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We describe a new class of learning models called memory networks.
The Fellowship of the Ring
Tolkien, John Ronald Reuel · 1954
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{ \{ DISCERN } \} : { \{ A } \} distributed artificial neural network model of script processing and memory
Miikkulainen, Risto · 1990
Earlier work this paper cites.
Learning context-free grammars: Capabilities and limitations of a recurrent neural network with an external stack memory
Das, Sreerupa, Giles, C Lee, and Sun, Guo-Zheng · 1992
Earlier work this paper cites.
Learning to control fast-weight memories: An alternative to dynamic recurrent networks
Schmidhuber, Jürgen · 1992
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A ‘self-referential’weight matrix
Schmidhuber, Jürgen · 1993
Earlier work this paper cites.
Neural networks: A comprehensive foundation
Haykin, Simon · 1994
Earlier work this paper cites.
Learning long-term dependencies in narx recurrent neural networks
Lin, Tsungnam, Horne, Bil G, Tiňo, Peter, and Giles, C Lee · 1996
Earlier work this paper cites.
Long short-term memory
Hochreiter, Sepp and Schmidhuber, Jürgen · 1997
Earlier work this paper cites.
Towards understanding situated natural language
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Mctest: A challenge dataset for the open-domain machine comprehension of text
Richardson, Matthew, Burges, Christopher JC, and Renshaw, Erin · 2013
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Neural machine translation by jointly learning to align and translate
Bahdanau, Dzmitry, Cho, Kyunghyun, and Bengio, Yoshua · 2014
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Modeling biological processes for reading comprehension
Berant, Jonathan, Srikumar, Vivek, Chen, Pei-Chun, Huang, Brad, Manning, Christopher D, Vander Linden, Abby, Harding, Brittany, and Clark, Peter · 2014
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Graves, Alex, Wayne, Greg, and Danihelka, Ivo · 2014
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Generating sequences with recurrent neural networks
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Question answering with subgraph embeddings
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Open question answering with weakly supervised embedding models
Bordes, Antoine, Weston, Jason, and Usunier, Nicolas
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Semantic parsing for single-relation question answering
Yih, Wen-Tau, He, Xiaodong, and Meek, Christopher · 2014
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Zaremba, Wojciech and Sutskever, Ilya · 2014
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