@inproceedings{hettiarachchi-ranasinghe-2020-infominer,
title = "{I}nfo{M}iner at {WNUT}-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction",
author = "Hettiarachchi, Hansi and
Ranasinghe, Tharindu",
editor = "Xu, Wei and
Ritter, Alan and
Baldwin, Tim and
Rahimi, Afshin",
booktitle = "Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wnut-1.49",
doi = "10.18653/v1/2020.wnut-1.49",
pages = "359--365",
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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%0 Conference Proceedings
%T InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction
%A Hettiarachchi, Hansi
%A Ranasinghe, Tharindu
%Y Xu, Wei
%Y Ritter, Alan
%Y Baldwin, Tim
%Y Rahimi, Afshin
%S Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F hettiarachchi-ranasinghe-2020-infominer
%X 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.
%R 10.18653/v1/2020.wnut-1.49
%U https://aclanthology.org/2020.wnut-1.49
%U https://doi.org/10.18653/v1/2020.wnut-1.49
%P 359-365
Markdown (Informal)
[InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction](https://aclanthology.org/2020.wnut-1.49) (Hettiarachchi & Ranasinghe, WNUT 2020)
ACL