Semantic Attributes Model for Automatic Generation of Multiple Choice Questions
نویسندگان
چکیده
منابع مشابه
Unsupervised Relation Extraction for Automatic Generation of Multiple-Choice Questions
In this paper, we investigate an unsupervised approach to Relation Extraction to be applied in the context of automatic generation of multiple-choice questions (MCQs). The approach aims to identify the most important semantic relations in a document without assigning explicit labels to them in order to ensure broad coverage, unrestricted to predefined types of relations. The paper examines thre...
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The aim of this paper is to present an innovative approach for generating multiple choice questions in automatic way. Although other approaches have been already reported in the literature, the approach presented in this paper is based on domain specific ontologies and it is independent of lexicons such as WordNet or other linguistic resources. The paper also reports on a first prototype implem...
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Multiple Choice Questions (MCQs) are a popular large-scale assessment tool. MCQs make it much easier for test-takers to take tests and for examiners to interpret their results; however, they are very expensive to compile manually, and they often need to be produced on a large scale and within short iterative cycles. We examine the problem of automated MCQ generation with the help of unsupervise...
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In this paper, we investigate an unsupervised approach to Relation Extraction to be applied in the context of automatic generation of multiplechoice questions (MCQs). MCQs are a popular large-scale assessment tool making it much easier for test-takers to take tests and for examiners to interpret their results. Our approach to the problem aims to identify the most important semantic relations in...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/18038-8544