https://github.com/archersama/3rd-solution-covid19-fake-news-detection-in-english

AAAI2021 COVID19-Fake-News-Detection-in-English challenge 3rd soulution
https://github.com/archersama/3rd-solution-covid19-fake-news-detection-in-english

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AAAI2021 COVID19-Fake-News-Detection-in-English challenge 3rd soulution

• Host: GitHub
• URL: https://github.com/archersama/3rd-solution-covid19-fake-news-detection-in-english
• Owner: archersama
• Created: 2020-12-23T07:33:30.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-06-02T10:12:31.000Z (over 2 years ago)
• Last Synced: 2024-12-09T19:11:26.363Z (about 1 month ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 3.78 MB
• Stars: 26
• Watchers: 1
• Forks: 10
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        







[Constraint@AAAI2021 - COVID19 Fake News Detection in English](https://competitions.codalab.org/competitions/26655)

## [(English Readme)](https://github.com/archersama/3rd-solution-COVID19-Fake-News-Detection-in-English/blob/main/readme(en).md)

第三名解决方案，包含全部代码、评测论文以及我们搜集的额外数据和官方数据.

论文已经被接受AAAI 2021 First Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation接收，并在研讨会上进行宣讲

## 赛题描述：

英文COVID19假新闻检测-此子任务重点在于用英语检测与COVID19相关的假新闻。数据源是各种社交媒体平台，例如Twitter，Facebook，Instagram等。给定社交媒体帖子，共享任务的目的是将其分类为假新闻或真实新闻。

### 任务分类：

* 文本分类

## 数据说明：

`Constraint_English_Train.xlsx`是官方给的训练样本示例，为xlsx数据格式。数据格式如下：

|id|tweet|label|

|---|---|---|

|0|Alfalfa is the only cure for COVID-19.	|0|

## 模型架构：

在本文中一共使用了两个模型,分别基于双向LSTM和transformers架构

1.双向LSTM

2.text-transformers

## 算力要求

在谷歌kaggle平台的tpu进行训练

## 论文链接

https://arxiv.org/abs/2101.02359

## 引用我们的工作

```

@article{li2021exploring,

  title={Exploring text-transformers in aaai 2021 shared task: Covid-19 fake news detection in english},

  author={Li, Xiangyang and Xia, Yu and Long, Xiang and Li, Zheng and Li, Sujian},

  journal={arXiv preprint arXiv:2101.02359},

  year={2021}

}

```

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感兴趣就给个star吧:-D

**最后感谢队友@[SwordFaith](https://github.com/SwordFaith)