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While liking or upvoting a post on a mobile app is easy to do, replying with a written note is much more difficult, due to both the cognitive load of coming up with a meaningful response as well as the mechanics of entering the text.
Multidimensional scaling
T. F. Cox and M. A. Cox · 2000
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A global geometric framework for nonlinear dimensionality reduction
J. B. Tenenbaum, V. D. Silva, and J. C. Langford · 2000
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Laplacian eigenmaps and spectral techniques for embedding and clustering
M. Belkin and P. Niyogi · 2001
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The Human-computer Interaction Handbook
S. Oviatt · 2003
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A latent variable model for geographic lexical variation
J. Eisenstein, B. O’Connor, N. A. Smith, and E. P. Xing · 2010
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Multimodal learning with deep boltzmann machines
N. Srivastava and R. Salakhutdinov · 2014
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Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio · 2015
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Line: Large-scale information network embedding
J. Tang, M. Qu, and M. Wang · 2015
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Morphological priors for probabilistic neural word embeddings
P. Bhatia, R. Guthrie, and J. Eisenstein · 2016
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Contextual lstm (clstm) models for large scale nlp tasks
S. Ghosh, O. Vinyals, B. Strope, S. Roy, T. Dean, and L. Heck · 2016
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A persona-based neural conversation model
J. Li, M. Galley, C. Brockett, G. Spithourakis, J. Gao, and B. Dolan
Cited in the paper.
Deep reinforcement learning for dialogue generation
J. Li, W. Monroe, M. Galley, C. Brockett, G. Spithourakis, J. Gao, and B. Dolan
Cited in the paper.
node2vec: Scalable feature learning for networks
A. Grover and J. Leskovec · 2016
Later among the works it cites.
D. Ha, A. Dai, and Q. Le · 2016
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Thought vectors https://www.youtube.com/watch?v=i7umakh9dis
G. Hinton · 2016
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Smart reply: Automated response suggestion for email
A. Kannan, K. Kurach, S. Ravi, T. Kaufmann, A. Tomkins, and B. Miklos · 2016
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Topic aware neural response generation
C. Xing, W. Wu, Y. Wu, and J. Liu · 2016
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