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

• URL: http://arxiv.org/abs/2010.05327v1
• Date: Sun, 11 Oct 2020 19:31:18 GMT
• Title: InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction
• Authors: Hansi Hettiarachchi, Tharindu Ranasinghe
• Abstract summary: 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.
• Score: 9.710464466895521
• License: http://creativecommons.org/licenses/by/4.0/
• 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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