Abstract
In this short paper, we report a progressing work on a hybrid deep neural system for answering open-domain factoid and non-factoid questions. This system supplements knowledge graph based Question Answering with free-texts searching techniques to address the sparsity issues in knowledge graphs.
We justify the efficiency of the proposed system based on the results of a pilot experiment. We also describe the settings of an on-going project in the context of this system.