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Deep reading models for question-answering have demonstrated promising performance over the last couple of years.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Latent aspect rating analysis on review text data: a rating regression approach
Hongning Wang, Yue Lu, and ChengXiang Zhai · 2010
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Latent aspect rating analysis without aspect keyword supervision
Hongning Wang, Yue Lu, and ChengXiang Zhai · 2011
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning · 2014
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom · 2015
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End-to-end memory networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, and Rob Fergus · 2015
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Towards ai-complete question answering: A set of prerequisite toy tasks
Jason Weston, Antoine Bordes, Sumit Chopra, and Tomas Mikolov · 2015
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A Convolutional Encoder Model for Neural Machine Translation
Jonas Gehring, Michael Auli, David Grangier, and Yann N Dauphin · 2016
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Ms marco: A human generated machine reading comprehension dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng · 2016
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Squad: 100, 000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang · 2016
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Aspect level sentiment classification with deep memory network
Duyu Tang, Bing Qin, and Ting Liu · 2016
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Reading wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes · 2017
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Dureader: a chinese machine reading comprehension dataset from real-world applications
Adversarial examples for evaluating reading comprehension systems
Robin Jia and Percy Liang · 2017
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Gated end-to-end memory networks
Fei Liu and Julien Perez · 2017
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Dyadic memory networks for aspect-based sentiment analysis
Yi Tay, Luu Anh Tuan, and Siu Cheung Hui · 2017
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Newsqa: A machine comprehension dataset
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, and Kaheer Suleman · 2017
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Constructing datasets for multi-hop reading comprehension across documents
Johannes Welbl, Pontus Stenetorp, and Sebastian Riedel · 2017
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Gated self-matching networks for reading comprehension and question answering
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Wei He, Kai Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, and Haifeng Wang · 2017
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Mnemonic reader for machine comprehension
Minghao Hu, Yuxing Peng, and Xipeng Qiu · 2017
Cited alongside, same era.
Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, and Ross B. Girshick · 2017
Cited alongside, same era.
Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, and Ming Zhou · 2017
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Fast and accurate reading comprehension by combining self-attention and convolution
Adams Wei Yu, David Dohan, Quoc Le, Thang Luong, Rui Zhao, and Kai Chen · 2018
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