Generating Information-Rich Taxonomy Using Wikipedia

Abstract

Hyponymy relation acquisition has been extensively studied. However, the informa-tiveness of acquired hypernyms has not been sufficiently discussed. We found that the hypernyms in automatically acquired hyponymy relations are often too vague for their hyponyms. For instance, "work" is a vague hypernym for "work→Seven Samurai" and "work→1Q84". These vague hypernyms sometimes cause the lower accuracy for NLP applications such as information retrieval or question answering. In this paper, we propose a method of making (vague) hypernyms more specific ex