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

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)841-849
Number of pages9
JournalProcedia Computer Science
Volume60
Issue number1
DOIs
Publication statusPublished - 2015
Event19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015 - , Singapore
Duration: 2015 Sep 72015 Sep 9

Keywords

  • Chatterbot
  • Clustering
  • Natural language processing
  • Particles
  • Topic maps

ASJC Scopus subject areas

  • Computer Science(all)

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