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This paper introduces the Seventh Dialog System Technology Challenges (DSTC), which use shared datasets to explore the problem of building dialog systems.
Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
G. Doddington · 2002
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METEOR: An automatic metric for mt evaluation with high levels of correlation with human judgments
A. Lavie and A. Agarwal · 2007
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Data-driven response generation in social media
A. Ritter, C. Cherry, and W. B. Dolan · 2011
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The dialog state tracking challenge
J. Williams, A. Raux, D. Ramachandran, and A. Black · 2013
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The third dialog state tracking challenge
M. Henderson, B. Thomson, and J. D. Williams · 2014
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VQA: Visual Question Answering
S. Antol, A. Agrawal, J. Lu, M. Mitchell, D. Batra, C. L. Zitnick, and D. Parikh · 2015
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The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
R. Lowe, N. Pow, I. Serban, and J. Pineau · 2015
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Neural responding machine for short-text conversation
L. Shang, Z. Lu, and H. Li · 2015
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A neural network approach to context-sensitive generation of conversational responses
A. Sordoni, M. Galley, M. Auli, C. Brockett, Y. Ji, M. Mitchell, J.-Y. Nie, J. Gao, and B. Dolan · 2015
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CIDEr: Consensus-based image description evaluation
R. Vedantam, C. L. Zitnick, and D. Parikh · 2015
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A neural conversational model
O. Vinyals and Q. Le · 2015
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Enhanced lstm for natural language inference
Q. Chen, X. Zhu, Z. Ling, S. Wei, H. Jiang, and D. Inkpen · 2016
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A. Das, S. Kottur, K. Gupta, A. Singh, D. Yadav, J. M. F. Moura, D. Parikh, and D. Batra · 2016
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The fifth dialog state tracking challenge
S. Kim, L. F. D’Haro, R. E. Banchs, J. D. Williams, M. Henderson, and K. Yoshino · 2016
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Hierarchical question-image co-attention for visual question answering
Learning cooperative visual dialog agents with deep reinforcement learning
A. Das, S. Kottur, J. M. Moura, S. Lee, and D. Batra · 2017
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End-to-end conversation modeling track in DSTC6
C. Hori and T. Hori · 2017
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Attention-based multimodal fusion for video description
C. Hori, T. Hori, T.-Y. Lee, Z. Zhang, B. Harsham, J. R. Hershey, T. K. Marks, and K. Sumi · 2017
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The fourth dialog state tracking challenge
S. Kim, L. F. D’Haro, R. E. Banchs, J. D. Williams, and M. Henderson · 2017
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Attention strategies for multi-source sequence-to-sequence learning
J. Libovickỳ and J. Helcl · 2017
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J. Lu, J. Yang, D. Batra, and D. Parikh · 2016
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Building end-to-end dialogue systems using generative hierarchical neural network models
I. V. Serban, A. Sordoni, Y. Bengio, A. Courville, and J. Pineau · 2016
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Hollywood in homes: Crowdsourcing data collection for activity understanding
G. A. Sigurdsson, G. Varol, X. Wang, I. Laptev, A. Farhadi, and A. Gupta · 2016
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The second dialog state tracking challenge
M. Henderson, B. Thomson, and J. D. Williams
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End-to-end audio visual scene-aware dialog using multimodal attention-based video features
C. Hori, H. Alamri, J. Wang, G. Winchern, T. Hori, A. Cherian, T. K. Marks, V. Cartillier, R. G. Lopes, A. Das, et al
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Overview of the sixth dialog system technology challenge: Dstc6
C. Hori, J. Perez, R. Higasinaka, T. Hori, Y.-L. Boureau, M. Inaba, Y. Tsunomori, T. Takahashi, K. Yoshino, and S. Kim
Cited in the paper.
H. Alamri, V. Cartillier, R. G. Lopes, A. Das, J. Wang, I. Essa, D. Batra, D. Parikh, A. Cherian, T. K. Marks, et al · 2018
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A knowledge-grounded neural conversation model
M. Ghazvininejad, C. Brockett, M. Chang, B. Dolan, J. Gao, W. Yih, and M. Galley · 2018
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J. K. Kummerfeld, S. R. Gouravajhala, J. Peper, V. Athreya, C. Gunasekara, J. Ganhotra, S. S. Patel, L. Polymenakos, and W. S. Lasecki · 2018
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