IJCAI.2022 - Demos

| Total: 2

#1 Argo: Towards Small Vessel Detection for Humanitarian Purposes [PDF] [Copy] [Kimi] [REL]

Authors: Elisabeth Moser ; Selina Meyer ; Maximilian Schmidhuber ; Daniel Ketterer ; Matthias Eberhardt

Refugees trying to get to Europe via the Mediterranean often face human rights violations. The present situation is not in line with the UN's SDG's 10 and 16. We present Argo: a semi-automatically created vessel classification dataset focused on small boats, with the aim to enable NGOs and the public to detect refugee boats in satellite imagery. We achieve a classification recall of 91% on small ships. With a tool developed on top of the results presented here, NGOs could collect information and hold institutions participating in illegal activities accountable.

#2 Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering [PDF] [Copy] [Kimi] [REL]

Authors: Md Rashad Al Hasan Rony ; Ying Zuo ; Liubov Kovriguina ; Roman Teucher ; Jens Lehmann

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.