In this context, embedding models (Wang et al., 2014;Lin et al., 2015;Jenatton et al., 2012;Socher et al., 2013) that attempt to learn lowdimensional vector or matrix representations of entities and relationships have shown promising performance in recent years.
the basic model TRANSE (Bordes et al., 2013) has been proved to be very powerful.