@inproceedings{ning-etal-2019-team,
title = "Team Peter-Parker at {S}em{E}val-2019 Task 4: {BERT}-Based Method in Hyperpartisan News Detection",
author = "Ning, Zhiyuan and
Lin, Yuanzhen and
Zhong, Ruichao",
editor = "May, Jonathan and
Shutova, Ekaterina and
Herbelot, Aurelie and
Zhu, Xiaodan and
Apidianaki, Marianna and
Mohammad, Saif M.",
booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S19-2181/",
doi = "10.18653/v1/S19-2181",
pages = "1037--1040",
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 parsing tool and the BERT-Based model to do the bias prediction. Furthermore, we will show experiment results with analysis."
}
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<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 parsing tool and the BERT-Based model to do the bias prediction. Furthermore, we will show experiment results with analysis.</abstract>
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%0 Conference Proceedings
%T Team Peter-Parker at SemEval-2019 Task 4: BERT-Based Method in Hyperpartisan News Detection
%A Ning, Zhiyuan
%A Lin, Yuanzhen
%A Zhong, Ruichao
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%S Proceedings of the 13th International Workshop on Semantic Evaluation
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota, USA
%F ning-etal-2019-team
%X 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.
%R 10.18653/v1/S19-2181
%U https://aclanthology.org/S19-2181/
%U https://doi.org/10.18653/v1/S19-2181
%P 1037-1040
Markdown (Informal)
[Team Peter-Parker at SemEval-2019 Task 4: BERT-Based Method in Hyperpartisan News Detection](https://aclanthology.org/S19-2181/) (Ning et al., SemEval 2019)
ACL