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Natural language generation (NLG) is an essential component of task-oriented dialog systems.
Learning and evaluating general linguistic intelligence
Dani Yogatama, Cyprien de Masson d’Autume, Jerome Connor, Tomas Kocisky, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, et al. 2019 · 1901
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Continual learning with tiny episodic memories
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Bleu: a method for automatic evaluation of machine translation
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Few-shot natural language generation for task-oriented dialog
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Recall and learn: Fine-tuning deep pretrained language models with less forgetting
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Dropout as an implicit gating mechanism for continual learning
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Herding dynamical weights to learn
Max Welling. 2009 · 2009
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icarl: Incremental classifier and representation learning
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Improving neural networks by preventing co-adaptation of feature detectors
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling. 2013 · 2013
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015 · 2015
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Semantically conditioned lstm-based natural language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gasic, Nikola Mrkšić, Pei-Hao Su, David Vandyke, and Steve Young. 2015c · 2015
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Learning end-to-end goal-oriented dialog
Antoine Bordes, Y-Lan Boureau, and Jason Weston. 2016 · 2016
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How transferable are neural networks in nlp applications?
Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, and Zhi Jin. 2016 · 2016
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Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell. 2016 · 2016
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Prioritized experience replay
Tom Schaul, John Quan, Ioannis Antonoglou, and David Silver. 2016 · 2016
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Hindsight experience replay
Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, OpenAI Pieter Abbeel, and Wojciech Zaremba. 2017 · 2017
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Does an lstm forget more than a cnn? an empirical study of catastrophic forgetting in nlp
Gaurav Arora, Afshin Rahimi, and Timothy Baldwin. 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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Learning a unified classifier incrementally via rebalancing
Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, and Dahua Lin. 2019 · 2019
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Continual learning for sentence representations using conceptors
Tianlin Liu, Lyle Ungar, and João Sedoc. 2019 · 2019
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Continuous learning in single-incremental-task scenarios
Davide Maltoni and Vincenzo Lomonaco. 2019 · 2019
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Meta-learning for low-resource natural language generation in task-oriented dialogue systems
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al. 2017 · 2017
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Toward continual learning for conversational agents
Sungjin Lee. 2017 · 2017
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Learning without forgetting
Zhizhong Li and Derek Hoiem. 2017 · 2017
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Continual learning with deep generative replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim, and Jiwon Kim. 2017 · 2017
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Natural language generation for spoken dialogue system using rnn encoder-decoder networks
Van-Khanh Tran and Le-Minh Nguyen. 2017 · 2017
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Continual learning through synaptic intelligence
Friedemann Zenke, Ben Poole, and Surya Ganguli. 2017 · 2017
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Memory aware synapses: Learning what (not) to forget
Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, and Tinne Tuytelaars. 2018 · 2018
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Fei Mi, Minlie Huang, Jiyong Zhang, and Boi Faltings. 2019 · 2019
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Domain adaptive dialog generation via meta learning
Kun Qian and Zhou Yu. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Adaptive posterior learning: few-shot learning with a surprise-based memory module
Tiago Ramalho and Marta Garnelo. 2019 · 2019
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Scalable recollections for continual lifelong learning
Matthew Riemer, Tim Klinger, Djallel Bouneffouf, and Michele Franceschini. 2019 · 2019
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Domain adaptive inference for neural machine translation
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, and Bill Byrne. 2019 · 2019
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A progressive model to enable continual learning for semantic slot filling
Yilin Shen, Xiangyu Zeng, and Hongxia Jin. 2019 · 2019
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Unsupervised pretraining for neural machine translation using elastic weight consolidation
Dusan Varis and Ondřej Bojar. 2019 · 2019
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Large scale incremental learning
Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, and Yun Fu. 2019 · 2019
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Compositional continual language learning
Yuanpeng Li, Liang Zhao, Kenneth Church, and Mohamed Elhoseiny. 2020 · 2020
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Overcoming catastrophic forgetting during domain adaptation of neural machine translation
Brian Thompson, Jeremy Gwinnup, Huda Khayrallah, Kevin Duh, and Philipp Koehn. 2019 · 2068
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