These results indicate that the proposed CBOW-SEP-CTX model jointly learns two different types of lexical similar-ities, i.e., the stylistic and syntactic/semantic similarities in the different parts of the vectors.
our stylistic vector also captured the topic similarity, such as "サンタ (Santa Clause)" and "トナカイ (reindeer)" (the fourth row of Table 2).