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One of the core components of modern spoken dialogue systems is the belief tracker, which estimates the user's goal at every step of the dialogue.
Extracting Information From Spontaneous Speech
Wayne Wang. 1994 · 1994
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A “k hypotheses + other” belief updating model
Dan Bohus and Alex Rudnicky. 2006 · 2006
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Generative and discriminative algorithms for spoken language understanding
Christian Raymond and Giuseppe Ricardi. 2007 · 2007
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Partially observable markov decision processes for spoken dialog systems
Jason D. Williams and Steve Young. 2007 · 2007
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Spoken Language Understanding from Unaligned Data using Discriminative Classification Models
F. Mairesse, M. Gasic, F. Jurcicek, S. Keizer, B. Thomson, K. Yu, and S. Young. 2009 · 2009
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio. 2010 · 2010
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Rectified linear units improve restricted Boltzmann machines
Vinod Nair and Geoffrey E. Hinton. 2010 · 2010
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Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
Blaise Thomson and Steve Young. 2010 · 2010
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The hidden information state model: A practical framework for POMDP-based spoken dialogue management
Steve Young, Milica Gašić, Simon Keizer, François Mairesse, Jost Schatzmann, Blaise Thomson, and Kai Yu. 2010 · 2010
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Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Leon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
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Discriminative Spoken Language Understanding Using Word Confusion Networks
Matthew Henderson, Milica Gašić, Blaise Thomson, Pirros Tsiakoulis, Kai Yu, and Steve Young. 2012 · 2012
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PPDB: The Paraphrase Database
Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2013 · 2013
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Semantic Parsing Using Word Confusion Networks With Conditional Random Fields
Gokhan Tur, Anoop Deoras, and Dilek Hakkani-Tur. 2013 · 2013
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A Simple and Generic Belief Tracking Mechanism for the Dialog State Tracking Challenge: On the believability of observed information
Zhuoran Wang and Oliver Lemon. 2013 · 2013
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The Dialogue State Tracking Challenge
Jason D. Williams, Antoine Raux, Deepak Ramachandran, and Alan W. Black. 2013 · 2013
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A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner, Edward Grefenstette, and Phil Blunsom. 2014 · 2014
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Convolutional Neural Networks for Sentence Classification
Yoon Kim. 2014 · 2014
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Glove: Global Vectors for Word Representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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A study of using syntactic and semantic structures for concept segmentation and labeling
Iman Saleh, Shafiq Joty, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov, Scott Cyphers, and Jim Glass. 2014 · 2014
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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 2014
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The SJTU System for Dialog State Tracking Challenge 2
Kai Sun, Lu Chen, Su Zhu, and Kai Yu. 2014 · 2014
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A new corpus and imitation learning framework for context-dependent semantic parsing
Andreas Vlachos and Stephen Clark. 2014 · 2014
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Web-style ranking and SLU combination for dialog state tracking
Robust dialog state tracking for large ontologies
Franck Dernoncourt, Ji Young Lee, Trung H. Bui, and Hung H. Bui. 2016 · 2016
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Neural dialog state tracker for large ontologies by attention mechanism
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang, and Kee-Eung Kim. 2016 · 2016
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Dialog History Construction with Long-Short Term Memory for Robust Generative Dialog State Tracking
Byung-Jun Lee and Kee-Eung Kim. 2016 · 2016
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Counter-fitting Word Vectors to Linguistic Constraints
Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gašić, Lina Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, and Steve Young. 2016 · 2016
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Spectral decomposition method of dialog state tracking via collective matrix factorization
Julien Perez. 2016 · 2016
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Reasoning about entailment with neural attention
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Jason D. Williams. 2014 · 2014
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Spoken language understanding using long short-term memory neural networks
Kaisheng Yao, Baolin Peng, Yu Zhang, Dong Yu, Geoffrey Zweig, and Yangyang Shi. 2014 · 2014
Cited alongside, same era.
TensorFlow: Large-scale machine learning on heterogeneous systems
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 · 2015
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Convolutional Neural Network Based Semantic Tagging with Entity Embeddings
Asli Celikyilmaz and Dilek Hakkani-Tur. 2015 · 2015
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Training a Natural Language Generator From Unaligned Data
Ondřej Dušek and Filip Jurčíček. 2015 · 2015
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Using recurrent neural networks for slot filling in spoken language understanding
Grégoire Mesnil, Yann Dauphin, Kaisheng Yao, Yoshua Bengio, Li Deng, Dilek Hakkani-Tur, Xiaodong He, Larry Heck, Dong Yu, and Geoffrey Zweig. 2015 · 2015
Cited alongside, same era.
Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomas Kocisky, and Phil Blunsom. 2016 · 2016
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Convolutional Neural Networks for Multi-topic Dialog State Tracking
Hongjie Shi, Takashi Ushio, Mitsuru Endo, Katsuyoshi Yamagami, and Noriaki Horii. 2016 · 2016
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Recurrent Polynomial Network for Dialogue State Tracking
Kai Sun, Qizhe Xie, and Kai Yu. 2016 · 2016
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Bi-directional recurrent neural network with ranking loss for spoken language understanding
Ngoc Thang Vu, Pankaj Gupta, Heike Adel, and Hinrich Schütze. 2016 · 2016
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The Dialog State Tracking Challenge series: A review
Jason D. Williams, Antoine Raux, and Matthew Henderson. 2016 · 2016
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A Joint Model of Intent Determination and Slot Filling for Spoken Language Understanding
Xiaodong Zhang and Houfeng Wang. 2016 · 2016
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Gated End-to-End Memory Networks
Fei Liu and Julien Perez. 2017 · 2017
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Dialog state tracking, a machine reading approach using Memory Network
Julien Perez and Fei Liu. 2017 · 2017
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Hybrid Dialog State Tracker with ASR Features
Miroslav Vodolán, Rudolf Kadlec, and Jan Kleindienst. 2017 · 2017
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Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules
Ivan Vulić, Nikola Mrkšić, Roi Reichart, Diarmuid Ó Séaghdha, Steve Young, and Anna Korhonen. 2017 · 2017
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A network-based end-to-end trainable task-oriented dialogue system
Tsung-Hsien Wen, David Vandyke, Nikola Mrkšić, Milica Gašić, Lina M. Rojas-Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young. 2017 · 2017
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