Attention-Based Convolutional Neural Network for Machine Comprehension

Long short-term memory

Sepp Hochreiter and Jürgen Schmidhuber · 1997

Earlier work this paper cites.

Cumulated gain-based evaluation of ir techniques

Kalervo Järvelin and Jaana Kekäläinen · 2002

Earlier work this paper cites.

A unified architecture for natural language processing: Deep neural networks with multitask learning

Ronan Collobert and Jason Weston · 2008

Earlier work this paper cites.

Recurrent neural network based language model

Tomas Mikolov, Martin Karafiát, Lukas Burget, Jan Cernockỳ, and Sanjeev Khudanpur · 2010

Earlier work this paper cites.

Modeling semantic relevance for question-answer pairs in web social communities

Baoxun Wang, Xiaolong Wang, Chengjie Sun, Bingquan Liu, and Lin Sun · 2010

Earlier work this paper cites.

Adaptive subgradient methods for online learning and stochastic optimization

John Duchi, Elad Hazan, and Yoram Singer · 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.

Learning phrase representations using rnn encoder-decoder for statistical machine translation

Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014

Earlier work this paper cites.

A neural network for factoid question answering over paragraphs

Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher, and Hal Daumé III · 2014

Cited alongside, same era.

Glove: Global vectors for word representation

Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014

Cited alongside, same era.

Memory networks

Jason Weston, Sumit Chopra, and Antoine Bordes · 2014

Cited alongside, same era.

Deep learning for answer sentence selection

Original

Lei Yu, Karl Moritz Hermann, Phil Blunsom, and Stephen Pulman · 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.

Ask me anything: Dynamic memory networks for natural language processing

Learning answer-entailing structures for machine comprehension

Mrinmaya Sachan, Avinava Dubey, Eric P Xing, and Matthew Richardson · 2015

Later among the works it cites.

Learning to rank short text pairs with convolutional deep neural networks

Aliaksei Severyn and Alessandro Moschitti · 2015

Later among the works it cites.

Question/answer matching for cqa system via combining lexical and sequential information

Yikang Shen, Wenge Rong, Zhiwei Sun, Yuanxin Ouyang, and Zhang Xiong · 2015

Later among the works it cites.

A strong lexical matching method for the machine comprehension test

Ellery Smith, Nicola Greco, Matko Bosnjak, and Andreas Vlachos · 2015

Later among the works it cites.

Training very deep networks

Rupesh K Srivastava, Klaus Greff, and Jürgen Schmidhuber · 2015

Later among the works it cites.

Machine comprehension with syntax, frames, and semantics

Hai Wang and Mohit Bansal Kevin Gimpel David McAllester · 2015