Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering

Md Rashad Al Hasan Rony, Ying Zuo, Liubov Kovriguina, Roman Teucher, Jens Lehmann

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

AI for Good - Demos. Pages 5249-5252.

https://doi.org/10.24963/ijcai.2022/729

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Abstract

Climate change has a severe impact on the overall ecosystem of the whole world, including humankind. This demo paper presents Climate Bot - a machine reading comprehension system for question answering over documents about climate change. The proposed Climate Bot provides an interface for users to ask questions in natural language and get answers from reliable data sources. The purpose of the climate bot is to spread awareness about climate change and help individuals and communities to learn about the impact and challenges of climate change. Additionally, we open-sourced an annotated climate change dataset CCMRC to promote further research on the topic. This paper describes the dataset collection, annotation, system design, and evaluation.

Keywords

  • Natural Language Processing: Question Answering
  • Natural Language Processing: Applications
  • Natural Language Processing: Dialogue and Interactive Systems
  • Natural Language Processing: Information Extraction
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