Olga Papadopoulou


2019

pdf
Brenda Starr at SemEval-2019 Task 4: Hyperpartisan News Detection
Olga Papadopoulou | Giorgos Kordopatis-Zilos | Markos Zampoglou | Symeon Papadopoulos | Yiannis Kompatsiaris
Proceedings of the 13th International Workshop on Semantic Evaluation

In the effort to tackle the challenge of Hyperpartisan News Detection, i.e., the task of deciding whether a news article is biased towards one party, faction, cause, or person, we experimented with two systems: i) a standard supervised learning approach using superficial text and bag-of-words features from the article title and body, and ii) a deep learning system comprising a four-layer convolutional neural network and max-pooling layers after the embedding layer, feeding the consolidated features to a bi-directional recurrent neural network. We achieved an F-score of 0.712 with our best approach, which corresponds to the mid-range of performance levels in the leaderboard.