Deep Learning and Linguistic Feature Based Automatic Multiple Choice Question Generation from Text-Reference-Cited by-同舟云学术

Deep Learning and Linguistic Feature Based Automatic Multiple Choice Question Generation from Text

Published:2022 Issue: Volume: Page:260-264
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Agarwal Rajat,Negi Vaishnav,Kalra Akshat,Mittal Ankush

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-94876-4_18

Reference13 articles.

1. Majumder, M., Saha, S.K.: A system for generating multiple choice questions: with a novel approach for sentence selection. In: Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications (2015)

2. Faizan, A., Lohmann S.: Automatic generation of multiple choice questions from slide content using linked data. In: Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics (2018)

3. Santhanavijayan, A., et al.: Automatic generation of multiple choice questions for e-assessment. Int. J. Sig. Imag. Syst. Eng. 10(1–2), 54–62 (2017)

4. Dhole, K.D., Manning, C.D.: Syn-QG: syntactic and shallow semantic rules for question generation. arXiv preprint arXiv:2004.08694 (2020)

5. Ch, D.R., Saha, S.K.: Automatic multiple choice question generation from text: a survey. IEEE Trans. Learn. Technol. 13(1), 14–25 (2018)

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