BPGC at SemEval-2020 Task 11: Propaganda Detection in News Articles with Multi-Granularity Knowledge Sharing and Linguistic Features Based Ensemble Learning

Rajaswa Patil, Somesh Singh, Swati Agarwal


Abstract
Propaganda spreads the ideology and beliefs of like-minded people, brainwashing their audiences, and sometimes leading to violence. SemEval 2020 Task-11 aims to design automated systems for news propaganda detection. Task-11 consists of two sub-tasks, namely, Span Identification - given any news article, the system tags those specific fragments which contain at least one propaganda technique; and Technique Classification - correctly classify a given propagandist statement amongst 14 propaganda techniques. For sub-task 1, we use contextual embeddings extracted from pre-trained transformer models to represent the text data at various granularities and propose a multi-granularity knowledge sharing approach. For sub-task 2, we use an ensemble of BERT and logistic regression classifiers with linguistic features. Our results reveal that the linguistic features are the strong indicators for covering minority classes in a highly imbalanced dataset.
Anthology ID:
2020.semeval-1.226
Volume:
Proceedings of the Fourteenth Workshop on Semantic Evaluation
Month:
December
Year:
2020
Address:
Barcelona (online)
Venue:
SemEval
SIGs:
SIGLEX | SIGSEM
Publisher:
International Committee for Computational Linguistics
Note:
Pages:
1722–1731
Language:
URL:
https://aclanthology.org/2020.semeval-1.226
DOI:
10.18653/v1/2020.semeval-1.226
Bibkey:
Cite (ACL):
Rajaswa Patil, Somesh Singh, and Swati Agarwal. 2020. BPGC at SemEval-2020 Task 11: Propaganda Detection in News Articles with Multi-Granularity Knowledge Sharing and Linguistic Features Based Ensemble Learning. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 1722–1731, Barcelona (online). International Committee for Computational Linguistics.
Cite (Informal):
BPGC at SemEval-2020 Task 11: Propaganda Detection in News Articles with Multi-Granularity Knowledge Sharing and Linguistic Features Based Ensemble Learning (Patil et al., SemEval 2020)
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PDF:
https://aclanthology.org/2020.semeval-1.226.pdf