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The last several years have seen intensive interest in exploring neural-network-based models for machine comprehension (MC) and question answering (QA).
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Accurate unlexicalized parsing
Dan Klein and Christopher D Manning · 2003
Earlier work this paper cites.
Front-end factor analysis for speaker verification
Najim Dehak, Patrick J Kenny, Réda Dehak, Pierre Dumouchel, and Pierre Ouellet · 2011
Earlier work this paper cites.
Parsing natural scenes and natural language with recursive neural networks
Richard Socher, Chiung Yu Lin, Andrew Y. Ng, and Christopher D. Manning · 2011
Earlier work this paper cites.
Mctest: A challenge dataset for the open-domain machine comprehension of text
Matthew Richardson, Christopher JC Burges, and Erin Renshaw · 2013
Earlier work this paper cites.
Modeling biological processes for reading comprehension
Jonathan Berant, Vivek Srikumar, Pei Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, and Christopher D. Manning · 2014
Earlier work this paper cites.
On the properties of neural machine translation: Encoder-decoder approaches
Kyunghyun Cho, Bart Van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio · 2014
Earlier work this paper cites.
Convolutional neural networks for sentence classification
Yoon Kim · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Lei Jimmy Ba · 2014
Earlier work this paper cites.
The stanford corenlp natural language processing toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David Mcclosky · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning · 2014
Cited alongside, same era.
Teaching machines to read and comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom · 2015
Cited alongside, same era.
The goldilocks principle: Reading children’s books with explicit memory representations
Felix Hill, Antoine Bordes, Sumit Chopra, and Jason Weston · 2015
Cited alongside, same era.
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai, Richard Socher, and Christopher Manning · 2015
Cited alongside, same era.
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
Later among the works it cites.
Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang · 2016
Later among the works it cites.
Bidirectional attention flow for machine comprehension
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi · 2016
Later among the works it cites.
Machine comprehension using match-lstm and answer pointer
Shuohang Wang and Jing Jiang · 2016
Later among the works it cites.
Multi-perspective context matching for machine comprehension
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Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
Cited alongside, same era.
Long short-term memory over recursive structures
Xiao-Dan Zhu, Parinaz Sobhani, and Hongyu Guo · 2015
Cited alongside, same era.
Enhancing and combining sequential and tree lstm for natural language inference
Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, and Hui Jiang · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Zhiguo Wang, Haitao Mi, Wael Hamza, and Radu Florian · 2016
Later among the works it cites.
Dynamic coattention networks for question answering
Caiming Xiong, Victor Zhong, and Richard Socher · 2016
Later among the works it cites.
Words or characters? fine-grained gating for reading comprehension
Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W Cohen, and Ruslan Salakhutdinov · 2016
Later among the works it cites.
End-to-end answer chunk extraction and ranking for reading comprehension
Yang Yu, Wei Zhang, Kazi Hasan, Mo Yu, Bing Xiang, and Bowen Zhou · 2016
Later among the works it cites.