research-article

Automatic generation of Japanese traditional funny scenario from web content based on web intelligence

Authors:

Tomohiro Umetani,

Tatsuya Kitamura,

Akiyo NadamotoAuthors Info & Claims

iiWAS '15: Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services

Article No.: 21, Pages 1 - 9

https://doi.org/10.1145/2837185.2837232

Published: 11 December 2015 Publication History

Abstract

Today there is much information and knowledge on the internet, and many studies have examined the extraction of many kinds of knowledge from the internet. In addition, numerous studies have examined entertainment robots that communicate with people, but it is difficult for robots to communicate smoothly with people. We specifically examine communication between robots based on dialogue. Here, we create a dialogue-based scenario for the robots to undertake automatically, but it is difficult because the dialogue requires knowledge of many kinds. We consider the use of the knowledge from the web and create scenarios automatically. As described herein, we propose a system that generates dialogue scenarios automatically from web news articles in real time. We used the Manzai metaphor, which is Japanese traditional humorous comedy in our system. Our generated Manzai scenario consists of snappy patter and a misunderstanding dialogue based on the gap of our structure of funny points. We create communication robots to amuse people with our generated humorous robot dialogue scenarios.

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Cited By

Yoshikawa TIwakura R(2020)Study on Development of Humor Discriminator for Dialogue SystemJournal of Advanced Computational Intelligence and Intelligent Informatics10.20965/jaciii.2020.p042224:3(422-435)Online publication date: 20-May-2020
https://doi.org/10.20965/jaciii.2020.p0422
Haraguchi KYane KSato AAramaki EMiyashiro INadamoto A(2020)Chat-type Manzai applicationProceedings of the 18th International Conference on Advances in Mobile Computing & Multimedia10.1145/3428690.3429170(143-152)Online publication date: 30-Nov-2020
https://dl.acm.org/doi/10.1145/3428690.3429170
Haraguchi KAoki SUmetani TKitamura TNadamoto A(2019)Omotenashi Robots: Generating Funny Dialog Using Visitor Geographical InformationAdvances in Networked-based Information Systems10.1007/978-3-030-29029-0_66(669-679)Online publication date: 15-Aug-2019
https://doi.org/10.1007/978-3-030-29029-0_66
Show More Cited By

Index Terms

Automatic generation of Japanese traditional funny scenario from web content based on web intelligence
1. Applied computing
  1. Document management and text processing
2. Information systems
  1. Information systems applications

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cover image ACM Other conferences

iiWAS '15: Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services

December 2015

704 pages

ISBN:9781450334914

DOI:10.1145/2837185

General Chair:
Gabriele Anderst-Kotsis
Johannes Kepler University Linz, Austria
,
Program Chair:
Maria Indrawan-Santiago
Monash University, Australia

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 December 2015

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Japan Society for the Promotion of Science

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iiWAS '15

iiWAS '15: The 17th International Conference on Information Integration and Web-based Application & Services

December 11 - 13, 2015

Brussels, Belgium

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Cited By

Yoshikawa TIwakura R(2020)Study on Development of Humor Discriminator for Dialogue SystemJournal of Advanced Computational Intelligence and Intelligent Informatics10.20965/jaciii.2020.p042224:3(422-435)Online publication date: 20-May-2020
https://doi.org/10.20965/jaciii.2020.p0422
Haraguchi KYane KSato AAramaki EMiyashiro INadamoto A(2020)Chat-type Manzai applicationProceedings of the 18th International Conference on Advances in Mobile Computing & Multimedia10.1145/3428690.3429170(143-152)Online publication date: 30-Nov-2020
https://dl.acm.org/doi/10.1145/3428690.3429170
Haraguchi KAoki SUmetani TKitamura TNadamoto A(2019)Omotenashi Robots: Generating Funny Dialog Using Visitor Geographical InformationAdvances in Networked-based Information Systems10.1007/978-3-030-29029-0_66(669-679)Online publication date: 15-Aug-2019
https://doi.org/10.1007/978-3-030-29029-0_66
Aoki SUmetani TKitamura TNadamoto A(2017)Generating Manzai-Scenario Using Entity MistakeAdvances in Network-Based Information Systems10.1007/978-3-319-65521-5_92(1007-1017)Online publication date: 24-Aug-2017
https://doi.org/10.1007/978-3-319-65521-5_92
Mashimo RKitamura TUmetani TNadamoto A(2016)Implicit communication robots based on automatic scenario generation using web intelligenceInternational Journal of Web Information Systems10.1108/IJWIS-04-2016-001712:3(312-335)Online publication date: 15-Aug-2016
https://doi.org/10.1108/IJWIS-04-2016-0017

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