Vector Similarity of Related Words and Synonyms in the Japanese WordNet
Takahiko Suzuki, Takuya Hirao, Nao Wariishi, Sachio Hirokawa · Information Engineering Express · 2015
Word2vec is a tool that produces vector representations of words from a large amount of text data.In this study, we show that only a part of the vector space produced by word2vec is sufficient to represent the collective sense of a set of related words in Japanese WordNet.Furthermore, we show that there is a subspace of the vector space that does not relate to the collective sense of related words and synonyms.We construct a compact decision tree by using the vectors to distinguish whether a given word belongs to the set of related words.