Long papers
Unpublished, original work submitted in ACL format, up to 8 pages, to be published in workshop proceedings if submitted as archival.
NLP/CORE Unranked
ClimateNLP 2026
The 3rd Workshop of Natural Language Processing meets Climate Change
ClimateNLP 2026 is a workshop co-located with EMNLP 2026 that brings together researchers, practitioners, policymakers, and stakeholders from academia, industry, and NGOs to explore how Natural Language Processing can address climate change. The workshop focuses on applying NLP techniques to analyze climate-related text, support mitigation and adaptation efforts, and foster interdisciplinary collaboration, with an emphasis on underdeveloped applications in this domain.
Key deadlines
Verified September 9, 2026Full paper
July 17, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
July 17, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Unpublished, original work submitted in ACL format, up to 4 pages, to be published in workshop proceedings if submitted as archival.
Research areas in scope
01
Topics of Interest
Detection and analysis of Environmental ClaimsQA-systems for Climate Change related InformationLong Document Analysis of relevant documentsStance DetectionClimate change denial classificationNarratives around Climate ChangeAutomated Fact Checking of climate change related claimsNamed entity mapping to asset-level data for spatial financeCreation of benchmark datasets for climate and NLPEvidence mapping of climate documents: scholarly, corporate, or policyAutomated knowledge graph creation for climate policy textsAnalysis of climate-related corporate disclosures with NLP
02
Broad Topics
Using machine translation for translating policies or information related to climate to underrepresented languagesThe analysis of sentiment and specificity of corporate or sovereign activities related to climate changeKnowledge integration in assets localization modelsStudies which involve NLP and climate risk, spatial finance or sustainable financeIdentification of greenwashing indicators identified through NLP methodsAutomated assessment of physical or financial damage due to natural calamities using, e.g., news data or government sources
Policies worth checking twice
- Submissions must follow ACL formatting guidelines.
- Submissions must be anonymized for double-blind peer review.
- Submissions must be original and unpublished.
- Camera-ready versions must not be anonymized and must pass the ACL format checker.
- Accepted papers submitted as archival will be published in the workshop proceedings.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official workshop sitePROGRAMCall for PapersSubmission Guidehttps://nlp4climate.github.io/submissionguide/
Last verified September 9, 2026