Host: The Japanese Society for Artificial Intelligence
Name : The 32nd Annual Conference of the Japanese Society for Artificial Intelligence, 2018
Number : 32
Location : [in Japanese]
Date : June 05, 2018 - June 08, 2018
We propose a method to create metaphors using corpus and thesaurus. Our system can create metaphors based on input tenors and grounds. We use word2vec to obtain word vectors for tenors and grounds, which are used to select vehicles considering cosine similarity. In order to output various vehicles that are congenial to the ground, we create a grounds-by-categories matrix using thesaurus. We evaluate appropriateness and usefulness of vehicles that are created by our system. As the result, it is shown that our system can output metaphors that are useful for user, though many of the metaphors created by the system are inappropriate. We compared vehicles created using Aozora Bunko corpus and NWJC. As the result, it is shown that our system can output vehicles that are congenial to user's literary style by using appropriate corpus.