Renyuan Liu, Xiaobing Zhou
CONSTRAINT@AAAI, 2021
This paper introduces the result of Team Grenzlinie’s experiment in CONSTRAINT 2021 shared task This task has two subtasks Subtask1 is the COVID-19 Fake News Detection task in English, a binary classification task This paper chooses RoBERTa as the pre-trained model, and tries to build a graph from news datasets Finally, our system achieves an accuracy of 98 64% and an F1-score of 98 64% on the test dataset Subtask2 is a Hostile Post Detection task in Hindi, a multi-labels task In this task, XLM-RoBERTa is chosen as the pre-trained model The adapted threshold is adopted to solve the data unbalanced problem, and then Bi-LSTM, LEAM, LaSO approaches are adopted to obtain more abundant semantic information The final approach achieves the accuracy of 74 11% and weight F1-score of 81 77% on the test dataset © 2021, Springer Nature Switzerland AG
Cited by 1 publication.
Field of study: Computer Science