A System for Generating Multiple Choice Questions: With a Novel Approach for Sentence Selection
Mukta Majumder, Sujan Kumar Saha · 2015
Multiple Choice Question (MCQ) plays a major role in educational assessment as well as in active learning.In this paper we present a system that generates MCQs automatically using a sports domain text as input.All the sentences in a text are not capable of generating MCQs; the first step of the system is to select the informative sentences.We propose a novel technique to select informative sentences by using topic modeling and parse structure similarity.The parse structure similarity is computed between the parse structure of an input sentence and a set of reference parse structures.In order to compile the reference set we use a number of existing MCQs collected from the web.Keyword selection is done with the help of occurrence of domain specific word and named entity word in the sentence.Distractors are generated using a set of rules and name dictionary.Experimental results demonstrate that the proposed technique is quite accurate.