@inproceedings{bhatia-etal-2021-automatic,
title = "Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism",
author = "Bhatia, Shraey and
Lau, Jey Han and
Baldwin, Timothy",
editor = "Toutanova, Kristina and
Rumshisky, Anna and
Zettlemoyer, Luke and
Hakkani-Tur, Dilek and
Beltagy, Iz and
Bethard, Steven and
Cotterell, Ryan and
Chakraborty, Tanmoy and
Zhou, Yichao",
booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.naacl-main.175",
doi = "10.18653/v1/2021.naacl-main.175",
pages = "2167--2175",
abstract = "Neutralisation techniques, e.g. denial of responsibility and denial of victim, are used in the narrative of climate change scepticism to justify lack of action or to promote an alternative view. We first draw on social science to introduce the problem to the community of nlp, present the granularity of the coding schema and then collect manual annotations of neutralised techniques in text relating to climate change, and experiment with supervised and semi- supervised BERT-based models.",
}
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%0 Conference Proceedings
%T Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism
%A Bhatia, Shraey
%A Lau, Jey Han
%A Baldwin, Timothy
%Y Toutanova, Kristina
%Y Rumshisky, Anna
%Y Zettlemoyer, Luke
%Y Hakkani-Tur, Dilek
%Y Beltagy, Iz
%Y Bethard, Steven
%Y Cotterell, Ryan
%Y Chakraborty, Tanmoy
%Y Zhou, Yichao
%S Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
%D 2021
%8 June
%I Association for Computational Linguistics
%C Online
%F bhatia-etal-2021-automatic
%X Neutralisation techniques, e.g. denial of responsibility and denial of victim, are used in the narrative of climate change scepticism to justify lack of action or to promote an alternative view. We first draw on social science to introduce the problem to the community of nlp, present the granularity of the coding schema and then collect manual annotations of neutralised techniques in text relating to climate change, and experiment with supervised and semi- supervised BERT-based models.
%R 10.18653/v1/2021.naacl-main.175
%U https://aclanthology.org/2021.naacl-main.175
%U https://doi.org/10.18653/v1/2021.naacl-main.175
%P 2167-2175
Markdown (Informal)
[Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism](https://aclanthology.org/2021.naacl-main.175) (Bhatia et al., NAACL 2021)
ACL