Abstract
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 parser and the BERT model to do the bias analysis and prediction. Furthermore, we will show experiment results with analysis.
Cite
CITATION STYLE
Ning, Z., Lin, Y., & Zhong, R. (2019). Team Peter-Parker at SemEval-2019 task 4: BERT-based method in hyperpartisan news detection. In NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop (pp. 1037–1040). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s19-2181
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