A Proposal for Common Dataset in Neural-Symbolic Reasoning Studies

Özgür Yilmaz, Artur S. d'Avila Garcez, Daniel L. Silver
2016 International Workshop on Neural-Symbolic Learning and Reasoning  
We promote and analyze the needs of a common publicly available benchmark dataset to be used for neural-symbolic studies of learning and reasoning. The recently released Visual Genome repository is proposed as a suitable dataset to meet these needs. Along with the original tasks that were suggested by the Visual Genome creators, we propose neural-symbolic tasks that can be used as challenges to promote research in the field and competition between lab groups.
dblp:conf/nesy/YilmazGS16 fatcat:qf3grff5nbbjdbszeihh5ugghy