer , Smaranda Muresan This is my paper · ORCID

classification cs.CL

keywords propagandataskclassificationdetectionmodelsteamsablationanalysis

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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.

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