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Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English

Authors :
Li, Xiangyang
Xia, Yu
Long, Xiang
Li, Zheng
Li, Sujian
Source :
First International Workshop, CONSTRAINT 2021 co-located with AAAI 2021
Publication Year :
2021

Abstract

In this paper, we describe our system for the AAAI 2021 shared task of COVID-19 Fake News Detection in English, where we achieved the 3rd position with the weighted F1 score of 0.9859 on the test set. Specifically, we proposed an ensemble method of different pre-trained language models such as BERT, Roberta, Ernie, etc. with various training strategies including warm-up,learning rate schedule and k-fold cross-validation. We also conduct an extensive analysis of the samples that are not correctly classified. The code is available at:https://github.com/archersama/3rd-solution-COVID19-Fake-News-Detection-in-English.<br />Comment: 3rd solution of 'Constraint@AAAI2021 - COVID19 Fake News Detection in English'

Details

Language :
English
Database :
arXiv
Journal :
First International Workshop, CONSTRAINT 2021 co-located with AAAI 2021
Publication Type :
Report
Accession number :
edsarx.2101.02359
Document Type :
Working Paper