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Task-oriented semantic parsing is a critical component of virtual assistants, which is responsible for understanding the user's intents (set reminder, play music, etc.).
Roberta: A robustly optimized BERT pretraining approach
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Neural semantic parsing in low-resource settings with back-translation and meta-learning
Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, and Daxin Jiang. 2019 · 1909
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Dropout: A simple way to prevent neural networks from overfitting
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Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding
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Adam: A method for stochastic optimization
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Human-level concept learning through probabilistic program induction
Brenden M. Lake, Ruslan Salakhutdinov, and Joshua B. Tenenbaum. 2015 · 2015
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Domain adaptation of recurrent neural networks for natural language understanding
Aaron Jaech, Larry Heck, and Mari Ostendorf. 2016 · 2016
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Data recombination for neural semantic parsing
Robin Jia and Percy Liang. 2016 · 2016
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Attention-based recurrent neural network models for joint intent detection and slot filling
Bing Liu and Ian Lane. 2016 · 2016
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Towards zero-shot frame semantic parsing for domain scaling
Ankur Bapna, Gökhan Tür, Dilek Z. Hakkani-Tür, and Larry Heck. 2017 · 2017
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Transfer learning for neural semantic parsing
Xing Fan, Emilio Monti, Lambert Mathias, and Markus Dreyer. 2017 · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017 · 2017
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Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Antreas Antoniou, Harrison Edwards, and Amos Storkey. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Investigating meta-learning algorithms for low-resource natural language understanding tasks
Zi-Yi Dou, Keyi Yu, and Antonios Anastasopoulos. 2019 · 2019
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Zero-shot adaptive transfer for conversational language understanding
Sungjin Lee and Rahul Jha. 2019 · 2019
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Meta-learning for low-resource natural language generation in task-oriented dialogue systems
Fei Mi, Minlie Huang, Jiyong Zhang, and Boi Faltings. 2019 · 2019
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fairseq: A fast, extensible toolkit for sequence modeling
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Alice Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, Alexandre Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, Maël Primet, and Joseph Dureau. 2018 · 2018
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Improving semantic parsing for task oriented dialog
Arash Einolghozati, Panupong Pasupat, Sonal Gupta, Rushin Shah, Mrinal Mohit, Mike Lewis, and Luke Zettlemoyer. 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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Meta-learning for low-resource neural machine translation
Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, and Kyunghyun Cho. 2018 · 2018
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Semantic parsing for task oriented dialog using hierarchical representations
Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, and Mike Lewis. 2018 · 2018
Cited alongside, same era.
On first-order meta-learning algorithms
Alex Nichol, Joshua Achiam, and John Schulman. 2018 · 2018
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Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
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Domain adaptive dialog generation via meta learning
Kun Qian and Zhou Yu. 2019 · 2019
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Meta-learning with implicit gradients
Aravind Rajeswaran, Chelsea Finn, Sham M Kakade, and Sergey Levine. 2019 · 2019
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Conversational semantic parsing
Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Michael Haeger, Haoran Li, Yashar Mehdad, Veselin Stoyanov, Anuj Kumar, Mike Lewis, and Sonal Gupta. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Don’t parse, generate! a sequence to sequence architecture for task-oriented semantic parsing
Subendhu Rongali, Luca Soldaini, Emilio Monti, and Wael Hamza. 2020 · 2020
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