mlsanityData to 14 Oct 2026

Environmental Claim Detection

arXiv 2209.00507 ↗First posted 1 Sep 2022cs.CLcited by 11

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Abstract (arXiv)

To transition to a green economy, environmental claims made by companies must be reliable, comparable, and verifiable. To analyze such claims at scale, automated methods are needed to detect them in the first place. However, there exist no datasets or models for this. Thus, this paper introduces the task of environmental claim detection. To accompany the task, we release an expert-annotated dataset and models trained on this dataset. We preview one potential application of such models: We detect environmental claims made in quarterly earning calls and find that the number of environmental claims has steadily increased since the Paris Agreement in 2015.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 14 of its 38 references that are in the map. First posted on arXiv 1 Sep 2022.

Builds on

14 of 38 references.

References · 14

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  4. 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,307
  5. 2020CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claimscited by 196
  6. 2021ClimateBert: A Pretrained Language Model for Climate-Related Textcited by 90
  7. 2020Detecting Stance in Media on Global Warmingcited by 48
  8. 2020Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Mediacited by 46
  9. 2018Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthinesscited by 41
  10. 2020A Benchmark Dataset of Check-worthy Factual Claimscited by 27
  11. 2020ClimaText: A Dataset for Climate Change Topic Detectioncited by 22
  12. 2022Towards Climate Awareness in NLP Researchcited by 19
2 more
  1. 2021Automated Identification of Climate Risk Disclosures in Annual Corporate Reportscited by 5
  2. 2019Deep Ordinal Regression for Pledge Specificity Predictioncited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 3; 2024: 1; 2025: 4; 2026: 3.

11 papers.

  1. 2023chatClimate: Grounding Conversational AI in Climate Sciencecited by 32
  2. 2023CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Toolscited by 29
  3. 2025Large Language Models in Argument Mining: A Surveycited by 14
  4. 2024Explainable Natural Language Processing for Corporate Sustainability Analysiscited by 9
  5. 2023Climate Change from Large Language Modelscited by 6
  6. 2025ClimateChat: Designing Data and Methods for Instruction Tuning LLMs to Answer Climate Change Queriescited by 3
  7. 2025Judging It, Washing It: Scoring and Greenwashing Corporate Climate Disclosures using Large Language Modelscited by 1
  8. 2025FITS: Towards an AI-Driven Fashion Information Tool for Sustainabilitycited by 0
  9. 2026ClaimPT: A Portuguese Dataset of Annotated Claims in News Articlescited by 0
  10. 2026What Transfers Under Source Shift? Definitions, Examples, and Fine-Tuning for Climate Disclosure Classificationcited by 0
  11. 2026Automated Detection and Structuring of Social Tipping Point Evidence in Climate related Documents: A Modular AI Frameworkcited by 0