Call for Papers


This workshop is dedicated to explore the intersection of Natural Language Processing (NLP) and climate change. The workshop’s aim is to discuss how NLP methods can be incorporated in climate change science and climate change action.

The importance of addressing climate change has been fully adopted by the scientific community. Climate change is reflected to global, national, and local political discussions, corporate reporting and all sectors of society. Although there is a vast amount of textual data and challenges around climate change, there is only limited amounts of work addressing these with NLP methods. Therefore, this workshop’s objective is to fill this gap and to provide a platform for researchers and practitioners (as well as policymakers and other stakeholders) keen on contributing to the intersection of NLP and climate change.

The workshop aims to shed light on these unique challenges and opportunities for applying NLP techniques to combat climate change. We believe NLP has the potential to support faster and scaleable climate mitigation and adaptation action considerably, and ClimateNLP provides a platform to foster discussions about NLP applications in this domain.

More Info

For more information, please refer to the workshop website:

Submission Site

We invite long and short papers from Academia, Industry, NGOs and other stakeholders. See the submission guide for more information!

Topics of Interest

We highlight some topics we think might be of interest. However, this is not meant to be an exhaustive list, and we welcome submissions covering other topics as well! A more detailed list and references can be found on the workshop website.

  • Detection and analysis of Environmental Claims
  • QA-systems for Climate Change related Information
  • Long Document Analysis of relevant documents
  • Stance Detection
  • Climate change denial classification
  • Narratives around Climate Change
  • Automated Fact Checking of climate change related claims
  • Named entity mapping to asset-level data for spatial finance
  • Creation of benchmark datasets for climate and NLP
  • Evidence mapping of climate documents: scholarly, corporate, or policy
  • Automated knowledge graph creation for climate policy texts
  • Analysis of climate-related corporate disclosures with NLP

Please contact the organizers if you have any questions, or if you’re interested in presenting accepted ACL 2024 findings papers in our workshop!