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We present a new approach to the design of deep networks for natural language processing (NLP), based on the general technique of Tensor Product Representations (TPRs) for encoding and processing symbol structures in distributed neural networks.
Recursive distributed representations
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Paul Smolensky · 1990
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie · 2005
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The harmonic mind: From neural computation to optimality-theoretic grammar. Volume 1: Cognitive architecture
Paul Smolensky and Géraldine Legendre · 2006
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Richard Socher, Christopher D Manning, and Andrew Y Ng · 2010
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Paul Smolensky · 2012
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Ryan Kiros, Ruslan Salakhutdinov, and Rich Zemel · 2014
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Ryan Kiros, Ruslan Salakhutdinov, and Richard S Zemel · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Deep compositional question answering with neural module networks. arxiv preprint
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein · 2015
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Mind’s eye: A recurrent visual representation for image caption generation
Xinlei Chen and Lawrence Zitnick · 2015
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Language models for image captioning: The quirks and what works
Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, and Margaret Mitchell · 2015
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Long-term recurrent convolutional networks for visual recognition and description
Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell · 2015
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Deep visual-semantic alignments for generating image descriptions
Andrej Karpathy and Li Fei-Fei · 2015
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Deep captioning with multimodal recurrent neural networks (m-rnn)
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, and Alan Yuille · 2015
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Learning to compose words into sentences with reinforcement learning
Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, and Wang Ling · 2016
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Incremental parsing in a continuous dynamical system: Sentence processing in Gradient Symbolic Computation
Pyeong Whan Cho, Matthew Goldrick, and Paul Smolensky · 2017
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Coco dataset for image captioning
COCO · 2017
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Semantic compositional networks for visual captioning
Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, and Li Deng · 2017
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Embedding projector in tensorboard
Google · 2017
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Dragnn: A transition-based framework for dynamically connected neural networks
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Cider: Consensus-based image description evaluation
Ramakrishna Vedantam, C Lawrence Zitnick, and Devi Parikh · 2015
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Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan · 2015
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Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, and Marcus Rohrbach · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Lingpeng Kong, Chris Alberti, Daniel Andor, Ivan Bogatyy, and David Weiss · 2017
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Christopher Manning · 2017
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