single-jc.php

JACIII Vol.10 No.6 pp. 811-820
doi: 10.20965/jaciii.2006.p0811
(2006)

Paper:

Smart Help for Novice Users Based on Application Software Manuals

Shino Iwashita*, Noriko Ito**, Ichiro Kobayashi***,
Toru Sugimoto****, and Michio Sugeno**

*Kyushu University, 4-9-1 Shiobaru, Minami-ku, Fukuoka 815-8540, Japan

**Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan

***Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, Tokyo 112-8610, Japan

****RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan

Received:
December 1, 2005
Accepted:
March 21, 2006
Published:
November 20, 2006
Keywords:
smart help, application software manual, linguistic feature, rhetorical structure, paraphrasing
Abstract

The smart help we propose based on application software manuals features four phases: (1) understanding the user’s input text, which is a question about software operation; (2) matching the result of understanding with software manual text; (3) planning a dialog with the user; and (4) paraphrasing matching manual text to output for the user. Manual text found during matching is paraphrased using the analysis result found during understanding. In planning, the rhetorical structure of the selected manual is used to determine which clauses in matching manual text are specifically relevant to the user’s question. Four paraphrases for a novice user are identified in a subject experiment, and rules for these are applied based on linguistic features extracted during the understanding. We evaluated an implemented prototype, and discuss its applications and problems.

Cite this article as:
Shino Iwashita, Noriko Ito, Ichiro Kobayashi,
Toru Sugimoto, and Michio Sugeno, “Smart Help for Novice Users Based on Application Software Manuals,” J. Adv. Comput. Intell. Intell. Inform., Vol.10, No.6, pp. 811-820, 2006.
Data files:
References
  1. [1] D. N. Chin, “User Modeling in UC, the UNIX Consultant,” Proc. on Human Factors in Computing Systems, pp. 24-28, 1986.
  2. [2] K. Hammond, R. Burke, C. Martin, and S. Lytinen, “FAQ Finder: A Case-Based Approach to Knowledge Navigation,” Proc. of the 11th Conference on Artificial Intelligence for Applications, pp. 69-73, 1995.
  3. [3] NIST and DARPA, The Ninth Text Retrieval Conference (TREC-9), NIST Special Publication, 2001.
  4. [4] S. Harabagiu, D. Moldovan, M. Pasca, R. Mihalcea, M. Surdeanu, R. Bunescu, R. Girju, V. Rus, and P. Morarescu, “The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering,” Proc. of the Association for Computational Linguistics, pp. 274-281, 2001.
  5. [5] Y. Kiyota, S. Kurohashi, and F. Kido, “Dialog Navigator: A Question Answering System Based on Large Text Knowledge Base,” Proceedings of the 19th International Conference on Computational Linguistics (COLING 2002), pp. 460-466, 2002.
  6. [6] N. Ito, T. Sugimoto, and M. Sugeno, “A Systemic-Functional Approach to Japanese Text Understanding,” Proc. of the 5th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing2004), pp. 26-37, 2004.
  7. [7] M. A. K. Halliday and C. M. I. M. Matthiessen, “An Introduction to Functional Grammar (3rd ed.),” London: Arnold, 2004.
  8. [8] N. Ito, T. Sugimoto, S. Iwashita, I. Kobayashi, and M. Sugeno, “A Model of Rhetorical Structure Analysis of Japanese Instructional Texts and its Application to a Smart Help System,” Proc. of International Conference on Systems, Man and Cybernetics 2004 (SMC 2004), pp. 3635-3640, 2004.
  9. [9] S. Iwashita, N. Ito, I. Kobayashi, T. Sugimoto, and M. Sugeno, “Everyday Language Help System Based on Software Manual,” Proc. of International Conference on Systems, Man and Cybernetics 2004 (SMC 2004), pp. 3635-3640, 2004.
  10. [10] Y. Matsumoto, A. Kitauchi, T. Yamashita, Y. Hirano, H. Matsuda, K. Takaoka, and M. Asahara, “Japanese Morphological Analysis System ChaSen version 2.2.1,”
    from http://chasen.naist.jp/hiki/ChaSen/
  11. [11] T. Kudo and Y. Matsumoto, “Japanese Dependency Analysis using Cascaded Chunking,” Proc. of the 6th Conference on Natural Language Learning, pp. 63-69, 2002.
  12. [12] Japan Electronic Dictionary Research Institute Ltd., EDR Dictionary, ver. 3, Tokyo, Japan, 2003.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Jul. 30, 2021