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- W3101000947 abstract "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 and negative answer training strategies for effectively generating multiple distractors. The experimental results show that (1) our model advances the state-of-the-art result from 28.65 to 39.81 (BLEU 1 score) and (2) the generated multiple distractors are diverse and shows strong distracting power for multiple choice question." @default.
- W3101000947 created "2020-11-23" @default.
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- W3101000947 date "2020-01-01" @default.
- W3101000947 modified "2023-09-26" @default.
- W3101000947 title "A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies." @default.
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- W3101000947 doi "https://doi.org/10.18653/v1/2020.findings-emnlp.393" @default.
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