IEEE Style Citation: Arpit Agrawal, Pragya Shukla, Aishwarya Panicker, Trisha Dhawe, “Automatic Fill in the Blank Question with Distractor Generation Using NLP,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.892-897, 2019.
MLA Style Citation: Arpit Agrawal, Pragya Shukla, Aishwarya Panicker, Trisha Dhawe "Automatic Fill in the Blank Question with Distractor Generation Using NLP." International Journal of Computer Sciences and Engineering 7.6 (2019): 892-897.
APA Style Citation: Arpit Agrawal, Pragya Shukla, Aishwarya Panicker, Trisha Dhawe, (2019). Automatic Fill in the Blank Question with Distractor Generation Using NLP. International Journal of Computer Sciences and Engineering, 7(6), 892-897.
BibTex Style Citation:
@article{Agrawal_2019,
author = {Arpit Agrawal, Pragya Shukla, Aishwarya Panicker, Trisha Dhawe},
title = {Automatic Fill in the Blank Question with Distractor Generation Using NLP},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {892-897},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4650},
doi = {https://doi.org/10.26438/ijcse/v7i6.892897}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.892897}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4650
TI - Automatic Fill in the Blank Question with Distractor Generation Using NLP
T2 - International Journal of Computer Sciences and Engineering
AU - Arpit Agrawal, Pragya Shukla, Aishwarya Panicker, Trisha Dhawe
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 892-897
IS - 6
VL - 7
SN - 2347-2693
ER -
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Abstract
Today, in the advancement of Information Technology, machine learning has many applications especially in the field of Natural Language Processing. Thus with the help of NLP and algorithms of machine learning, we can automatically generate fill in the blank questions. Thus the task of manually constructing questions is no more a burden. An algorithmic approach has been deduced in this model to generate fill in the blank questions. A paragraph will be provided from which we have to select sentences with relevant content so that these sentences can be considered as options to generate fill in the blanks. The sentences with meaningful information are chosen for question generation. The questions will have relevant blanks which can be filled by one amongst the four choices provided just like multiple choice questions. Each question will have only one choice as the correct answer. The rest of the three choices will be wrong answer known as distractors.
Key-Words / Index Term
NLP-Natural Language Processing, NER-Named Entity Recognition, POS-Part-of-Speech, RNN-Recurrent Neural Network, NLTK-Natural Language Toolkit, GloVe-Global Vector
References
[1] Wolfe, J.H.: Automatic question generation from text - an aid to independent study. SIGCUE Outlook 10(SI) (1976)
[2] Kunichika, H., Katayama, T., Hirashima, T., Takeuchi, A.: Automated question generation methods for intelligent English learning systems and its evaluation, Proc. of ICCE01 (2001).
[3] Simon Smith, P.V.S Avinesh and Adam Kilgarriff. 2010.Gap-fill Tests for Language Learners: Corpus-Driven Item Generation .
[4] Naveed Afzal and Viktor Pekar: Unsupervised Relation Extraction for Automatic Generation of Multiple-Choice Questions.
[5] RUSLAN MITKOV, LE AN HA and NIKIFOROS KARAMANIS: A computer-aided environment for generating multiple-choice test items(2005) .
[6] Husam Ali Yllias Chali Sadid A. Hasan: Automatic Question Generation from Sentences(2010)
[7] Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada : Automatic Generation System of Multiple-Choice Cloze Questions and its Evaluation
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