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Task-oriented dialogue systems often assist users with personal or confidential matters.
Data augmentation with atomic templates for spoken language understanding
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Huggingface’s transformers: State-of-the-art natural language processing
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Unsupervised dual paraphrasing for two-stage semantic parsing
Ruisheng Cao, Su Zhu, Chenyu Yang, Chen Liu, Rao Ma, Yanbin Zhao, Lu Chen, and Kai Yu. 2020 · 2005
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Scanning electronic documents for personally identifiable information
Tuomas Aura, Thomas A. Kuhn, and Michael Roe. 2006 · 2006
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Our data, ourselves: Privacy via distributed noise generation
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Grounded adaptation for zero-shot executable semantic parsing
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Active Learning
Burr Settles. 2012 · 2012
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Pomdp-based statistical spoken dialog systems: A review
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De-identification of address, date, and alphanumeric identifiers in narrative clinical reports
Mehmet Kayaalp, Allen C Browne, Zeyno A Dodd, Pamela Sagan, and Clement J McDonald. 2014 · 2014
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The composition theorem for differential privacy
Peter Kairouz, Sewoong Oh, and Pramod Viswanath. 2015 · 2015
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Building a semantic parser overnight
Yushi Wang, Jonathan Berant, and Percy Liang. 2015 · 2015
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Deep learning with differential privacy
Martin Abadi, Andy Chu, Ian Goodfellow, H Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang. 2016 · 2016
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Rényi differential privacy
Ilya Mironov. 2017 · 2017
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Cross-domain semantic parsing via paraphrasing
Yu Su and Xifeng Yan. 2017 · 2017
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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
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The secret sharer: Evaluating and testing unintended memorization in neural networks
Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song. 2019 · 2019
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Paraphrase generation for semi-supervised learning in NLU
Eunah Cho, He Xie, and William M. Campbell. 2019 · 2019
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Controlled text generation for data augmentation in intelligent artificial agents
Nikolaos Malandrakis, Minmin Shen, Anuj Goyal, Shuyang Gao, Abhishek Sethi, and Angeliki Metallinou. 2019 · 2019
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Model-based interactive semantic parsing: A unified framework and a text-to-SQL case study
Ziyu Yao, Yu Su, Huan Sun, and Wen-tau Yih. 2019 · 2019
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Task-oriented dialogue as dataflow synthesis
Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, et al. 2020 · 2020
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Conversational semantic parsing for dialog state tracking
Jianpeng Cheng, Devang Agrawal, Héctor Martínez Alonso, Shruti Bhargava, Joris Driesen, Federico Flego, Dain Kaplan, Dimitri Kartsaklis, Lin Li, Dhivya Piraviperumal, Jason D. Williams, Hong Yu, Diarmuid Ó Séaghdha, and Anders Johannsen. 2020 · 2020
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Does learning require memorization? a short tale about a long tail
Vitaly Feldman. 2020 · 2020
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Data-efficient paraphrase generation to bootstrap intent classification and slot labeling for new features in task-oriented dialog systems
Shailza Jolly, Tobias Falke, Caglar Tirkaz, and Daniil Sorokin. 2020 · 2020
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Seqpate: Differentially private text generation via knowledge distillation
Zhiliang Tian, Yingxiu Zhao, Ziyue Huang, Yu-Xiang Wang, Nevin Zhang, and He He. 2021 · 2021
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Transferable dialogue systems and user simulators
Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, and Bill Byrne. 2021 · 2021
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Differentially private fine-tuning of language models
Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, et al. 2021 · 2021
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What does it mean for a language model to preserve privacy?
Hannah Brown, Katherine Lee, FatemehSadat Mireshghallah, R. Shokri, and Florian Tramèr. 2022 · 2022
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Submix: Practical private prediction for large-scale language models
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Learning adaptive language interfaces through decomposition
Siddharth Karamcheti, Dorsa Sadigh, and Percy Liang. 2020 · 2020
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Differentially private language models benefit from public pre-training
Gavin Kerrigan, Dylan Slack, and Jens Tuyls. 2020 · 2020
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On the generalization benefit of noise in stochastic gradient descent
Samuel Smith, Erich Elsen, and Soham De. 2020 · 2020
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An imitation game for learning semantic parsers from user interaction
Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, and Yu Su. 2020 · 2020
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Large-scale differentially private bert
Rohan Anil, Badih Ghazi, Vineet Gupta, Ravi Kumar, and Pasin Manurangsi. 2021 · 2021
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A single example can improve zero-shot data generation
Pavel Burnyshev, Valentin Malykh, Andrey Bout, Ekaterina Artemova, and Irina Piontkovskaya. 2021 · 2021
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Extracting training data from large language models
Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, et al. 2021 · 2021
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Antonio Ginart, Laurens van der Maaten, James Zou, and Chuan Guo. 2022 · 2022
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Exploring the secrets behind the learning difficulty of meaning representations for semantic parsing
Zhenwen Li, Jiaqi Guo, Qian Liu, Jian-Guang Lou, and Tao Xie. 2022 · 2022
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Differentially private language models for secure data sharing
Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schoelkopf, and Mrinmaya Sachan. 2022 · 2022
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Quantifying privacy risks of masked language models using membership inference attacks
Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, and Reza Shokri. 2022a · 2022
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An empirical analysis of memorization in fine-tuned autoregressive language models
Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David Evans, and Taylor Berg-Kirkpatrick. 2022b · 2022
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Data augmentation with paraphrase generation and entity extraction for multimodal dialogue system
Eda Okur, Saurav Sahay, and Lama Nachman. 2022 · 2022
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Memorization without overfitting: Analyzing the training dynamics of large language models
Kushal Tirumala, Aram H Markosyan, Luke Zettlemoyer, and Armen Aghajanyan. 2022 · 2022
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Addressing resource and privacy constraints in semantic parsing through data augmentation
Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, and Benjamin Van Durme. 2022 · 2022
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On the ingredients of an effective zero-shot semantic parser
Pengcheng Yin, John Wieting, Avirup Sil, and Graham Neubig. 2022 · 2022
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Synthetic text generation with differential privacy: A simple and practical recipe
Xiang Yue, Huseyin A Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Huan Sun, David Levitan, and Robert Sim. 2022 · 2022
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Cloze-style data augmentation for few-shot intent recognition
Xin Zhang, Miao Jiang, Honghui Chen, Chonghao Chen, and Jianming Zheng. 2022 · 2022
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Provably confidential language modelling
Xuandong Zhao, Lei Li, and Yu-Xiang Wang. 2022 · 2022
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Online semantic parsing for latency reduction in task-oriented dialogue
Jiawei Zhou, Jason Eisner, Michael Newman, Emmanouil Antonios Platanios, and Sam Thomson. 2022 · 2022
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