Papers by Nicolas Webersinke
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. |
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. |