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Knowledge-grounded dialogue is a task of generating an informative response based on both discourse context and external knowledge.
ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons
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Understanding the Difficulty of Training Deep Feedforward Neural Networks
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Learning Phrase Representations Using RNN Encoder-Decoder for Statistical Machine Translation
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Middle Response Scale Options are Inappropriate for Ideal Point Scales
Dev K Dalal, Nathan T Carter, and Christopher J Lake · 2014
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A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C Courville, and Yoshua Bengio · 2015
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Adam: A Method for Stochastic Optimization
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Enriching Word Vectors with Subword Information
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Sequential Neural Models with Stochastic Layers
Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, and Ole Winther · 2016
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Reading Wikipedia to Answer Open-Domain Questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes · 2017
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Classical Structured Prediction Losses for Sequence to Sequence Learning
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Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal Alias Parth Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, and Yoshua Bengio · 2017
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Categorical Reparameterization with Gumbel-Softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2017
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Deep Recurrent Generative Decoder for Abstractive Text Summarization
Piji Li, Wai Lam, Lidong Bing, and Zihao Wang · 2017
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Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra, George Tucker, Jan Chorowski, Łukasz Kaiser, and Geoffrey Hinton · 2017
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Attention is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Latent intention dialogue models
Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, and Steve Young · 2017
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Deliberation Networks: Sequence Generation Beyond One-Pass Decoding
Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, and Tie-Yan Liu · 2017
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Neural Machine Translation with Recurrent Attention Modeling
Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, and Alex Smola · 2017
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Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
Tiancheng Zhao, Ran Zhao, and Maxine Eskenazi · 2017
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Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, et al · 2018
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A Dataset for Document Grounded Conversations
Kangyan Zhou, Shrimai Prabhumoye, and Alan W Black · 2018
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Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning
Jyoti Aneja, Harsh Agrawai, Dhruv Batra, and Alexander Schwing · 2019
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BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Advances in Conversational AI
Emily Dinan and Jason Weston · 2019
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Wizard of Wikipedia: Knowledge-Powered Conversational Agents
Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, and Jason Weston · 2019
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Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations
Karthik Gopalakrishnan, Behnam Hedayatnia, Qinlang Chen, Anna Gottardi, Sanjeev Kwatra, Anu Venkatesh, Raefer Gabriel, Dilek Hakkani-Tür, and Amazon Alexa AI · 2019
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Yuntian Deng, Yoon Kim, Justin Chiu, Demi Guo, and Alexander Rush · 2018
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A Knowledge-Grounded Neural Conversation Model
Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, and Michel Galley · 2018
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Generating Sentences by Editing Prototypes
Kelvin Guu, Tatsunori B Hashimoto, Yonatan Oren, and Percy Liang · 2018
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Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Jay Heo, Hae Beom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, and Sung Ju Hwang · 2018
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Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
Andrea Madotto, Chien-Sheng Wu, and Pascale Fung · 2018
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Efficient and Robust Question Answering from Minimal Context over Documents
Sewon Min, Victor Zhong, Richard Socher, and Caiming Xiong · 2018
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Towards Exploiting Background Knowledge for Building Conversation Systems
Nikita Moghe, Siddhartha Arora, Suman Banerjee, and Mitesh M Khapra · 2018
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Visualizing and Understanding the Effectiveness of BERT
Yaru Hao, Li Dong, Furu Wei, and Ke Xu · 2019
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Importance of a Search Strategy in Neural Dialogue Modelling
Ilya Kulikov, Alexander H Miller, Kyunghyun Cho, and Jason Weston · 2019
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Learning to Select Knowledge for Response Generation in Dialog Systems
Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, and Hua Wu · 2019
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Knowledge aware conversation generation with reasoning on augmented graph
Zhibin Liu, Zheng-Yu Niu, Hua Wu, and Haifeng Wang · 2019
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Conversing by Reading: Contentful Neural Conversation with On-Demand Machine Reading
Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, and Jianfeng Gao · 2019
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Posterior Attention Models for Sequence to Sequence Learning
Shiv Shankar and Sunita Sarawagi · 2019
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Long and Diverse Text Generation with Planning-based Hierarchical Variational Model
Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, and Xiaoyan Zhu · 2019
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DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks
Semih Yavuz, Abhinav Rastogi, Guan-Lin Chao, and Hakkani-Tur Dilek · 2019
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