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Task-oriented conversational modeling with unstructured knowledge access, as track 1 of the 9th Dialogue System Technology Challenges (DSTC 9), requests to build a system to generate response given dialogue history and knowledge access.
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DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
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Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access
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Auto-Encoding Variational Bayes
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Building end-to-end dialogue systems using generative hierarchical neural network models
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Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
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Get To The Point: Summarization with Pointer-Generator Networks
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Attention is All you Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
Zhao, T.; Zhao, R.; and Eskenazi, M. 2017 · 2017
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MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
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Unified language model pre-training for natural language understanding and generation
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Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots
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Language models are unsupervised multitask learners
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A document-grounded matching network for response selection in retrieval-based chatbots
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ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
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Wizard of Wikipedia: Knowledge-Powered Conversational Agents
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Improving language understanding by generative pre-training
Radford, A.; Narasimhan, K.; Salimans, T.; and Sutskever, I. 2018 · 2018
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An ensemble of retrieval-based and generation-based human-computer conversation systems
Song, Y.; Li, C.-T.; Nie, J.-Y.; Zhang, M.; Zhao, D.; and Yan, R. 2018 · 2018
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Coupled context modeling for deep chit-chat: towards conversations between human and computer
Yan, R.; and Zhao, D. 2018 · 2018
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Personalizing Dialogue Agents: I have a dog, do you have pets too?
Zhang, S.; Dinan, E.; Urbanek, J.; Szlam, A.; Kiela, D.; and Weston, J. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
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PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
Bao, S.; He, H.; Wang, F.; Wu, H.; and Wang, H. 2020a
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MultiWOZ 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Baselines
Eric, M.; Goel, R.; Paul, S.; Sethi, A.; Agarwal, S.; Gao, S.; Kumar, A.; Goyal, A. K.; Ku, P.; and Hakkani-Tür, D. 2020 · 2020
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Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots
Gu, J.-C.; Ling, Z.; Liu, Q.; Chen, Z.; and Zhu, X. 2020 · 2020
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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
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spaCy: Industrial-strength Natural Language Processing in Python
Honnibal, M.; Montani, I.; Van Landeghem, S.; and Boyd, A. 2020 · 2020
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BERTScore: Evaluating Text Generation with BERT
Zhang, T.; Kishore, V.; Wu, F.; Weinberger, K. Q.; and Artzi, Y. 2020 · 2020
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Knowledge-Grounded Dialogue Generation with Pre-trained Language Models
Zhao, X.; Wu, W.; Xu, C.; Tao, C.; Zhao, D.; and Yan, R. 2020 · 2020
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