Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners
Keisuke Sakaguchi, Yuki Arase, Mamoru Komachi · 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. Un-like previous studies, the proposed meth-ods aim at satisfying both reliability and validity of generated distractors; distrac-tors should be exclusive against answers to avoid multiple answers in one quiz, and distractors should discriminate learn-ers ’ 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. 1