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Long Short-Term Memory (LSTM) Networks and Convolutional Neural Networks (CNN) have become very common and are used in many fields as they were effective in solving many problems where the general neural networks were inefficient.
Convolutional networks for images, speech, and time series
LeCun, Y. and Bengio, Y., · 1995
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Face recognition: A convolutional neural-network approach
Lawrence, S., Giles, C.L., Tsoi, A.C. and Back, A.D., · 1997
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Long Short-Term Memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Recurrent Neural Networks: Design and Applications (1st ed.)
L. C. Jain and L. R. Medsker · 1999
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I. and Hinton, G.E., · 2012
Earlier work this paper cites.
Generating sequences with recurrent neural networks
Graves, A., · 2013
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Efficient estimation of word representations in vector space
Mikolov, Tomas, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
Cited alongside, same era.
Sequence to sequence learning with neural networks
Sutskever, I., Vinyals, O. and Le, Q.V · 2014
Cited alongside, same era.
Convolutional neural networks for sentence classification
Kim, Y., · 2014
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Deep convolutional neural networks for sentiment analysis of short texts
dos Santos, C. and Gatti, M., · 2014
Cited alongside, same era.
On stopwords, filtering and data sparsity for sentiment analysis of twitter.810-817. 2014
Saif, Hassan, Miriam Fernández, Yulan He, and Harith Alani · 2014
Later among the works it cites.
Show and tell: A neural image caption generator
Vinyals, O., Toshev, A., Bengio, S. and Erhan, D · 2015
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A long short-term memory model for answer sentence selection in question answering
Wang, D. and Nyberg, E · 2015
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Joint Lemmatization and Morphological Tagging with LEMMING
Muller, Thomas; Cotterell, Ryan; Fraser, Alexander; Schutze, Hinrich · 2015
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Twitter Sentiment Analysis Training Corpus (Dataset) Thinknook [Online]
Ibrahim Naji, Naji, · 2018
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