Yuanzhen Lin

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2019

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Team Peter-Parker at SemEval-2019 Task 4: BERT-Based Method in Hyperpartisan News Detection
Zhiyuan Ning | Yuanzhen Lin | Ruichao Zhong
Proceedings of the 13th International Workshop on Semantic Evaluation

This paper describes the team peter-parker’s participation in Hyperpartisan News Detection task (SemEval-2019 Task 4), which requires to classify whether a given news article is bias or not. We decided to use JAVA to do the article parsing tool and the BERT-Based model to do the bias prediction. Furthermore, we will show experiment results with analysis.
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