Automatic Generation of Multiple Choice Questions Using Wikipedia

This paper presents a system for automatic generation of multiple choice test items using Wikipedia, and proposes a methodology for potential sentence selection with the help of existing test items in the web.

Abstract

In this paper we present a system for automatic generation of multiple choice test items using Wikipedia. Here we propose a methodology for potential sentence selection with the help of existing test items in the web. The sentences are selected using a set of pattern extracted from the existing questions. We also propose a novel technique for generating named entity distractors. For generating quality named entity distractors we extract certain additional attribute values on the key from the web and search the Wikipedia for the entities having similar attribute values. We run our experiments in sports domain. The generated questions and distractors are evaluated by a set of human evaluators using a set of parameters. The evaluation results demonstrate that the system is reasonably accurate.