Environmental Claim Detection

Abstract

To transition to a green economy, environmen- tal claims made by companies must be reli- able, comparable, and verifiable. To analyze such claims at scale, automated methods are needed to detect them in the first place. How- ever, there exist no datasets or models for this. Thus, this paper introduces the task of envi- ronmental claim detection. To accompany the task, we release an expert-annotated dataset and models trained on this dataset. We preview one potential application of such models: We detect environmental claims made in quarterly earning calls and find that the number of envi- ronmental claims has steadily increased since the Paris Agreement in 2015.

Keywords: Environmental Claims, Climate Change Dataset, Natural Language Processing