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2020 EMNLP EMNLP 2020

CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models

Abstract

AbstractThis paper presents our models for WNUT2020 shared task2. The shared task2 involves identification of COVID-19 related informative tweets. We treat this as binary text clas-sification problem and experiment with pre-trained language models. Our first model which is based on CT-BERT achieves F1-scoreof 88.7% and second model which is an ensemble of CT-BERT, RoBERTa and SVM achieves F1-score of 88.52%.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Yandrapati Prakash Babu, Rajagopal Eswari

Topics

Artificial Intelligence > Core AI > Foundation Models Machine Learning > Core Methods > Classification Machine Learning > Application Areas > Model Merging Deep Learning > Architectures > Transformers Deep Learning > Techniques > Pretraining Natural Language Processing > Applications > Text Classification Deep Learning > Learning Types > Text Classification

Keywords

text classification deep learning support vector machine ensemble method social media transformer model svm model

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