Such knowledge can be commonsense knowledge or factual background knowledge about entities and events that is not explicitly expressed but can be found in a knowledge base such as ConceptNet (Speer et al., 2016), Freebase (Pellissier Tanon et al., 2016) and domain-specific KBs collected by information extraction (Fader et al., 2011;Mausam et al., 2012).
we aim to design a neural model that encodes pre-selected knowledge relevant to given questions, and that learns to include the available knowledge as an enrichment to given textual information.