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2020 EMNLP EMNLP 2020

InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction

Abstract

AbstractIdentifying informative tweets is an important step when building information extraction systems based on social media. WNUT-2020 Task 2 was organised to recognise informative tweets from noise tweets. In this paper, we present our approach to tackle the task objective using transformers. Overall, our approach achieves 10th place in the final rankings scoring 0.9004 F1 score for the test set.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Hansi Hettiarachchi, Tharindu Ranasinghe

Topics

Deep Learning > Architectures > Transformers Natural Language Processing > Applications > Information Extraction Natural Language Processing > Applications > Text Classification Artificial Intelligence > Core AI > Natural Language Processing Deep Learning > Learning Types > Text Classification

Keywords

natural language processing text classification social media analysis social media mining transformer model informative tweet extraction informative tweet
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