CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models
Computation and Language
2020-09-15 v1
Abstract
This paper presents our models for WNUT 2020 shared task2. The shared task2 involves identification of COVID-19 related informative tweets. We treat this as binary text classification problem and experiment with pre-trained language models. Our first model which is based on CT-BERT achieves F1-score of 88.7% and second model which is an ensemble of CT-BERT, RoBERTa and SVM achieves F1-score of 88.52%.
Keywords
Cite
@article{arxiv.2009.05782,
title = {CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models},
author = {Yandrapati Prakash Babu and Rajagopal Eswari},
journal= {arXiv preprint arXiv:2009.05782},
year = {2020}
}
Comments
4 pages, 2 figures