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

Masaomi Kimura

doi:10.1016/j.procs.2015.08.247

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

Masaomi Kimura

Research output: Contribution to journal › Conference article › peer-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 language	English
Pages (from-to)	841-849
Number of pages	9
Journal	Procedia Computer Science
Volume	60
Issue number	1
DOIs	https://doi.org/10.1016/j.procs.2015.08.247
Publication status	Published - 2015
Event	19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015 - , Singapore Duration: 2015 Sept 7 → 2015 Sept 9

Keywords

Chatterbot
Clustering
Natural language processing
Particles
Topic maps

ASJC Scopus subject areas

Computer Science(all)

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10.1016/j.procs.2015.08.247

Cite this

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title = "A proposal of topic map based Chatterbot for non-English natural language input",

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.",

keywords = "Chatterbot, Clustering, Natural language processing, Particles, Topic maps",

author = "Masaomi Kimura",

note = "Publisher Copyright: {\textcopyright} 2015 The Authors. Published by Elsevier B.V. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015 ; Conference date: 07-09-2015 Through 09-09-2015",

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AB - 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.

KW - Chatterbot

KW - Clustering

KW - Natural language processing

KW - Particles

KW - Topic maps

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SN - 1877-0509

VL - 60

SP - 841

EP - 849

JO - Procedia Computer Science

JF - Procedia Computer Science

IS - 1

T2 - 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015

Y2 - 7 September 2015 through 9 September 2015

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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