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General Information
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2014Vol.3(4): 262-266 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2014.V3.308

Multiple-Choice Item Generator for Narrative and Declarative Texts

Deo Jonathan J. Guillermo, Leonil N. Llona, Madeline L. Tolentino and Richard B. Domingo, and Ria A. Sagum
Abstract—Multiple Choice Item Generator is a research focused on generating grammatically and semantically correct questions and generating plausible distractors. The system’s framework has three main modules: pre-processing, question generation and distractor selection. Pre-processing module implements Hobbs Algorithm for anaphora resolution and direct to indirect speech conversion for handling quoted statements. In generating questions, question overgeneration and ranking framework of Heilman and Smith is used. The distractor selection module uses collocation extraction and Wordnet-based methods such as Lin’s semantic similarity measure, hypernyms, hyponyms and maximal bipartite graph matching .

Index Terms—Hobbs algorithm, question overgeneration, multiple-choice item generator.

The authors are with the College of Computer and Information Sciences, Polytechnic University of the Philippines (e-mail: riasagum31@yahoo.com, deo_jonathan22@yahoo.com, leonilllona@yahoo.com, tolentinomadeline@ymail.com, richardglen_domingo@outlook.com).

[PDF]

Cite:Deo Jonathan J. Guillermo, Leonil N. Llona, Madeline L. Tolentino and Richard B. Domingo, and Ria A. Sagum, "Multiple-Choice Item Generator for Narrative and Declarative Texts," International Journal of Future Computer and Communication vol. 3, no. 4, pp. 262-266, 2014.

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