Papers by Camilla Hyslop

1 papers
ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets (2023.emnlp-main)

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Challenge: Existing tools for extracting information about net zero and emission reduction targets have not been used to assess the vast amounts of information about sustainability commitments made by public and private actors.
Approach: They propose a data set and train and release a natural language classifier to detect whether a text contains a net zero or reduction target.
Outcome: The proposed model can be combined with conventional Q&A models to analyze the ambitions displayed in net zero and reduction targets.

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