@inproceedings{cornelius-etal-2021-approaching,
title = "Approaching {SMM}4{H} with auto-regressive language models and back-translation",
author = "Cornelius, Joseph and
Ellendorff, Tilia and
Rinaldi, Fabio",
booktitle = "Proceedings of the Sixth Social Media Mining for Health ({\#}SMM4H) Workshop and Shared Task",
month = jun,
year = "2021",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.smm4h-1.32",
doi = "10.18653/v1/2021.smm4h-1.32",
pages = "146--148",
abstract = "We describe our submissions to the 6th edition of the Social Media Mining for Health Applications (SMM4H) shared task. Our team (OGNLP) participated in the sub-task: Classification of tweets self-reporting potential cases of COVID-19 (Task 5). For our submissions, we employed systems based on auto-regressive transformer models (XLNet) and back-translation for balancing the dataset.",
}
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%0 Conference Proceedings
%T Approaching SMM4H with auto-regressive language models and back-translation
%A Cornelius, Joseph
%A Ellendorff, Tilia
%A Rinaldi, Fabio
%S Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task
%D 2021
%8 jun
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F cornelius-etal-2021-approaching
%X We describe our submissions to the 6th edition of the Social Media Mining for Health Applications (SMM4H) shared task. Our team (OGNLP) participated in the sub-task: Classification of tweets self-reporting potential cases of COVID-19 (Task 5). For our submissions, we employed systems based on auto-regressive transformer models (XLNet) and back-translation for balancing the dataset.
%R 10.18653/v1/2021.smm4h-1.32
%U https://aclanthology.org/2021.smm4h-1.32
%U https://doi.org/10.18653/v1/2021.smm4h-1.32
%P 146-148
Markdown (Informal)
[Approaching SMM4H with auto-regressive language models and back-translation](https://aclanthology.org/2021.smm4h-1.32) (Cornelius et al., SMM4H 2021)
ACL