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As the field of Spoken Dialogue Systems and Conversational AI grows, so does the need for tools and environments that abstract away implementation details in order to expedite the development process, lower the barrier of entry to the field, and offer a common test-bed for new ideas.
Agenda-based user simulation for bootstrapping a pomdp dialogue system
Jost Schatzmann, Blaise Thomson, Karl Weilhammer, Hui Ye, and Steve Young · 2007
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Simdialog: A visual game dialog editor
Charles B. Owen, Frank A. Biocca, Corey Bohil, and J. Conley · 2008
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The ravenclaw dialog management framework: Architecture and systems
Dan Bohus and Alexander I. Rudnicky · 2009
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The dialog state tracking challenge
Jason D. Williams, Antoine Raux, Deepak Ramachandran, and Alan W. Black · 2013
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Single-agent vs. multi-agent techniques for concurrent reinforcement learning of negotiation dialogue policies
Kallirroi Georgila, Claire Nelson, and David Traum · 2014
Earlier work this paper cites.
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, Dandelion 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
Earlier work this paper cites.
Towards end-to-end learning for dialog state tracking and management using deep reinforcement learning
Tiancheng Zhao and Maxine Eskénazi · 2016
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Building end-to-end dialogue systems using generative hierarchical neural network models
Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, and Joelle Pineau · 2016
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Squad: 100, 000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang · 2016
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Towards ai-complete question answering: A set of prerequisite toy tasks
Jason Weston, Antoine Bordes, Sumit Chopra, and Tomas Mikolov · 2016
Earlier work this paper cites.
Opendial: A toolkit for developing spoken dialogue systems with probabilistic rules
Pierre Lison and Casey Kennington · 2016
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End-to-end joint learning of natural language understanding and dialogue manager
Xuesong Yang, Yun-Nung Chen, Dilek Hakkani-Tür, Paul Crook, Xiujun Li, Jianfeng Gao, and Li Deng · 2017
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Learning end-to-end goal-oriented dialog
Antoine Bordes, Y-Lan Boureau, and Jason Weston · 2017
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Pydial: A multi-domain statistical dialogue system toolkit
Stefan Ultes, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Dongho Kim, Iñigo Casanueva, Pawel Budzianowski, Nikola Mrksic, Tsung-Hsien Wen, Milica Gasic, and Steve J. Young · 2017
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Parlai: A dialog research software platform
A. H. Miller, W. Feng, A. Fisch, J. Lu, D. Batra, A. Bordes, D. Parikh, and J. Weston · 2017
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Rasa: Open source language understanding and dialogue management
Tom Bocklisch, Joey Faulkner, Nick Pawlowski, and Alan Nichol · 2017
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Adversarial learning of task-oriented neural dialog models
Bing Liu and Ian Lane · 2018
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Deeppavlov: Open-source library for dialogue systems
Mikhail Burtsev, Alexander V. Seliverstov, Rafael Airapetyan, Mikhail Arkhipov, Dilyara Baymurzina, Nickolay Bushkov, Olga Gureenkova, Taras Khakhulin, Yuri Kuratov, Denis Kuznetsov, Alexey Litinsky, Varvara Logacheva, Alexey Lymar, Valentin Malykh, Maxim Petrov, Vadim Polulyakh, Leonid Pugachev, Alexey Sorokin, Maria Vikhreva, and Marat Zaynutdinov · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Multiwoz - A large-scale multi-domain wizard-of-oz dataset for task-oriented dialogue modelling
Pawel Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gasic · 2018
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MOSS: end-to-end dialog system framework with modular supervision
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Iterative policy learning in end-to-end trainable task-oriented neural dialog models
Bing Liu and Ian Lane · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Multi-task learning for joint language understanding and dialogue state tracking
Abhinav Rastogi, Raghav Gupta, and Dilek Hakkani-Tür · 2018
Cited alongside, same era.
End-to-end learning of task-oriented dialogs
Bing Liu and Ian Lane · 2018
Cited alongside, same era.
#metoo alexa: How conversational systems respond to sexual harassment
Amanda Cercas Curry and Verena Rieser · 2018
Cited alongside, same era.
Detecting offensive content in open-domain conversations using two stage semi-supervision
Chandra Khatri, Behnam Hedayatnia, Rahul Goel, Anushree Venkatesh, Raefer Gabriel, and Arindam Mandal · 2018
Cited alongside, same era.
Google cloud
Cited in the paper.
Weixin Liang, Youzhi Tian, Chengcai Chen, and Zhou Yu · 2019
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Nemo: a toolkit for building AI applications using neural modules
Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, Patrice Castonguay, Mariya Popova, Jocelyn Huang, and Jonathan M. Cohen · 2019
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Convlab: Multi-domain end-to-end dialog system platform
Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Zheng Zhang, Yaoqin Zhang, Xiang Li, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, and Jianfeng Gao · 2019
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Collaborative multi-agent dialogue model training via reinforcement learning
Alexandros Papangelis, Yi-Chia Wang, Piero Molino, and Gokhan Tur · 2019
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Ludwig: a type-based declarative deep learning toolbox
Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala · 2019
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Pytorch: An imperative style, high-performance deep learning library, 2019
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al · 2019
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