A parse tree based computation technique for generating comprehension style questions from Chinese text

Andrew Kwok-Fai Lui; Sin Chun Ng; Yin Chun Fung

doi:10.1007/978-3-662-46158-7_7

A parse tree based computation technique for generating comprehension style questions from Chinese text

Andrew Kwok-Fai Lui, Sin Chun Ng, Yin Chun Fung

Hong Kong Metropolitan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper describes our research and development work on a computational method that takes a piece of Chinese unstructured text and generates a set of questions and answers as the output. Our method is largely based on Heilman & Smith's over-generation approach [1] and is included with techniques specific for handling Chinese text. Using the syntactic and semantic features identified in a sentence, various question types can be generated with answers also available. Automatic question generation is potentially a key component in future intelligent e-learning systems, but it is also a very challenging problem. A major objective of this work is to investigate technical issues and limitations that would provide direction of future research.

Original language	English
Title of host publication	Technology in Education
Subtitle of host publication	Transforming Educational Practices with Technology - 1st International Conference, ICTE 2014, Revised Selected Papers
Editors	Kam Cheong Li, Simon K.S. Cheung, Tak-Lam Wong, Jeanne Lam, Kwan Keung Ng
Pages	61-73
Number of pages	13
ISBN (Electronic)	9783662461570
DOIs	https://doi.org/10.1007/978-3-662-46158-7_7
Publication status	Published - 2015
Event	1st International Conference on Technology in Education, ICTE 2014 - Hong Kong, China Duration: 2 Jul 2014 → 4 Jul 2014

Publication series

Name	Communications in Computer and Information Science
Volume	494
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	1st International Conference on Technology in Education, ICTE 2014
Country/Territory	China
City	Hong Kong
Period	2/07/14 → 4/07/14

Keywords

Online learning
Question generation
Question taxonomy

Access to Document

10.1007/978-3-662-46158-7_7

Cite this

Kwok-Fai Lui, A., Ng, S. C., & Fung, Y. C. (2015). A parse tree based computation technique for generating comprehension style questions from Chinese text. In K. C. Li, S. K. S. Cheung, T.-L. Wong, J. Lam, & K. Keung Ng (Eds.), Technology in Education: Transforming Educational Practices with Technology - 1st International Conference, ICTE 2014, Revised Selected Papers (pp. 61-73). (Communications in Computer and Information Science; Vol. 494). https://doi.org/10.1007/978-3-662-46158-7_7

Kwok-Fai Lui, Andrew ; Ng, Sin Chun ; Fung, Yin Chun. / A parse tree based computation technique for generating comprehension style questions from Chinese text. Technology in Education: Transforming Educational Practices with Technology - 1st International Conference, ICTE 2014, Revised Selected Papers. editor / Kam Cheong Li ; Simon K.S. Cheung ; Tak-Lam Wong ; Jeanne Lam ; Kwan Keung Ng. 2015. pp. 61-73 (Communications in Computer and Information Science).

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title = "A parse tree based computation technique for generating comprehension style questions from Chinese text",

abstract = "This paper describes our research and development work on a computational method that takes a piece of Chinese unstructured text and generates a set of questions and answers as the output. Our method is largely based on Heilman & Smith's over-generation approach [1] and is included with techniques specific for handling Chinese text. Using the syntactic and semantic features identified in a sentence, various question types can be generated with answers also available. Automatic question generation is potentially a key component in future intelligent e-learning systems, but it is also a very challenging problem. A major objective of this work is to investigate technical issues and limitations that would provide direction of future research.",

keywords = "Online learning, Question generation, Question taxonomy",

author = "{Kwok-Fai Lui}, Andrew and Ng, {Sin Chun} and Fung, {Yin Chun}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; 1st International Conference on Technology in Education, ICTE 2014 ; Conference date: 02-07-2014 Through 04-07-2014",

year = "2015",

doi = "10.1007/978-3-662-46158-7_7",

language = "English",

series = "Communications in Computer and Information Science",

pages = "61--73",

editor = "Li, {Kam Cheong} and Cheung, {Simon K.S.} and Tak-Lam Wong and Jeanne Lam and {Keung Ng}, Kwan",

booktitle = "Technology in Education",

}

Kwok-Fai Lui, A, Ng, SC & Fung, YC 2015, A parse tree based computation technique for generating comprehension style questions from Chinese text. in KC Li, SKS Cheung, T-L Wong, J Lam & K Keung Ng (eds), Technology in Education: Transforming Educational Practices with Technology - 1st International Conference, ICTE 2014, Revised Selected Papers. Communications in Computer and Information Science, vol. 494, pp. 61-73, 1st International Conference on Technology in Education, ICTE 2014, Hong Kong, China, 2/07/14. https://doi.org/10.1007/978-3-662-46158-7_7

A parse tree based computation technique for generating comprehension style questions from Chinese text. / Kwok-Fai Lui, Andrew; Ng, Sin Chun; Fung, Yin Chun.
Technology in Education: Transforming Educational Practices with Technology - 1st International Conference, ICTE 2014, Revised Selected Papers. ed. / Kam Cheong Li; Simon K.S. Cheung; Tak-Lam Wong; Jeanne Lam; Kwan Keung Ng. 2015. p. 61-73 (Communications in Computer and Information Science; Vol. 494).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A parse tree based computation technique for generating comprehension style questions from Chinese text

AU - Kwok-Fai Lui, Andrew

AU - Ng, Sin Chun

AU - Fung, Yin Chun

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2015.

PY - 2015

Y1 - 2015

N2 - This paper describes our research and development work on a computational method that takes a piece of Chinese unstructured text and generates a set of questions and answers as the output. Our method is largely based on Heilman & Smith's over-generation approach [1] and is included with techniques specific for handling Chinese text. Using the syntactic and semantic features identified in a sentence, various question types can be generated with answers also available. Automatic question generation is potentially a key component in future intelligent e-learning systems, but it is also a very challenging problem. A major objective of this work is to investigate technical issues and limitations that would provide direction of future research.

AB - This paper describes our research and development work on a computational method that takes a piece of Chinese unstructured text and generates a set of questions and answers as the output. Our method is largely based on Heilman & Smith's over-generation approach [1] and is included with techniques specific for handling Chinese text. Using the syntactic and semantic features identified in a sentence, various question types can be generated with answers also available. Automatic question generation is potentially a key component in future intelligent e-learning systems, but it is also a very challenging problem. A major objective of this work is to investigate technical issues and limitations that would provide direction of future research.

KW - Online learning

KW - Question generation

KW - Question taxonomy

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U2 - 10.1007/978-3-662-46158-7_7

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M3 - Conference contribution

AN - SCOPUS:84922375016

T3 - Communications in Computer and Information Science

SP - 61

EP - 73

BT - Technology in Education

A2 - Li, Kam Cheong

A2 - Cheung, Simon K.S.

A2 - Wong, Tak-Lam

A2 - Lam, Jeanne

A2 - Keung Ng, Kwan

T2 - 1st International Conference on Technology in Education, ICTE 2014

Y2 - 2 July 2014 through 4 July 2014

ER -

Kwok-Fai Lui A, Ng SC, Fung YC. A parse tree based computation technique for generating comprehension style questions from Chinese text. In Li KC, Cheung SKS, Wong TL, Lam J, Keung Ng K, editors, Technology in Education: Transforming Educational Practices with Technology - 1st International Conference, ICTE 2014, Revised Selected Papers. 2015. p. 61-73. (Communications in Computer and Information Science). doi: 10.1007/978-3-662-46158-7_7

A parse tree based computation technique for generating comprehension style questions from Chinese text

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