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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title A dataset for detecting real-world environmental claims
Organization Unit
  • Markus Leippold
  • Dominik Stammbach
  • Nicolas Webersinke
  • Julia Anna Bingler
  • Mathias Kraus
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
Page Range 1 - 14
Event Title 61st Annual Meeting of the Association for Computational Linguistics (ACL’23)
Event Type conference
Event Location Toronto, Canada
Event Start Date July 9 - 2023
Event End Date July 14 - 2023
Place of Publication Toronto, Canada
Abstract Text In this paper, we introduce an expert-annotated dataset for detecting real-world environmental claims made by listed companies. We train and release baseline models for detecting environmental claims using this new dataset. We further preview potential applications of our dataset: We use our fine-tuned model to detect environmental claims made in answer sections of quarterly earning calls between 2012 and 2020 - and we find that the amount of environmental claims steadily increased since the Paris Agreement in 2015.
Free access at DOI
Official URL
Digital Object Identifier 10.48550/arXiv.2209.00507
Other Identification Number merlin-id:23708
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