Nicolas Webersinke

2023

• Stammbach D., Webersinke N., Bingler JA., Kraus M., Leippold M.:
  Environmental Claim Detection
  61st Annual Meeting of the Association for Computational Linguistics (Toronto, 9. Juli 2023 - 14. Juli 2023)
  In: Association for Computational Linguistics (Hrsg.): Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) 2023
  Open Access: https://aclanthology.org/2023.acl-short.91
  URL: https://aclanthology.org/2023.acl-short.91
  BibTeX: Download
• Vaghefi SA., Stammbach D., Muccione V., Bingler J., Ni J., Kraus M., Allen S., Colesanti-Senni C., Wekhof T., Schimanski T., Gostlow G., Yu T., Wang Q., Webersinke N., Huggel C., Leippold M.:
  ChatClimate: Grounding conversational AI in climate science
  In: Communications Earth & Environment 4 (2023), Art.Nr.: 480
  ISSN: 2662-4435
  DOI: 10.1038/s43247-023-01084-x
  BibTeX: Download

2022

• Bingler JA., Kraus M., Leippold M., Webersinke N.:
  Cheap Talk and Cherry-Picking: What ClimateBert has to say on Corporate Climate Risk Disclosures
  In: Finance Research Letters 47 (2022), S. 102776
  ISSN: 1544-6123
  DOI: 10.1016/j.frl.2022.102776
  BibTeX: Download
• Hershcovich D., Webersinke N., Kraus M., Bingler JA., Leippold M.:
  Towards Climate Awareness in NLP Research
  EMNLP 2022: The 2022 Conference on Empirical Methods in Natural Language Processing (Abu Dhabi, 7. Dezember 2022 - 11. Dezember 2022)
  In: Association for Computational Linguistics (Hrsg.): Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing 2022
  Open Access: https://aclanthology.org/2022.emnlp-main.159
  URL: https://aclanthology.org/2022.emnlp-main.159
  BibTeX: Download
• Webersinke N., Kraus M., Bingler JA., Leippold M.:
  ClimateBert: A Pretrained Language Model for Climate-Related Text
  AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges (Arlington, VA, 17. November 2022 - 19. November 2022)
  In: Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges 2022
  DOI: 10.2139/ssrn.4229146
  URL: https://www.climatechange.ai/papers/aaaifss2022/12
  BibTeX: Download