Knowledge Grounded Conversation (KGC) Paper Reading

We will keep adding papers and improving the list. Any suggestions are welcome!

Survey

• A Survey of Knowledge-Enhanced Text Generation. Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang. ACM Comput. Surv.
• A Survey of Document Grounded Dialogue Systems (DGDS). Longxuan Ma, Wei-Nan Zhang, Mingda Li and Ting Liu. ArXiv 2020.

2021

• Conversations Powered by Cross-Lingual Knowledge. Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, and Maarten de Rijke. SIGIR 2021.
• Unsupervised Knowledge Selection for Dialogue Generation. Xiuyi Chen, Feilong Chen, Fandong Meng, Peng Li and Jie Zhou. Findings of ACL: ACL-IJCNLP 2021.
• Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters. Yan Xu, Etsuko Ishii, Samuel Cahyawijaya, Zihan Liu, Genta Indra Winata, Andrea Madotto, Dan Su, and Pascale Fung. arXiv:2105.06232.
• Initiative-Aware Self-Supervised learning for Knowledge-Grounded Conversations. Chuan Meng, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tengxiao Xi, and Maarten de Rijke. SIGIR 2021.
• Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network. Sixing Wu, Minghui Wang, Dawei Zhang, Yang Zhou, Ying Li, Zhonghai Wu. IJCAI 2021.
• Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection. Chen Zhang, Hao Wang, Feijun Jiang, and Hongzhi Yin. WWW 2021.
• Human-like informative conversations: Better acknowledgements using conditional mutual information. Ashwin Paranjape and Christopher D. Manning. NAACL 2021.

