This paper demonstrates a web-based online system, called META-DARE1. META-DARE is built to assist researchers to obtain insights into seed-based minimally supervised machine learning for relation extraction. META-DARE allows researchers and students to conduct experiments with an existing machine learning system called DARE (Xu et al., 2007). Users can run their own learning experiments by con...