Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval
暂无分享,去创建一个
Rabab Kreidieh Ward | Yelong Shen | Jianfeng Gao | Li Deng | Xiaodong He | Jianshu Chen | Hamid Palangi | Xinying Song | Jianfeng Gao | Xiaodong He | Jianshu Chen | L. Deng | R. Ward | Xinying Song | Yelong Shen | H. Palangi | Hamid Palangi
[1] Y. Nesterov. A method for solving the convex programming problem with convergence rate O(1/k^2) , 1983 .
[2] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[3] Mohamed I. Elmasry,et al. Analysis of the correlation structure for a neural predictive model with application to speech recognition , 1994, Neural Networks.
[4] Anthony J. Robinson,et al. An application of recurrent nets to phone probability estimation , 1994, IEEE Trans. Neural Networks.
[5] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[6] Thomas Hofmann,et al. Probabilistic Latent Semantic Analysis , 1999, UAI.
[7] Jürgen Schmidhuber,et al. Learning to Forget: Continual Prediction with LSTM , 2000, Neural Computation.
[8] Jaana Kekäläinen,et al. IR evaluation methods for retrieving highly relevant documents , 2000, SIGIR '00.
[9] Jürgen Schmidhuber,et al. Learning Precise Timing with LSTM Recurrent Networks , 2003, J. Mach. Learn. Res..
[10] G. Miller. Learning to Forget , 2004, Science.
[11] Jason Weston,et al. A unified architecture for natural language processing: deep neural networks with multitask learning , 2008, ICML '08.
[12] Wei Yuan,et al. Smoothing clickthrough data for web search ranking , 2009, SIGIR.
[13] Petr Sojka,et al. Software Framework for Topic Modelling with Large Corpora , 2010 .
[14] Lukás Burget,et al. Recurrent neural network based language model , 2010, INTERSPEECH.
[15] Dong Yu,et al. Large vocabulary continuous speech recognition with context-dependent DBN-HMMS , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[16] Dong Yu,et al. Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP] , 2011, IEEE Signal Processing Magazine.
[17] Jianfeng Gao,et al. Clickthrough-based latent semantic models for web search , 2011, SIGIR.
[18] Jeffrey Pennington,et al. Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions , 2011, EMNLP.
[19] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[20] Dong Yu,et al. Scalable stacking and learning for building deep architectures , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[21] Dong Yu,et al. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[22] Alex Graves,et al. Sequence Transduction with Recurrent Neural Networks , 2012, ArXiv.
[23] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[24] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[25] Razvan Pascanu,et al. On the difficulty of training recurrent neural networks , 2012, ICML.
[26] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[27] Jianshu Chen,et al. A Primal-Dual Method for Training Recurrent Neural Networks Constrained by the Echo-State Property , 2013 .
[28] Geoffrey E. Hinton,et al. On the importance of initialization and momentum in deep learning , 2013, ICML.
[29] Yoshua Bengio,et al. Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding , 2013, INTERSPEECH.
[30] Razvan Pascanu,et al. Advances in optimizing recurrent networks , 2012, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[31] Larry P. Heck,et al. Learning deep structured semantic models for web search using clickthrough data , 2013, CIKM.
[32] Andrew W. Senior,et al. Long short-term memory recurrent neural network architectures for large scale acoustic modeling , 2014, INTERSPEECH.
[33] Jianfeng Gao,et al. Modeling Interestingness with Deep Neural Networks , 2014, EMNLP.
[34] Phil Blunsom,et al. A Convolutional Neural Network for Modelling Sentences , 2014, ACL.
[35] Jianfeng Gao,et al. Learning Continuous Phrase Representations for Translation Modeling , 2014, ACL.
[36] Phil Blunsom,et al. Multilingual Models for Compositional Distributed Semantics , 2014, ACL.
[37] Li Deng,et al. Sequence classification using the high-level features extracted from deep neural networks , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[38] Yelong Shen,et al. A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval , 2014, CIKM.
[39] Hang Li,et al. Convolutional Neural Network Architectures for Matching Natural Language Sentences , 2014, NIPS.
[40] Yoshua Bengio,et al. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , 2014, ArXiv.
[41] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[42] Ming Zhou,et al. Bilingually-constrained Phrase Embeddings for Machine Translation , 2014, ACL.
[43] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[44] Sanja Fidler,et al. Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[45] Fei-Fei Li,et al. Visualizing and Understanding Recurrent Networks , 2015, ArXiv.
[46] Sanja Fidler,et al. Skip-Thought Vectors , 2015, NIPS.
[47] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[48] Jaana Kekäläinen,et al. IR evaluation methods for retrieving highly relevant documents , 2000, SIGIR Forum.
[49] IEEE/ACM Transactions on Audio, Speech, and Language Processing Edics , 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.