Tensor Product Generation Networks for Deep NLP Modeling
暂无分享,去创建一个
Li Deng | Qiuyuan Huang | Dapeng Wu | Xiaodong He | Paul Smolensky | P. Smolensky | Xiaodong He | L. Deng | D. Wu | Qiuyuan Huang
[1] William Ramsey. THE HARMONIC MIND: FROM NEURAL COMPUTATION TO OPTIMALITY‐THEORETIC GRAMMAR—VOLUME 1: COGNITIVE ARCHITECTURE AND VOLUME 2: LINGUISTIC AND PHILOSOPHICAL IMPLICATIONS , 2009 .
[2] Ruslan Salakhutdinov,et al. Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models , 2014, ArXiv.
[3] Pyeong Whan Cho,et al. Incremental parsing in a continuous dynamical system: sentence processing in Gradient Symbolic Computation , 2017 .
[4] Li Deng,et al. Attentive Tensor Product Learning for Language Generation and Grammar Parsing , 2018, ArXiv.
[5] Richard Socher,et al. Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Trevor Darrell,et al. Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding , 2016, EMNLP.
[7] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Alon Lavie,et al. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments , 2005, IEEvaluation@ACL.
[9] David Weiss,et al. DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks , 2017, ArXiv.
[10] Dan Klein,et al. Deep Compositional Question Answering with Neural Module Networks , 2015, ArXiv.
[11] Stephen Clark,et al. Jointly learning sentence embeddings and syntax with unsupervised Tree-LSTMs , 2017, Natural Language Engineering.
[12] P. Smolensky. Symbolic functions from neural computation , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[13] Li Deng,et al. Deep Learning of Grammatically-Interpretable Representations Through Question-Answering , 2017, ArXiv.
[14] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[15] Dan Klein,et al. Neural Module Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[17] Pratik Rane,et al. Self-Critical Sequence Training for Image Captioning , 2018 .
[18] Christopher D. Manning,et al. Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks , 2010 .
[19] Ruslan Salakhutdinov,et al. Multimodal Neural Language Models , 2014, ICML.
[20] Wei Xu,et al. Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN) , 2014, ICLR.
[21] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[22] Trevor Darrell,et al. Long-term recurrent convolutional networks for visual recognition and description , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Geoffrey Zweig,et al. Language Models for Image Captioning: The Quirks and What Works , 2015, ACL.
[24] Richard Socher,et al. Ask Me Anything: Dynamic Memory Networks for Natural Language Processing , 2015, ICML.
[25] Xiaokui Shu,et al. Natural Language Toolkit (NLTK) , 2010 .
[26] Li Deng,et al. Question-Answering with Grammatically-Interpretable Representations , 2017, AAAI.
[27] Joe Pater. The harmonic mind : from neural computation to optimality-theoretic grammar , 2009 .
[28] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Tao Mei,et al. Boosting Image Captioning with Attributes , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[30] Xinlei Chen,et al. Mind's eye: A recurrent visual representation for image caption generation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Hanli Wang,et al. Image captioning with deep LSTM based on sequential residual , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[32] Christopher D. Manning,et al. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks , 2015, ACL.
[33] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2015, CVPR.
[34] C. Lawrence Zitnick,et al. CIDEr: Consensus-based image description evaluation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Geoffrey E. Hinton. Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems , 1991 .
[36] Jordan B. Pollack,et al. Recursive Distributed Representations , 1990, Artif. Intell..
[37] Wang Ling,et al. Learning to Compose Words into Sentences with Reinforcement Learning , 2016, ICLR.