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Findings of the Association for Computational Linguistics: EMNLP 2020
In this paper, we investigate the following two limitations for the existing distractor generation (DG) methods. First, the quality of the existing DG methods are still far from practical use. There are still room for DG quality improvement. Second, the existing DG designs are mainly for single distractor generation. However, for practical MCQ preparation, multiple distractors are desired. Aiming at these goals, in this paper, we present a new distractor generation scheme with multi-tasking anddoi:10.18653/v1/2020.findings-emnlp.393 fatcat:bwdda2nlljdbbjhavmxjkd5i5i