Automatic Distractor Suggestion for Multiple-Choice Tests Using Concept Embeddings and Information Retrieval

WS 2018 Le An HaVictoria Yaneva

Developing plausible distractors (wrong answer options) when writing multiple-choice questions has been described as one of the most challenging and time-consuming parts of the item-writing process. In this paper we propose a fully automatic method for generating distractor suggestions for multiple-choice questions used in high-stakes medical exams... (read more)

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