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cs.CL2020
Automatic Distractor Generation for Multiple Choice Questions in Standard Tests
Zhaopeng Qiu, Xian Wu, Wei Fan
To assess the knowledge proficiency of a learner, multiple choice question is an efficient and widespread form in standard tests. However, the composition of the multiple choice qu…
cs.CL2020
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding
Fenglin Liu, Xuancheng Ren, Guangxiang Zhao +4
In sequence-to-sequence learning, e.g., natural language generation, the decoder relies on the attention mechanism to efficiently extract information from the encoder. While it is…