A proposal of topic map based Chatterbot for non-English natural language input

研究成果: Conference article査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)841-849
ページ数9
ジャーナルProcedia Computer Science
60
1
DOI
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 72015 9 9

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)

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