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Erschienen in:
2015 | OriginalPaper | Buchkapitel
A Parse Tree Based Computation Technique for Generating Comprehension Style Questions from Chinese Text
verfasst von : Andrew Kwok-Fai Lui, Sin-Chun Ng, Yin-Chun Fung
Erschienen in: Technology in Education. Transforming Educational Practices with Technology
Verlag: Springer Berlin Heidelberg
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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.