We compare the proposed RELSUB model with two methods: (i) CBOW<cite> (Mikolov et al., 2013a)</cite> , and (ii) RELCONST which is based on constant translation model for relations which was originally proposed in (Bordes et al., 2013) for embedding knowledge-bases and was recently used by Table 2 : Google analogy data: Accuracy on word analogy task (Xu et al., 2014) for learning word embeddings.