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arXiv · 2007.10827

newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda Classification

Paramansh Singh·Siraj Sandhu·Subham Kumar·Ashutosh Modi
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Abstract

This paper describes our submissions to SemEval 2020 Task 11: Detection of Propaganda Techniques in News Articles for each of the two subtasks of Span Identification and Technique Classification. We make use of pre-trained BERT language model enhanced with tagging techniques developed for the task of Named Entity Recognition (NER), to develop a system for identifying propaganda spans in the text. For the second subtask, we incorporate contextual features in a pre-trained RoBERTa model for the classification of propaganda techniques. We were ranked 5th in the propaganda technique classification subtask.

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Paramansh Singh, Siraj Sandhu, Subham Kumar, Ashutosh Modi. 2020-07-21. newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda Classification. https://arxiv.org/abs/2007.10827

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