Fetching the paper…
Reading the bibliography…
Although deep learning models have proven effective at solving problems in natural language processing, the mechanism by which they come to their conclusions is often unclear.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Y Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts Potts · 2013
Earlier work this paper cites.
Convolutional neural networks for sentence classification
Yoon Kim · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc Le · 2014
Earlier work this paper cites.
Large-scale simple question answering with memory networks
Antoine Bordes, Nicolas Usunier, Sumit Chopra, and Jason Weston · 2015
Earlier work this paper cites.
Extraction of salient sentences from labelled documents
Misha Denil, Alban Demiraj, and Nando de Freitas · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederick P. Kingma and Jimmy Lei Ba · 2015
Cited alongside, same era.
Character-level convolutional networks for text classification
Xiang Zhang, Junbo Zhao, and Yann LeCun · 2015
Cited alongside, same era.
Automatic text scoring using neural networks
Dimitrios Alikaniotis, Helen Yannakoudakis, and Marek Rei · 2016
Cited alongside, same era.
Ask the gru: Multi-task learning for deep text recommendations
Trapit Bansal, David Belanger, and Andrew McCallum · 2016
Cited alongside, same era.
Visual analysis of hidden state dynamics in recurrent neural networks
Strobelt Hendrik, Sebastian Gehrmann, Bernd Huber, Hanspeter Pfister, and Alexander M. Rush · 2016
Cited alongside, same era.
Wikireading: A novel large-scale language understanding task over wikipedia
Daniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey, and David Berthelot · 2016
Exploring the limits of language modeling
Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, and Yonghui Wu · 2016
Later among the works it cites.
Visualizing and understanding recurrent neural networks
Andrej Karpathy, Justin Johnson, and Fei-Fei Li · 2016
Later among the works it cites.
Dataset and neural recurrent sequence labeling model for open-domain factoid question answering
Peng Li, Wei Li, Zhengyan He, Xuguang Wang, Ying Cao, Jie Zhou, and Wei Xu · 2016
Later among the works it cites.
Key-value memory networks for directly reading documents
Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston · 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.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.