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Dialogue level quality estimation is vital for optimizing data driven dialogue management.
Survey on evaluation methods for dialogue systems
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Data-driven response generation in social media
Alan Ritter, Colin Cherry, and William B. Dolan. 2011 · 2011
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Modeling and predicting quality in spoken human-computer interaction
Alexander Schmitt, Benjamin Schatz, and Wolfgang Minker. 2011 · 2011
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Spoken Language Understanding: Systems for Extracting Semantic Information from Speech
G. Tur and R. De Mori. 2011 · 2011
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A parameterized and annotated spoken dialog corpus of the cmu let’s go bus information system
Alexander Schmitt, Stefan Ultes, and Wolfgang Minker. 2012 · 2012
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Hybrid speech recognition with deep bidirectional lstm
Alex Graves, Navdeep Jaitly, and Abdel rahman Mohamed. 2013 · 2013
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Causal systems
Jean Jiang Li Tan. 2013 · 2013
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Ordinal regression for interaction quality prediction
L. E. Asri, H. Khouzaimi, R. Laroche, and O. Pietquin. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
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Recurrent Neural Network Interaction Quality Estimation , pages 381–393. Springer Singapore, Singapore
Louisa Pragst, Stefan Ultes, and Wolfgang Minker. 2017 · 2017
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Interaction quality estimation using long short-term memories
Niklas Rach, Wolfgang Minker, and Stefan Ultes. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, and Ray Kurzweil. 2018 · 2018
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Importance of a search strategy in neural dialogue modelling
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Application and evaluation of a conditioned hidden markov model for estimating interaction quality of spoken dialogue systems
Stefan Ultes, Robert ElChab, and Wolfgang Minker. 2014 · 2014
Cited alongside, same era.
Interaction quality: Assessing the quality of ongoing spoken dialog interaction by experts?and how it relates to user satisfaction
Alexander Schmitt and Stefan Ultes. 2015 · 2015
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Pei-hao Su, David Vandyke, Milica Gasic, Dongho Kim, Nikola Mrksic, Tsung-Hsien Wen, and Steve J. Young. 2015 · 2015
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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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Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Alex Kendall, Yarin Gal, and Roberto Cipolla. 2017 · 2017
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Multi-domain conversation quality evaluation via user satisfaction estimation
Praveen Kumar Bodigutla, Lazaros Polymenakos, and Spyros Matsoukas. 2019b
Cited in the paper.
Ilya Kulikov, Alexander H. Miller, Kyunghyun Cho, and Jason Weston. 2018 · 2018
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Evaluation of sentence embeddings in downstream and linguistic probing tasks
Christian S. Perone, Roberto Silveira, and Thomas S. Paula. 2018 · 2018
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Bootstrapping a neural conversational agent with dialogue self-play, crowdsourcing and on-line reinforcement learning
Pararth Shah, Dilek Hakkani-Tür, Bing Liu, and Gokhan Tür. 2018 · 2018
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Sentiment adaptive end-to-end dialog systems
Weiyan Shi and Zhou Yu. 2018 · 2018
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Opentag: Open attribute value extraction from product profiles
Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, and Feifei Li. 2018 · 2018
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
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Improving interaction quality estimation with BiLSTMs and the impact on dialogue policy learning
Stefan Ultes. 2019 · 2019
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