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Automatic Question Generation Based on Analysis of Sentence Structure

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Text, Speech, and Dialogue (TSD 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9924))

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Abstract

This paper presents a novel approach to the area of automated factual question generation. We propose a template-based method which uses the structure of sentences to create multiple sentence patterns on various levels of abstraction. The pattern is used to classify the sentences and to generate questions. Our approach allows to create questions on different levels of difficulty and generality e.g. from general questions to specific ones. Other advantages lie in simple expansion of patterns and in increasing the text coverage. We also suggest a new way of storing patterns which significantly improves pattern matching process. Our first results indicate that the proposed method can be an interesting direction in the research of automated question generation.

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Notes

  1. 1.

    An interrogative or relative pronoun (what, why, where, which, who, or how).

  2. 2.

    Classifications of tokens by Stanford POS Tagger.

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Acknowledgments

The work reported here was supported by the Scientific Grant Agency of Slovak Republic (VEGA) under the grants No. VG 1/0752/14, VG 1/0646/15 and ITMS 26240120039.

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Authors and Affiliations

  1. Institute of Informatics, Information Systems and Software Engineering, Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava, Ilkovičova 2, Bratislava, Slovakia

    Miroslav Blšták & Viera Rozinajová

Authors
  1. Miroslav Blšták
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  2. Viera Rozinajová
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Corresponding author

Correspondence to Miroslav Blšták .

Editor information

Editors and Affiliations

  1. Masaryk University , Brno, Czech Republic

    Petr Sojka

  2. Masaryk University , Brno, Czech Republic

    Aleš Horák

  3. Masaryk University , Brno, Czech Republic

    Ivan Kopeček

  4. Masaryk University , Brno, Czech Republic

    Karel Pala

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Blšták, M., Rozinajová, V. (2016). Automatic Question Generation Based on Analysis of Sentence Structure. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech, and Dialogue. TSD 2016. Lecture Notes in Computer Science(), vol 9924. Springer, Cham. https://doi.org/10.1007/978-3-319-45510-5_26

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  • DOI: https://doi.org/10.1007/978-3-319-45510-5_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45509-9

  • Online ISBN: 978-3-319-45510-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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