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In this paper, we propose a multiple-choice question generation methodology for understanding evaluation of adjectives in a text. Based on the sense association among adjectives, an adjective being examined can be usually substituted by some other adjectives. In order to discourage learners from answering questions by recalling memorized answers, and to expose learners with more vocabularies, the answer of the questions generated is a substitute of the adjective being examined. The candidates of a substitute are gathered from WordNet and filtered by web corpus searching. Based on the proposed methodology, the choice candidates that are not selected as the answer are still useful. They are more distracting than the dissimilar adjectives and can be used as distractors to improve the distinguishability of a question.