2020

• DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. Chuan Meng, Pengjie Ren, Zhumin Chen, Weiwei Sun, Zhaochun Ren, Zhaopeng Tu and Maarten de Rijke. SIGIR 2020. [code]
• A Reference-aware Network for Background Based Conversation. Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma and Maarten de Rijke. AAAI 2020. [code]
• Zero-Resource Knowledge-Grounded Dialogue Generation. Linxiao Li, Can Xu, Wei Wu, Yufan Zhao, Xueliang Zhao, Chongyang Tao. NeurIPS 2020.
• Low-Resource Knowledge-Grounded Dialogue Generation. Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, Rui Yan. ICLR-2020.
• KETG: A Knowledge Enhanced Text Generation Framework. Anonymous. ICLR 2021 under review.
• Improving Abstractive Dialogue Summarization with Conversational Structure and Factual Knowledge. Anonymous. ICLR 2021 under review.
• K-Plug: Knowledge-Injected Pre-trained Language Model for Natural Language Understanding and Generation. Anonymous. ICLR 2021 under review.
• Knowledge Grounded Pre-Trained Model For Dialogue Response Generation. Yanmeng Wang, Wenge Rong, Jianfei Zhang, Yuanxin Ouyang, Zhang Xiong. IJCNN 2020.
• Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems. Behnam Hedayatnia, Seokhwan Kim, Yang Liu, Karthik Gopalakrishnan, M. Eric, D. Hakkani-Tur. Arxiv 2020.
• Unsupervised Injection of Knowledge into Dialogue Generation via Language Models. Yi-Lin Tuan, Wei Wei, William Yang Wang. Arxiv 2020.
• TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact. Sixing Wu, Ying Li, D. Zhang, Y. Zhou, Zhonghai Wu. IJCAI 2020.
• Learning to Detect Relevant Contexts and Knowledge forResponse Selection in Retrieval-based Dialogue Systems. Kai Hua, Zhiyuan Feng, Chongyang Tao, Rui Yan, Lu Zhang. CIKM 2020.
• Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation. Xiuyi Chen, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu, Bo Xu and Jie Zhou. EMNLP 2020.
• AttnIO: Knowledge Graph Exploration with In-and-Out Attention Flow for Knowledge-Grounded Dialogue. Jaehun Jung, Bokyung Son and Sungwon Lyu. EMNLP 2020.
• Knowledge-Grounded Dialogue Generation with Pre-trained Language Models. Xueliang Zhao, wei wu, Can Xu, Chongyang Tao, Dongyan Zhao and Rui Yan. EMNLP 2020.
• KGLM: Pretrained Knowledge-Grounded Language Model for Data-to-Text Generation. Wenhu Chen, Yu Su, Xifeng Yan and William Yang Wang. EMNLP 2020. [code]
• Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding. Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni and Julian McAuley. EMNLP 2020. [data] [code]
• Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation. Chujie Zheng, Yunbo Cao, Daxin Jiang, Minlie Huang. Findings of ACL: EMNLP 2020.
• Approximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue Generation. Wen Zheng, Natasa Milic-Frayling, Ke Zhou. Findings of ACL: EMNLP 2020. [code]
• Exploiting Text Matching Techniques for Knowledge-Grounded Conversation. Yeonchan Ahn, Sanggoo Lee, Jaehui Park. IEEE Access 2020.
• BART for Knowledge Grounded Conversations. M. D. Bruyn, E. Lotfi, Jeska Buhmann, W. Daelemans. KDD 2020 workshop.
• On Incorporating Structural Information to improve Dialogue Response Generation. Nikita Moghe, Priyesh Vijayan, B. Ravindran, Mitesh M. Khapra. NLP4CONVAI 2020.
• A Knowledge Driven Dialogue Model With Reinforcement Learning. Yongnan Jia, Gaochen Min, Cong Xu, Xisheng Li, Dezheng Zhang. IEEE Access 2020.
• Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy. Xiexiong Lin, Weiyu Jian, Jianshan He, Taifeng Wang, Wei Chu. ACL 2020.
• Multiple Knowledge Syncretic Transformer for Natural Dialogue Generation. Xiangyu Zhao, Longbiao Wang, Ruifang He, Ting Yang, Jinxin Chang and Ruifang Wang. WWW 2020.
• Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs. Houyu Zhang, Zhenghao Liu, Chenyan Xiong and Zhiyuan Liu. ACL 2020.
• The Dialogue Dodecathlon Open-Domain Knowledge and Image Grounded Conversational Agents. Kurt Shuster, Da Ju, Stephen Roller, Emily Dinan, Y-Lan Boureau and Jason Weston. ACL 2020.
• Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation. Jun Xu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu. ACL 2020.
• KdConv:A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation. Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huangy and Xiaoyan Zhu. ACL 2020. [data]
• Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation. Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu and Nevin L. Zhang. ACL 2020.
• Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma and Maarten de Rijke. AAAI 2020. [code]
• Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering. Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu and Min Yang. AAAI 2020.
• Knowledge Graph Grounded Goal Planning for Open-Domain Conversation. Jun Xu, Haifeng Wang, Zhengyu Niu, Hua Wu Wanxiang Che. AAAI 2020.
• Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation. Jinghui Qin, Zheng Ye, Jianheng Tang and Xiaodan Liang. AAAI 2020.
• Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. Byeongchang Kim, Jaewoo Ahn and Gunhee Kim. ICLR 2020. [code]
• Towards information-rich, logical text generation with knowledge-enhanced neural models. Hao Wang, Bin Guo, Wei Wu and Zhiwen Yu. ArXiv 2020.
• A Compare Aggregate Transformer for Understanding Document-grounded Dialogue. Longxuan Ma, Weinan Zhang, Runxin Sun, Ting Liu. Findings of ACL: EMNLP 2020.
• Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues. Sixing Wu, Ying Li, Dawei Zhang, Zhonghai Wu. Findings of ACL: EMNLP 2020.
• Knowledge-Grounded Chatbot Based on Dual Wasserstein Generative Adversarial Networks with Effective Attention Mechanisms. Sihyung Kim, Oh-Woog Kwon and Harksoo Kim. Applied Science 2020.

2019

• Wizard of Wikipedia: Knowledge-Powered Conversational agents. Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli and Jason Weston. ICLR 2019.
• Proactive Human-Machine Conversation with Explicit Conversation Goals. Wenquan Wu, Zhen Guo, Xiangyang Zhou, Hua Wu, Xiyuan Zhang, Rongzhong Lian and Haifeng Wang. ACL 2019. [code]
• 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. ACL 2019.
• Incremental Transformer with Deliberation Decoderfor Document Grounded Conversations. Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li and Jie Zhou. ACL 2019.
• Opendialkg: Explainable conversational reasoning with attention-based walks over knowledge graphs. Seungwhan Moon, Pararth Shah, Anuj Kumar and Rajen Subba. ACL 2019.
• Learning to Select Knowledge for Response Generation in Dialog Systems. Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng and Hua Wu. IJCAI 2019.
• DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs. Yi-Lin Tuan, Yun-Nung Chen and Hung-yi Lee. EMNLP 2019.
• Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs. Zhibin Liu, Zheng-Yu Niu, Hua Wu and Haifeng Wang. EMNLP 2019.
• Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam and Shuming Shi. NAACL 2019. [code]
• On Knowledge distillation from complex networks for response prediction. Siddhartha Arora, Mitesh M. Khapra and Harish G. Ramaswamy. NAACL 2019.
• Memory Grounded Conversational Reasoning. Seungwhan Moon, Pararth Shah, Rajen Subba and Anuj Kumar. EMNLP 2019.
• A Document-grounded Matching Network for Response Selection inRetrieval-based Chatbots. Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao and Rui Yan. IJCAI 2019.
• Improving Background Based Conversation with Context-aware Knowledge Pre-selection. Yangjun Zhang, Pengjie Ren and Maarten de Rijke. SCAI 2019.
• Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversation. Karthik Gopalakrishnan, Behnam Hedayatnia, Qinlang Chen, Anna Gottardi, Sanjeev Kwatra, Anu Venkatesh, Raefer Gabriel and Dilek Hakkani-Tür. Interspeech 2019.

