DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification
August 22, 2020 ยท Declared Dead ยท ๐ International Workshop on Semantic Evaluation
"No code URL or promise found in abstract"
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Authors
Anastasios Bairaktaris, Symeon Symeonidis, Avi Arampatzis
arXiv ID
2008.09894
Category
cs.CL: Computation & Language
Citations
2
Venue
International Workshop on Semantic Evaluation
Last Checked
5 months ago
Abstract
This report describes the methods employed by the Democritus University of Thrace (DUTH) team for participating in SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. Our team dealt with Subtask 2: Technique Classification. We used shallow Natural Language Processing (NLP) preprocessing techniques to reduce the noise in the dataset, feature selection methods, and common supervised machine learning algorithms. Our final model is based on using the BERT system with entity mapping. To improve our model's accuracy, we mapped certain words into five distinct categories by employing word-classes and entity recognition.
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