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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Title of host publicationProcedia Computer Science
PublisherElsevier
Pages841-849
Number of pages9
Volume60
Edition1
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

Other

Other19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015
CountrySingapore
Period15/9/715/9/9

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Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)

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