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This paper summarizes our work on the first track of the ninth Dialog System Technology Challenge (DSTC 9), "Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access".
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; Levy, O.; Lewis, M.; Zettlemoyer, L.; and Stoyanov, V. 2019b · 1907
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Sentence-BERT: Sentence Embeddings Using Siamese BERT-Networks
Reimers, N.; and Gurevych, I. 2019 · 1908
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CTRL: A Conditional Transformer Language Model for Controllable Generation
Keskar, N. S.; McCann, B.; Varshney, L. R.; Xiong, C.; and Socher, R. 2019 · 1909
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HuggingFace’s Transformers: State-of-the-art Natural Language Processing
Wolf, T.; Debut, L.; Sanh, V.; Chaumond, J.; Delangue, C.; Moi, A.; Cistac, P.; Rault, T.; Louf, R.; Funtowicz, M.; Davison, J.; Shleifer, S.; von Platen, P.; Ma, C.; Jernite, Y.; Plu, J.; Xu, C.; Scao, T. L.; Gugger, S.; Drame, M.; Lhoest, Q.; and Rush, A. M. 2019 · 1910
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Distance Metric Learning for Large Margin Nearest Neighbor Classification
Weinberger, K. Q.; and Saul, L. K. 2009 · 2009
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Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition
Peter, J.-T.; Beck, E.; and Ney, H. 2018 · 2015
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An Overview of Multi-Task Learning in Deep Neural Networks
Ruder, S. 2017 · 2017
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MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
Budzianowski, P.; Wen, T.-H.; Tseng, B.-H.; Casanueva, I.; Ultes, S.; Ramadan, O.; and Gašić, M. 2018 · 2018
Earlier work this paper cites.
Wizard of Wikipedia: Knowledge-Powered Conversational Agents
Dinan, E.; Roller, S.; Shuster, K.; Fan, A.; Auli, M.; and Weston, J. 2018 · 2018
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A Knowledge-Grounded Neural Conversation Model
Ghazvininejad, M.; Brockett, C.; Chang, M.-W.; Dolan, B.; Gao, J.; Yih, W.-t.; and Galley, M. 2018 · 2018
Cited alongside, same era.
Towards Exploiting Background Knowledge for Building Conversation Systems
Moghe, N.; Arora, S.; Banerjee, S.; and Khapra, M. M. 2018 · 2018
Cited alongside, same era.
Hello, It’s GPT-2 – How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems
Budzianowski, P.; and Vulić, I. 2019 · 2019
Cited alongside, same era.
BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
Cited alongside, same era.
Billion-Scale Similarity Search with GPUs
Johnson, J.; Douze, M.; and Jegou, H. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
REALM: Retrieval-Augmented Language Model Pre-Training
Guu, K.; Lee, K.; Tung, Z.; Pasupat, P.; and Chang, M.-W. 2020 · 2020
Later among the works it cites.
End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems Using GPT-2
Ham, D.; Lee, J.-G.; Jang, Y.; and Kim, K.-E. 2020 · 2020
Later among the works it cites.
The Curious Case of Neural Text Degeneration
Holtzman, A.; Buys, J.; Du, L.; Forbes, M.; and Choi, Y. 2020 · 2020
Later among the works it cites.
Dense Passage Retrieval for Open-Domain Question Answering
Karpukhin, V.; Oğuz, B.; Min, S.; Lewis, P.; Wu, L.; Edunov, S.; Chen, D.; and Yih, W.-t. 2020 · 2020
Later among the works it cites.
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Kim, B.; Ahn, J.; and Kim, G. 2020 · 2020
Later among the works it cites.
Beyond Domain APIs: Task-Oriented Conversational Modeling with Unstructured Knowledge Access
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Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; and Sutskever, I. 2019 · 2019
Cited alongside, same era.
MultiWOZ 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Baselines
Eric, M.; Goel, R.; Paul, S.; Kumar, A.; Sethi, A.; Ku, P.; Goyal, A. K.; Agarwal, S.; Gao, S.; and Hakkani-Tur, D. 2020 · 2020
Cited alongside, same era.
Overview of the Ninth Dialog System Technology Challenge: DSTC9
Gunasekara, C.; Kim, S.; D’Haro, L. F.; Rastogi, A.; Chen, Y.-N.; Eric, M.; Hedayatnia, B.; Gopalakrishnan, K.; Liu, Y.; Huang, C.-W.; Hakkani-Tür, D.; Li, J.; Zhu, Q.; Luo, L.; Liden, L.; Huang, K.; Shayandeh, S.; Liang, R.; Peng, B.; Zhang, Z.; Shukla, S.; Huang, M.; Gao, J.; Mehri, S.; Feng, Y.; Gordon, C.; Alavi, S. H.; Traum, D.; Eskenazi, M.; Beirami, A.; Eunjoon; Cho; Crook, P. A.; De, A.; Geramifard, A.; Kottur, S.; Moon, S.; Poddar, S.; and Subba, R. 2020 · 2020
Cited alongside, same era.
BART: Denoising Sequence-to-Sequence Pre-Training for Natural Language Generation, Translation, and Comprehension
Lewis, M.; Liu, Y.; Goyal, N.; Ghazvininejad, M.; Mohamed, A.; Levy, O.; Stoyanov, V.; and Zettlemoyer, L. 2020a
Cited in the paper.
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Lewis, P.; Perez, E.; Piktus, A.; Petroni, F.; Karpukhin, V.; Goyal, N.; Küttler, H.; Lewis, M.; Yih, W.-t.; Rocktäschel, T.; Riedel, S.; and Kiela, D. 2020b
Cited in the paper.
Multi-Task Deep Neural Networks for Natural Language Understanding
Liu, X.; He, P.; Chen, W.; and Gao, J. 2019a
Cited in the paper.
Kim, S.; Eric, M.; Gopalakrishnan, K.; Hedayatnia, B.; Liu, Y.; and Hakkani-Tur, D. 2020 · 2020
Later among the works it cites.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Raffel, C.; Shazeer, N.; Roberts, A.; Lee, K.; Narang, S.; Matena, M.; Zhou, Y.; Li, W.; and Liu, P. J. 2020 · 2020
Later among the works it cites.
Knowledge-Grounded Dialogue Generation with Pre-Trained Language Models
Zhao, X.; Wu, W.; Xu, C.; Tao, C.; Zhao, D.; and Yan, R. 2020 · 2020
Later among the works it cites.