Automatic Generation of Fill-in-the-Blank Questions From History Books for School-Level Evaluation

  • Sumeet Pannu
  • Aishwarya Krishna
  • Shiwani Kumari
  • Rakesh Patra
  • Sujan Kumar Saha
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 710)

Abstract

Fill-in-the-blank questions (FIBs) play an important role in educational assessment. FIBs are effective to assess the understanding of well-defined concepts, and these are often used in school level. But manual preparation of FIBs is time-consuming and requires sufficient expertise on the content. This paper presents the proposed system for automatic generation of FIB questions that accepts school textbook as input. First, we identify the informative sentences that can act as the basis of FIBs. A parse structure-based module works on the sentences to identify the concept or knowledge embedded in the sentence. The knowledge is extracted in form of subject–predicate–object triplet or expanded triplet. Then, a hybrid algorithm chooses the most appropriate word/phrase that can be marked as a gap. Proposed system is tested using class VII-level history textbook as input. The quality of the system generated questions is then evaluated manually using three defined metrics. Experimental result shows that the proposed technique is quite promising.

Keywords

Question generation Fill-in-the-blanks Educational NLP 

Notes

Acknowledgements

This work is supported by the project grant (project file no.: YSS/2015/001948) provided by the Science and Engineering Research Board (SERB), Govt. of India.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Sumeet Pannu
    • 1
  • Aishwarya Krishna
    • 1
  • Shiwani Kumari
    • 1
  • Rakesh Patra
    • 1
  • Sujan Kumar Saha
    • 1
  1. 1.Department of CSEBIT MesraRanchiIndia

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