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In this work, we focus on a more challenging few-shot intent detection scenario where many intents are fine-grained and semantically similar.
Benchmarking natural language understanding services for building conversational agents
Xingkun Liu, Arash Eshghi, Pawel Swietojanski, and Verena Rieser. 2019 · 1903
Earlier work this paper cites.
Data augmentation for spoken language understanding via pretrained language models
Baolin Peng, Chenguang Zhu, Michael Zeng, and Jianfeng Gao. 2020 · 2004
Earlier work this paper cites.
Cg-bert: Conditional text generation with bert for generalized few-shot intent detection
Congying Xia, Chenwei Zhang, Hoang Nguyen, Jiawei Zhang, and Philip Yu. 2020b · 2004
Earlier work this paper cites.
Dialoglue: A natural language understanding benchmark for task-oriented dialogue
Shikib Mehri, Mihail Eric, and Dilek Hakkani-Tur. 2020a · 2009
Earlier work this paper cites.
Example-driven intent prediction with observers
Shikib Mehri, Mihail Eric, and Dilek Hakkani-Tur. 2020b · 2010
Earlier work this paper cites.
What is left to be understood in atis?
Gokhan Tur, Dilek Hakkani-Tür, and Larry Heck. 2010 · 2010
Earlier work this paper cites.
Supervised contrastive learning for pre-trained language model fine-tuning
Beliz Gunel, Jingfei Du, Alexis Conneau, and Ves Stoyanov. 2020 · 2011
Earlier work this paper cites.
Clear: Contrastive learning for sentence representation
Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, and Hao Ma. 2020b · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling. 2013 · 2013
Earlier work this paper cites.
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.
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.
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Cited alongside, same era.
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Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, and Jason Mars. 2019 · 2019
Cited alongside, same era.
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Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Later among the works it cites.
Basket recommendation with multi-intent translation graph neural network
Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen Guo, Kannan Achan, and S Yu Philip. 2020 · 2020
Later among the works it cites.
Gcc: Graph contrastive coding for graph neural network pre-training
Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, and Jie Tang. 2020 · 2020
Later among the works it cites.
Multilingual universal sentence encoder for semantic retrieval
Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernandez Abrego, Steve Yuan, Chris Tar, Yun-hsuan Sung, et al. 2020 · 2020
Later among the works it cites.
Graph contrastive learning with augmentations
Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, and Yang Shen. 2020 · 2020
Later among the works it cites.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited in the paper.
Augmenting sequential recommendation with pseudo-prior items via reversely pre-training transformer
Zhiwei Liu, Ziwei Fan, Yu Wang, and Philip S Yu. 2021c
Cited in the paper.
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