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Artificial Life and Robotics

, Volume 17, Issue 3–4, pp 412–416 | Cite as

Automatic generation of tourism quiz using blogs

  • Jun Zeng
  • Toshihiko Sakai
  • Chengjiu Yin
  • Takahiko Suzuki
  • Sachio Hirokawa
Original Article

Abstract

The one-way information communication provision does not impress listeners well. As an efficient way, Question & Answer can not only help listeners to comprehend the content of information but also help information providers understand the response of listeners. However, it is not easy for everyone to create suitable questions. In this paper, we propose an automatic quiz generation system using tourism blogs. The system can generate quizzes by extracting feature words of the topic keyword from blogs. Our purpose is to help tourism information providers to advertise their tourism events in an interactive way, in order to impress tourists. When compared with other methods of quiz generation, we demonstrate that our method is more suitable for information communication provision.

Keywords

Quiz generation Tourism blog Feature word Information provision 

References

  1. 1.
    Zeng J, Hirokawa S (2011) Component search engine using tree-view interface for tourist blogs. In: 3rd International Conference on Awareness Science and Technology. Dalian, China, pp 327–331Google Scholar
  2. 2.
    Wu X, Hirokawa S,Yin C, Nakatoh T, Tabata Y (2011) Extraction and comparison of tourism information on the web. In: Proceedings of the 16th International Symposium on Artificial Life and Robotics(AROB). Beppu, Oita, Japan, pp 170–173Google Scholar
  3. 3.
    Tonoike M, Sato S, Utsuro T (2004) Answer validation by keyword association (in Japanese). ISPJ SIG Notes 2004(47):53–60Google Scholar
  4. 4.
    Tsumori S, Kaijiri K (2009) A proposal for the automatic generation of multiple-choice problems adapted to students’ understanding. Jpn Soc Inf Systems Education 2009:26Google Scholar
  5. 5.
    Mitkov R, Ha LA, Karamanis N (2006) A computer-aided environment for generating multiple-choice test items. Nat Lang Eng 12(2):177–194CrossRefGoogle Scholar
  6. 6.
    Hoshino A, Nakagawa H (2005) A real-time multiple-choice question generation for language testing: a preliminary study. In: Proceedings of the second workshop on building educational applications using NLP. pp 17–20Google Scholar
  7. 7.
  8. 8.
  9. 9.
    Salton G (1971) The SMART retrieval system—experiments in automatic document processing. Prentice-Hall Inc., New YorkGoogle Scholar

Copyright information

© ISAROB 2012

Authors and Affiliations

  • Jun Zeng
    • 1
  • Toshihiko Sakai
    • 1
  • Chengjiu Yin
    • 2
  • Takahiko Suzuki
    • 2
  • Sachio Hirokawa
    • 2
  1. 1.Graduate School of Information Science and Electrical EngineeringKyushu UniversityFukuokaJapan
  2. 2.Research Institute for Information TechnologyKyushu UniversityFukuokaJapan

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