Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics

Interrogative Sentence Generation and Dialogue Management in Intelligent Tutoring System

Authors
Zhixiang Zhang, Xiongwei Shang
Corresponding Author
Zhixiang Zhang
Available Online April 2015.
DOI
10.2991/ameii-15.2015.11How to use a DOI?
Keywords
Tutoring System; Dialogue management; Natural language generation
Abstract

Intelligent tutoring is a hot field in the study of information-based teaching. This paper proposed a series of methods for building ITS in training of operational regulation domain. To make the dialog between system and users more intelligent, a frame-based knowledge representation is proposed, and a template-based generation method for interrogative sentences are used. An algorithm to assess the correctness of the user’s answer and to find the error point if not correct is also proposed. The proposed methods make it convenient to build a ITS with high intelligence and high efficience.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
10.2991/ameii-15.2015.11
ISSN
2352-5401
DOI
10.2991/ameii-15.2015.11How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhixiang Zhang
AU  - Xiongwei Shang
PY  - 2015/04
DA  - 2015/04
TI  - Interrogative Sentence Generation and Dialogue Management in Intelligent Tutoring System
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 69
EP  - 74
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.11
DO  - 10.2991/ameii-15.2015.11
ID  - Zhang2015/04
ER  -