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An indispensable component in task-oriented dialogue systems is the dialogue state tracker, which keeps track of users' intentions in the course of conversation.
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
Earlier work this paper cites.
Partially observable Markov decision processes for spoken dialog systems
Jason D Williams and Steve Young. 2007 · 2007
Earlier work this paper cites.
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
Blaise Thomson and Steve Young. 2010 · 2010
Earlier work this paper cites.
A simple and generic belief tracking mechanism for the dialog state tracking challenge: On the believability of observed information. In Proceedings of the SIGDIAL 2013 Conference . 423–432
Zhuoran Wang and Oliver Lemon. 2013 · 2013
Earlier work this paper cites.
Word-based dialog state tracking with recurrent neural networks. In Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) . 292–299
Matthew Henderson, Blaise Thomson, and Steve Young. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Web-style ranking and SLU combination for dialog state tracking. In Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) . 282–291
Jason D Williams. 2014 · 2014
Earlier work this paper cites.
Generating sentences from a continuous space
Samuel R Bowman, Luke Vilnis, Oriol Vinyals, Andrew M Dai, Rafal Jozefowicz, and Samy Bengio. 2015 · 2015
Earlier work this paper cites.
Machine learning for dialog state tracking: A review
Matthew Henderson. 2015 · 2015
Earlier work this paper cites.
Multi-domain Dialog State Tracking using Recurrent Neural Networks. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) . 794–799
Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, and Steve Young. 2015 · 2015
Earlier work this paper cites.
Lukas Zilka and Filip Jurcicek. 2015 · 2015
Earlier work this paper cites.
Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016 · 2016
Earlier work this paper cites.
Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition . 770–778
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Earlier work this paper cites.
The dialog state tracking challenge series: A review
Jason Williams, Antoine Raux, and Matthew Henderson. 2016 · 2016
Earlier work this paper cites.
A survey on dialogue systems: Recent advances and new frontiers
Hongshen Chen, Xiaorui Liu, Dawei Yin, and Jiliang Tang. 2017 · 2017
Earlier work this paper cites.
Neural Belief Tracker: Data-Driven Dialogue State Tracking. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 1777–1788
Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson, and Steve Young. 2017 · 2017
Earlier work this paper cites.
Scalable multi-domain dialogue state tracking. In 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) . IEEE, 561–568
Abhinav Rastogi, Dilek Hakkani-Tür, and Larry Heck. 2017 · 2017
Earlier work this paper cites.
Attention is all you need. In Advances in neural information processing systems . 5998–6008
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2017 · 2017
Earlier work this paper cites.
A network-based end-to-end trainable task-oriented dialogue system. In 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017-Proceedings of Conference , Vol. 1. 438–449
TH Wen, D Vandyke, N Mrkšíc, M Gašíc, LM Rojas-Barahona, PH Su, S Ultes, and S Young. 2017 · 2017
Earlier work this paper cites.
MultiWOZ-A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . 5016–5026
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gasic. 2018 · 2018
Cited alongside, same era.
Neural reading comprehension and beyond
Danqi Chen. 2018 · 2018
Cited alongside, same era.
Toward scalable neural dialogue state tracking model
Elnaz Nouri and Ehsan Hosseini-Asl. 2018 · 2018
Cited alongside, same era.
Multi-task Learning for Joint Language Understanding and Dialogue State Tracking. In Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue . 376–384
Abhinav Rastogi, Raghav Gupta, and Dilek Hakkani-Tur. 2018 · 2018
Cited alongside, same era.
Towards Universal Dialogue State Tracking. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . 2780–2786
Deep Reinforcement Learning for On-line Dialogue State Tracking
Zhi Chen, Lu Chen, Xiang Zhou, and Kai Yu. 2020b · 2020
Later among the works it cites.
A Survey on Dialog Management: Recent Advances and Challenges
Yinpei Dai, Huihua Yu, Yixuan Jiang, Chengguang Tang, Yongbin Li, and Jian Sun. 2020 · 2020
Later among the works it cites.
