CFP last date
20 May 2024
Reseach Article

Automatic Fill in the Blanks with Distractor Generation from given Corpus

by Sheetal Rakangor, Y. R. Ghodasara
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 9
Year of Publication: 2014
Authors: Sheetal Rakangor, Y. R. Ghodasara
10.5120/18402-9667

Sheetal Rakangor, Y. R. Ghodasara . Automatic Fill in the Blanks with Distractor Generation from given Corpus. International Journal of Computer Applications. 105, 9 ( November 2014), 1-8. DOI=10.5120/18402-9667

@article{ 10.5120/18402-9667,
author = { Sheetal Rakangor, Y. R. Ghodasara },
title = { Automatic Fill in the Blanks with Distractor Generation from given Corpus },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 9 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number9/18402-9667/ },
doi = { 10.5120/18402-9667 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:37:14.093881+05:30
%A Sheetal Rakangor
%A Y. R. Ghodasara
%T Automatic Fill in the Blanks with Distractor Generation from given Corpus
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 9
%P 1-8
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, Researcher present an automatic fill in the blanks with distractors generation from the given corpus. Distractor means multiple choices provided, i. e. four options are provided out of that three are the distractor and one is correct answer. System is developed in java using JDBC and mysql for storing the question, both are open source. Standford NLP parser is used for parsing the sentences and generated informative questions. POS tagger and NER functionality of parser used to encode the sentence. NER functionality is also used to identify whether key selected is Name, Place or Organization.

References
  1. Pollock, M. J. , Whittington, C. D. , Doughty, G. F. : Evaluating the Costs and Benefits of Changing to CAA. Proceedings of the Fourth International Computer Assisted Conference CAA, http://www. caaconference. com/. (2000).
  2. Wolfe, J. H. : Automatic question generation from text - an aid to independent study. SIGCUE Outlook 10(SI) (1976)
  3. Kunichika, H. , Katayama, T. , Hirashima, T. , Takeuchi, A. : Automated question generation methods for intelligent english learning systems and its evaluation, Proc. of ICCE01 (2001).
  4. Manish Agarwal and Prashanth Mannem : Automatic Gap-fill Question generation from text books
  5. Simon Smith, P. V. S Avinesh and Adam Kilgarriff. 2010. Gap-fill Tests for Language Learners: Corpus-Driven Item Generation .
  6. Nikiforos Karamanis, Le An Ha and Ruslan Mitkov: Generating Multiple-Choice Test Items from Medical Text:A Pilot Study
  7. Naveed Afzal and Viktor Pekar: Unsupervised Relation Extraction for Automatic Generation of Multiple-Choice Questions.
  8. RUSLAN MITKOV, LE AN HA and NIKIFOROS KARAMANIS: A computer-aided environment for generating multiple-choice test items(2005)
  9. Le An Ha :Multiple-choice test item generation: A demo Vasile Rus, Brendan Wyse, Paul Piwek, Mihai Lintean, Svetlana Stoyanchev and Cristian Moldovan:The First Question Generation Shared Task Evaluation Challenge (2010)
  10. Husam Ali Yllias Chali Sadid A. Hasan: Automatic Question Generation from Sentences(2010)
  11. Takuya Goto, Tomoko Kojiri, Toyohide Watanabe, Tomoharu Iwata, Takeshi Yamada : Automatic Generation System of Multiple-Choice Cloze Questions and its Evaluation
  12. John Lee, Stephanie Seneff: Automatic Generation of Cloze Items for Prepositions (2007)
Index Terms

Computer Science
Information Sciences

Keywords

Distractor NER Feature POS tagger Name Place Organization