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

October 11, 2020 ยท Declared Dead ยท ๐Ÿ› WNUT

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Authors Hansi Hettiarachchi, Tharindu Ranasinghe arXiv ID 2010.05327 Category cs.CL: Computation & Language Cross-listed cs.LG Citations 21 Venue WNUT Last Checked 4 months ago
Abstract
Identifying 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.
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