@inproceedings{kumar-etal-2021-adversities,
title = "Adversities are all you need: Classification of self-reported breast cancer posts on {T}witter using Adversarial Fine-tuning",
author = "Kumar, Adarsh and
Kamal, Ojasv and
Mazumdar, Susmita",
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-1.22",
doi = "10.18653/v1/2021.smm4h-1.22",
pages = "112--114",
abstract = "In this paper, we describe our system entry for Shared Task 8 at SMM4H-2021, which is on automatic classification of self-reported breast cancer posts on Twitter. In our system, we use a transformer-based language model fine-tuning approach to automatically identify tweets in the self-reports category. Furthermore, we involve a Gradient-based Adversarial fine-tuning to improve the overall model{'}s robustness. Our system achieved an F1-score of 0.8625 on the Development set and 0.8501 on the Test set in Shared Task-8 of SMM4H-2021.",
}
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%0 Conference Proceedings
%T Adversities are all you need: Classification of self-reported breast cancer posts on Twitter using Adversarial Fine-tuning
%A Kumar, Adarsh
%A Kamal, Ojasv
%A Mazumdar, Susmita
%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 kumar-etal-2021-adversities
%X In this paper, we describe our system entry for Shared Task 8 at SMM4H-2021, which is on automatic classification of self-reported breast cancer posts on Twitter. In our system, we use a transformer-based language model fine-tuning approach to automatically identify tweets in the self-reports category. Furthermore, we involve a Gradient-based Adversarial fine-tuning to improve the overall model’s robustness. Our system achieved an F1-score of 0.8625 on the Development set and 0.8501 on the Test set in Shared Task-8 of SMM4H-2021.
%R 10.18653/v1/2021.smm4h-1.22
%U https://aclanthology.org/2021.smm4h-1.22
%U https://doi.org/10.18653/v1/2021.smm4h-1.22
%P 112-114
Markdown (Informal)
[Adversities are all you need: Classification of self-reported breast cancer posts on Twitter using Adversarial Fine-tuning](https://aclanthology.org/2021.smm4h-1.22) (Kumar et al., SMM4H 2021)
ACL