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Can I read ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets on EtoBox?

ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets by Schimanski, Tobias; Bingler, Julia; Hyslop, Camilla; Kraus, Mathias; Leippold, Markus is a scholarly article available to read on EtoBox.

What is ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets about?

Public and private actors struggle to assess the vast amounts of information about sustainability commitments made by various institutions. To address this problem, we create a novel tool for automatically detecting corporate, national, and regional net zero and reduction targets in three steps. First, we introduce an expert-annotated data set with 3.5K text samples. Second, we train and release ClimateBERT-NetZero, a natural language classifier to detect whether a text contains a net zero or reduction target. Third, we showcase its analysis potential with two use cases: We first demonstrate how ClimateBERT-NetZero can be combined with conventional question-answering (Q&A) models to analyze the ambitions displayed in net zero and reduction targets. Furthermore, we employ the ClimateBERT-NetZero model on quarterly earning call transcripts and outline how communication patterns evolve over time. Our experiments demonstrate promising pathways for extracting and analyzing net zero and emission reduction targets at scale.

Author
Schimanski, Tobias; Bingler, Julia; Hyslop, Camilla; Kraus, Mathias; Leippold, Markus
Published
2023
Language
EN

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