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Reading comprehension has been widely studied.
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1907
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2006
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2013
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2014
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Y.-C. Tam, Y. Lei, J. Zheng, and W. Wang, “Asr error detection using recurrent neural network language model and complementary asr,” in
2014
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2014
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G. Mesnil, Y. Dauphin, K. Yao, Y. Bengio, L. Deng, D. Hakkani-Tur, X. He, L. Heck, G. Tur, D. Yu
2015
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E. Simonnet, N. Camelin, P. Deléglise, and Y. Estève, “Exploring the use of attention-based recurrent neural networks for spoken language understanding,” in
2015
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S. Ghannay, Y. Esteve, N. Camelin, C. Dutrey, F. Santiago, and M. Adda-Decker, “Combining continuous word representation and prosodic features for asr error prediction,” in
2015
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2016
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2016
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B. Hixon, P. Clark, and H. Hajishirzi, “Learning knowledge graphs for question answering through conversational dialog,” in
2015
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X. Zhang, J. Zhao, and Y. LeCun, “Character-level convolutional networks for text classification,” in
2015
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2016
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D. Hakkani-Tür, G. Tür, A. Celikyilmaz, Y.-N. Chen, J. Gao, L. Deng, and Y.-Y. Wang, “Multi-domain joint semantic frame parsing using bi-directional rnn-lstm.” in
2016
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2016
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L.-C. Yu, H.-y. Lee, and L.-S. Lee, “Abstractive headline generation for spoken content by attentive recurrent neural networks with asr error modeling,” in
2016
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S. Ghannay, Y. Estève, N. Camelin, and P. Deléglise, “Acoustic word embeddings for asr error detection.” in
2016
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I. Zukerman and A. Partovi, “Improving the understanding of spoken referring expressions through syntactic-semantic and contextual-phonetic error-correction,”
2017
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2017
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W. Wang, N. Yang, F. Wei, B. Chang, and M. Zhou, “Gated self-matching networks for reading comprehension and question answering,” in
2017
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M. Hu, Y. Peng, and X. Qiu, “Reinforced mnemonic reader for machine comprehension,”
2017
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2017
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D. Chen, A. Fisch, J. Weston, and A. Bordes, “Reading wikipedia to answer open-domain questions,”
2017
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