Papers by Julia Bingler
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools (2023.emnlp-demo)
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Jingwei Ni, Julia Bingler, Chiara Colesanti-Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, Markus Leippold
| Challenge: | a lack of transparency in sustainability reporting is a key challenge due to the sheer volume and complexity of sustainability reports . only a few entities worldwide have the resources to analyze these reports at scale . a novel LLM-based system to automate the analysis of corporate sustainability reports is needed . |
| Approach: | They propose a novel LLM-based system to automate the analysis of corporate sustainability reports. |
| Outcome: | The proposed system automates the analysis of corporate sustainability reports. |
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. |
Environmental Claim Detection (2023.acl-short)
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| Challenge: | a growing number of environmental claims are being made by companies in the face of climate change. |
| Approach: | They propose a task of environmental claim detection to detect environmental claims at scale . they use an expert-annotated dataset and models trained on this dataset to do this . |
| Outcome: | The proposed task detects environmental claims in quarterly earning calls . the number of environmental claims has steadily increased since the Paris Agreement in 2015 . |
Towards Climate Awareness in NLP Research (2022.emnlp-main)
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| Challenge: | Increasing focus on efficient AI and NLP research lacks systematic climate reporting guidelines . a proposed model card would be practical with limited information about experiments and the underlying computer hardware. |
| Approach: | They propose a model card that is practically usable with limited information about experiments and the underlying computer hardware. |
| Outcome: | The proposed model card would be usable with limited information about experiments and the underlying computer hardware. |