A Learning-Based Framework to Utilize E-HowNet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions

Min-Huang Chu, Wen-Yu Chen, Shou-De Lin
2012 2012 Conference on Technologies and Applications of Artificial Intelligence  
This paper proposes a framework that automatically generates multiple-choice questions. Unlike most other similar works that focus on generating questions for English proficiency tests, this paper provides a framework to generate factual questions in Chinese. We have decomposed this problem into several sub-tasks: a) the identification of sentences that contain factual knowledge, b) the identification of the query term from each factual sentence, and c) the generation of distractors.
more » ... sed approaches are applied to address the first two problems. We then propose a way to generate distractors by using E-HowNet ontology database and Wikipedia sources. The system was evaluated through user study and test theory, and achieved a satisfaction rate of up to 70.6%.
doi:10.1109/taai.2012.38 dblp:conf/taai/ChuCL12 fatcat:735zakxycvc53ca7xscy2jhb4i