Inspired by recent studies on learning distributed representations of multi-relational data from knowledge graph (Socher et al., 2013), we use a neural tensor network framework for knowledge graph embedding.
the main performance gain results from better similarity between semantically related but lexically different events, thanks to the integration of knowledge.