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We introduce Span-ConveRT, a light-weight model for dialog slot-filling which frames the task as a turn-based span extraction task.
BERT for joint intent classification and slot filling
Qian Chen, Zhu Zhuo, and Wen Wang. 2019 · 1902
Earlier work this paper cites.
Unsupervised data augmentation
Qizhe Xie, Zihang Dai, Eduard H. Hovy, Minh-Thang Luong, and Quoc V. Le. 2019 · 1904
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RoBERTa: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
Towards scalable multi-domain conversational agents: The schema-guided dialogue dataset
Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, and Pranav Khaitan. 2019 · 1909
Earlier work this paper cites.
ConveRT: Efficient and accurate conversational representations from transformers
Matthew Henderson, Iñigo Casanueva, Nikola Mrkšić, Pei-Hao Su, Tsung-Hsien Wen, and Ivan Vulić. 2019a · 1911
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The ATIS Spoken Language Systems Pilot Corpus
Charles T. Hemphill, John J. Godfrey, and George R. Doddington. 1990 · 1990
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Talking to machines (statistically speaking)
Steve J. Young. 2002 · 2002
Earlier work this paper cites.
Efficient intent detection with dual sentence encoders
Iñigo Casanueva, Tadas Temcinas, Daniela Gerz, Matthew Henderson, and Ivan Vulić. 2020 · 2003
Earlier work this paper cites.
LET’s GO: Improving spoken dialog systems for the elderly and non-natives
Antoine Raux, Brian Langner, Alan W. Black, and Maxine Eskénazi. 2003 · 2003
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DIET: Lightweight language understanding for dialogue systems
Tanja Bunk, Daksh Varshneya, Vladimir Vlasov, and Alan Nichol. 2020 · 2004
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What is left to be understood in atis?
Gökhan Tür, Dilek Z. Hakkani-Tür, and Larry P. Heck. 2010 · 2010
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Still talking to machines (cognitively speaking)
Steve Young. 2010 · 2010
Earlier work this paper cites.
A critical analysis of two statistical spoken dialog systems in public use
Jason Williams. 2012 · 2012
Cited alongside, same era.
On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. 2013 · 2013
Cited alongside, same era.
Spoken language understanding for natural interaction: The siri experience
Jerome R. Bellegarda. 2014 · 2014
Cited alongside, same era.
Web-style ranking and SLU combination for dialog state tracking
Jason D. Williams. 2014 · 2014
Cited alongside, same era.
Gaussian error linear units (GELUs)
Dan Hendrycks and Kevin Gimpel. 2016 · 2016
Cited alongside, same era.
Domain adaptation of recurrent neural networks for natural language understanding
Spoken conversational AI in video games: Emotional dialogue management increases user engagement
Jamie Fraser, Ioannis Papaioannou, and Oliver Lemon. 2018 · 2018
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Slot-gated modeling for joint slot filling and intent prediction
Chih-Wen Goo, Guang Gao, Yun-Kai Hsu, Chih-Li Huo, Tsung-Chieh Chen, Keng-Wei Hsu, and Yun-Nung Chen. 2018 · 2018
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Fast and scalable expansion of natural language understanding functionality for intelligent agents
Anuj Kumar Goyal, Angeliki Metallinou, and Spyros Matsoukas. 2018 · 2018
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Bag of experts architectures for model reuse in conversational language understanding
Rahul Jha, Alex Marin, Suvamsh Shivaprasad, and Imed Zitouni. 2018 · 2018
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Conversational agents in healthcare: A systematic review
Liliana Laranjo, Adam G. Dunn, Huong Ly Tong, Ahmet Baki Kocaballi, Jessica Chen, Rabia Bashir, Didi Surian, Blanca Gallego, Farah Magrabi, Annie Y.S. Lau, and Enrico Coiera. 2018 · 2018
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Aaron Jaech, Larry P. Heck, and Mari Ostendorf. 2016 · 2016
Cited alongside, same era.
Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
Cited alongside, same era.
End-to-end sequence labeling via bi-directional LSTM-CNNs-CRF
Xuezhe Ma and Eduard Hovy. 2016 · 2016
Cited alongside, same era.
A survey on dialogue systems: Recent advances and new frontiers
Hongshen Chen, Xiaorui Liu, Dawei Yin, and Jiliang Tang. 2017 · 2017
Cited alongside, same era.
Frames: A corpus for adding memory to goal-oriented dialogue systems
Layla El Asri, Hannes Schulz, Shikhar Sharma, Jeremie Zumer, Justin Harris, Emery Fine, Rahul Mehrotra, and Kaheer Suleman. 2017 · 2017
Cited alongside, same era.
MultiWOZ - A large-scale multi-domain wizard-of-oz dataset for task-oriented dialogue modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gašić. 2018 · 2018
Cited alongside, same era.
Alice Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, Alexandre Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, et al. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
Slot tagging for task oriented spoken language understanding in human-to-human conversation scenarios
Kunho Kim, Rahul Jha, Kyle Williams, Alex Marin, and Imed Zitouni. 2019 · 2019
Later among the works it cites.
Pretraining methods for dialog context representation learning
Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao, and Maxine Eskenazi. 2019 · 2019
Later among the works it cites.
Tiancheng Zhao, Kaige Xie, and Maxine Eskénazi. 2019 · 2019
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Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux, and Jason Weston. 2020 · 2020
Closest in time.
Dialogue learning with human teaching and feedback in end-to-end trainable task-oriented dialogue systems
Bing Liu, Gökhan Tür, Dilek Hakkani-Tür, Pararth Shah, and Larry P. Heck. 2018 · 2069
Closest in time.