They used several kinds of features for the hyponymy relation candidate, such as a POS tag for each word, the appearance of morphemes of each word, the distance between two words in the hierarchical structures of Wikipedia, and the last character of each word.
of their experiments, approximately 2.4 million hyponymy relations in Japanese were extracted, with a precision rate of 90.1%.