Long papers
Unpublished, original work following ACL formatting guidelines, up to 8 pages, to be published in workshop proceedings if submitted as archival.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 at EMNLP 2026 focused on the intersection of Natural Language Processing and climate change, aiming to foster collaboration between NLP researchers, climate scientists, NGOs, and policymakers. It seeks to advance the application of NLP techniques for climate mitigation and adaptation by addressing challenges in analyzing climate-related text data and promoting interdisciplinary research.
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Unpublished, original work following ACL formatting guidelines, up to 4 pages, to be published in workshop proceedings if submitted as archival.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 NLPUsing machine translation for translating policies or any information related to climate to underrepresented languages to inform local communities betterThe 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 sourcesPosition and overview papersNew datasetsNew methods on existing training and benchmarking datasetsClimate-aware NLP and energy-efficient models
Policies worth checking twice
- Submissions must be anonymized for double-blind peer review.
- Papers must follow ACL formatting guidelines.
- 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