In this paper, we propose a Chatterbot that returns an answer relevant to a question submitted by a user. We focus on non-English language, whose structure is more flexible. This requires a new framework to analyze the question. Our method divides the question sentence into triples, each of which is a combination of a noun, a particle, and a predicate. Expecting intelligent response to the question, we introduced the topic map which associates the units to suitable answers. In order to absorb the variant of particle usage, we applied cluster analysis to questions in Yahoo! Answers to group particles.
|ジャーナル||Procedia Computer Science|
|出版ステータス||Published - 2015|
|イベント||19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015 - , Singapore|
継続期間: 2015 9 7 → 2015 9 9
ASJC Scopus subject areas
- コンピュータ サイエンス（全般）