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
Shuyang Gao, Sanchit Agarwal, Tagyoung Chung, Di Jin, and Dilek Hakkani-Tur. 2020 · 2020
Later among the works it cites.
Goal-oriented multi-task bert-based dialogue state tracker
Pavel Gulyaev, Eugenia Elistratova, Vasily Konovalov, Yuri Kuratov, Leonid Pugachev, and Mikhail Burtsev. 2020 · 2020
Later among the works it cites.
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Liliang Ren, Kaige Xie, Lu Chen, and Kai Yu. 2018 · 2018
Cited alongside, same era.
An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 1448–1457
Puyang Xu and Qi Hu. 2018 · 2018
Cited alongside, same era.
Global-locally self-attentive encoder for dialogue state tracking. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 1458–1467
Victor Zhong, Caiming Xiong, and Richard Socher. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) . 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Multiwoz 2.1: Multi-domain dialogue state corrections and state tracking baselines
Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyang Gao, and Dilek Hakkani-Tür. 2019 · 2019
Cited alongside, same era.
Neural Approaches to Conversational AI
Jianfeng Gao, Michel Galley, and Lihong Li. 2019a · 2019
Cited alongside, same era.
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . 5478–5483
Hwaran Lee, Jinsik Lee, and Tae-Yoon Kim. 2019 · 2019
Cited alongside, same era.
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 2019
Cited alongside, same era.
End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 583–592
Donghoon Ham, Jeong-Gwan Lee, Youngsoo Jang, and Kee-Eung Kim. 2020 · 2020
Later among the works it cites.
TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking
Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, and Milica Gašić. 2020 · 2020
Later among the works it cites.
A simple language model for task-oriented dialogue
Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, and Richard Socher. 2020 · 2020
Later among the works it cites.
SAS: Dialogue State Tracking via Slot Attention and Slot Information Sharing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 6366–6375
Jiaying Hu, Yan Yang, Chencai Chen, Zhou Yu, et al · 2020
Later among the works it cites.
Meta-Reinforced Multi-Domain State Generator for Dialogue Systems. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 7109–7118
Yi Huang, Junlan Feng, Min Hu, Xiaoting Wu, Xiaoyu Du, and Shuo Ma. 2020 · 2020
Later among the works it cites.
Efficient Dialogue State Tracking by Selectively Overwriting Memory. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 567–582
Sungdong Kim, Sohee Yang, Gyuwan Kim, and Sang-Woo Lee. 2020a · 2020
Later among the works it cites.
MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, and Pascale Fung. 2020 · 2020
Later among the works it cites.
Multimodal Dialogue State Tracking By QA Approach with Data Augmentation
Xiangyang Mou, Brandyn Sigouin, Ian Steenstra, and Hui Su. 2020 · 2020
Later among the works it cites.
Dialogue State Tracking with Explicit Slot Connection Modeling. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 34–40
Yawen Ouyang, Moxin Chen, Xinyu Dai, Yinggong Zhao, Shujian Huang, and CHEN Jiajun. 2020 · 2020
Later among the works it cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
Later among the works it cites.
A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 6322–6333
Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu, and Jie Zhou. 2020 · 2020
Later among the works it cites.
Dialogue State Tracking with Pretrained Encoder for Multi-domain Trask-oriented Dialogue Systems
Dingmin Wang, Chenghua Lin, Li Zhong, and Kam-Fai Wong. 2020 · 2020
Later among the works it cites.
Tod-bert: Pre-trained natural language understanding for task-oriented dialogues
Chien-Sheng Wu, Steven Hoi, Richard Socher, and Caiming Xiong. 2020 · 2020
Later among the works it cites.
Context-Sensitive Generation Network for Handing Unknown Slot Values in Dialogue State Tracking
Puhai Yang, Heyan Huang, and Xian-Ling Mao. 2020 · 2020
Later among the works it cites.
Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
Su Zhu, Jieyu Li, Lu Chen, and Kai Yu. 2020 · 2020
Later among the works it cites.