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

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルProcedia Computer Science
出版者Elsevier
ページ841-849
ページ数9
60
エディション1
DOI
出版物ステータス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

Other

Other19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015
Singapore
期間15/9/715/9/9

ASJC Scopus subject areas

  • Computer Science(all)

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