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Automatic question generation (QG) is a challenging problem in natural language understanding.
Cross-lingual language model pretraining
Guillaume Lample and Alexis Conneau. 2019 · 1901
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Philip Gage. 1994 · 1994
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A novel framework for automatic chinese question generation based on multi-feature neural network model
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Cross-lingual transfer learning for multilingual task oriented dialog
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Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, and Haifeng Wang. 2018 · 2018
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Automating reading comprehension by generating question and answer pairs
Vishwajeet Kumar, Kireeti Boorla, Yogesh Meena, Ganesh Ramakrishnan, and Yuan-Fang Li. 2018a
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A framework for automatic question generation from text using deep reinforcement learning
Vishwajeet Kumar, Ganesh Ramakrishnan, and Yuan-Fang Li. 2018b
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016a
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016b
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Sebastian Schuster, Sonal Gupta, Rushin Shah, and Mike Lewis. 2019 · 2019
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