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Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners

Keisuke Sakaguchi, Yuki Arase and Mamoru Komachi

The 51st Annual Meeting of the Association for Computational Linguistics - Short Papers (ACL Short Papers 2013)
Sofia, Bulgaria, August 4-9, 2013


We propose discriminative methods to generate semantic distractors of fill-in-the blank quiz for language learners using a large-scale language learners’ corpus. Unlike previous studies, the proposed methods aim at satisfying both reliability and validity of generated distractors; distractors should be exclusive against answers to avoid multiple answers in one quiz, and distractors should discriminate learners’ proficiency. Detailed user evaluation with 3 native and 23 non-native speakers of English shows that our methods achieve better reliability and validity than previous methods.

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