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Task-Oriented Parsing (TOP) enables conversational assistants to interpret user commands expressed in natural language, transforming them into structured outputs that combine elements of both natural language and intent/slot tags.
Language models are few-shot learners
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Low-resource domain adaptation for compositional task-oriented semantic parsing
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Nearest neighbor machine translation
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Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding
Grégoire Mesnil, Xiaodong He, Li Deng, and Yoshua Bengio. 2013 · 2013
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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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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
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Coarse-to-fine decoding for neural semantic parsing
Li Dong and Mirella Lapata. 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
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Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
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Program synthesis and semantic parsing with learned code idioms
Eui Chul Shin, Miltiadis Allamanis, Marc Brockschmidt, and Alex Polozov. 2019 · 2019
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Retrieval augmented language model pre-training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Mingwei Chang. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J Liu, et al. 2020 · 2020
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021 · 2021
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Low-resource task-oriented semantic parsing via intrinsic modeling
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Towards a unified view of parameter-efficient transfer learning
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Nearest neighbor machine translation
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The power of scale for parameter-efficient prompt tuning
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Semantic parsing in task-oriented dialog with recursive insertion-based encoder
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Bloom: A 176b-parameter open-access multilingual language model
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Nearest neighbor zero-shot inference
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Dialog2api: Task-oriented dialogue with api description and example programs
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Structured prediction as translation between augmented natural languages
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Constrained language models yield few-shot semantic parsers
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Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation
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Improving language models by retrieving from trillions of tokens
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Large language models are few (1)-shot table reasoners
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Wenhu Chen, Xueguang Ma, Xinyi Wang, and William W. Cohen. 2022 · 2022
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Transformers learn in-context by gradient descent
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