  This paper presents the approach that we employed to tackle the EMNLP
WNUT-2020 Shared Task 2 : Identification of informative COVID-19 English
Tweets. The task is to develop a system that automatically identifies whether
an English Tweet related to the novel coronavirus (COVID-19) is informative or
not. We solve the task in three stages. The first stage involves pre-processing
the dataset by filtering only relevant information. This is followed by
experimenting with multiple deep learning models like CNNs, RNNs and
Transformer based models. In the last stage, we propose an ensemble of the best
model trained on different subsets of the provided dataset. Our final approach
achieved an F1-score of 0.9037 and we were ranked sixth overall with F1-score
as the evaluation criteria.
