@inproceedings{ohashi-etal-2020-idsou,
title = "{IDSOU} at {WNUT}-2020 Task 2: Identification of Informative {COVID}-19 {E}nglish Tweets",
author = "Ohashi, Sora and
Kajiwara, Tomoyuki and
Chu, Chenhui and
Takemura, Noriko and
Nakashima, Yuta and
Nagahara, Hajime",
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-1.62",
doi = "10.18653/v1/2020.wnut-1.62",
pages = "428--433",
abstract = "We introduce the IDSOU submission for the WNUT-2020 task 2: identification of informative COVID-19 English Tweets. Our system is an ensemble of pre-trained language models such as BERT. We ranked 16th in the F1 score.",
}
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%0 Conference Proceedings
%T IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets
%A Ohashi, Sora
%A Kajiwara, Tomoyuki
%A Chu, Chenhui
%A Takemura, Noriko
%A Nakashima, Yuta
%A Nagahara, Hajime
%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 ohashi-etal-2020-idsou
%X We introduce the IDSOU submission for the WNUT-2020 task 2: identification of informative COVID-19 English Tweets. Our system is an ensemble of pre-trained language models such as BERT. We ranked 16th in the F1 score.
%R 10.18653/v1/2020.wnut-1.62
%U https://aclanthology.org/2020.wnut-1.62
%U https://doi.org/10.18653/v1/2020.wnut-1.62
%P 428-433
Markdown (Informal)
[IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets](https://aclanthology.org/2020.wnut-1.62) (Ohashi et al., WNUT 2020)
ACL