2018

• A Knowledge-Grounded Neural Conversation Model. Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih and Michel Galley. AAAI 2018.
• Knowledge Diffusion for Neural Dialogue Generation. Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu and Dawei Yin. ACL 2018. [data]
• Towards Exploiting Background Knowledge for Building Conversation Systems. Nikita Moghe, Siddhartha Arora, Suman Banerjee and Mitesh M. Khapra. EMNLP 2018.
• A Dataset for Document Grounded Conversations. Kangyan Zhou, Shrimai Prabhumoye and Alan W Black. EMNLP 2018.
• Extending neural generative conversational model using external knowledge sources. Prasanna Parthasarathi and Joelle Pineau. EMNLP 2018.
• Commonsense Knowledge Aware Conversation Generation with Graph Attention. Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu and Xiaoyan Zhu. IJCAI 2018. [code]
• Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base. NeurIPS 2018. [code]
• Augmenting End-to-End Dialog Systems with Commonsense Knowledge. Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas and Minlie Huang. AAAI 2018.

Before 2018

• Flexible End-to-End Dialogue System for Knowledge Grounded Conversation. Wenya Zhu, Kaixiang Mo, Yu Zhang, Zhangbin Zhu, Xuezheng Peng and Qiang Yang. ArXiv 2017.
• Incorporating loose-structured knowledge into conversation modeling via recall-gate LSTM. Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun and Xiaolong Wang. IJCNN 2017.
• A neural network approach for knowledge-driven response generation. Pavlos Vougiouklis, Jonathon Hare and Elena Simperl. COLING 2016.
• Exploiting knowledge base to generate responses for natural language dialog listening agents. Sangdo Han, Jeesoo Bang, Seonghan Ryu and Gary Geunbae Lee. SIGDIAL 2015.

Basic papers

• Attention Is All You Need. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser and Illia Polosukhin. NeurIPS 2017.
• Sequence to Sequence Learning with Neural Networks. Ilya Sutskever, Oriol Vinyals and Quoc V. Le. NeurIPS 2014.
• Neural Machine Translation by Jointly Learning to Align and Translate. Dzmitry Bahdanau, Kyunghyun Cho and Yoshua Bengio. ICLR 2015.
• Incorporating Copying Mechanism in Sequence-to-Sequence Learning. Jiatao Gu, Zhengdong Lu, Hang Li and Victor O.K. Li. ACL 2016.
• Get To The Point: Summarization with Pointer-Generator Networks. Abigail See, Peter J. Liu and Christopher D. Manning. ACL 2017.

Other related papers

Knowledge-Based Recommender Dialog

• Towards Deep Conversational Recommendations. Raymond Li, Samira Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin and Chris Pal. NeurIPS 2018.
• Towards Knowledge-Based Recommender Dialog System. Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang and Jie Tang. EMNLP 2019. [code]
• Towards Conversational Recommendation over Multi-Type Dialogs. Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che and Ting Liu. ACL 2020. [code]

Task-Oriented Conversation

• Learning End-to-End Goal-Oriented Dialog. Antoine Bordes, Y-Lan Boureau and Jason Weston. ICLR 2017.
• Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He and Dawei Yin. ACL 2018.
• 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. EMNLP 2018.

Multi-Agent Reinforcement learning

• Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition. Ryuichi Takanobu, Runze Liang and Minlie Huang. ACL 2020. [code]
• Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning. Alexandros Papangelis, Yi-Chia Wang, Piero Molino and Gokhan Tur. SIGDIAL 2020. [code]
• Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition. Shuyu Lei, Xiaojie Wang and Caixia Yuan. MDPI 2020.
• A Survey and Critique of Multiagent Deep Reinforcement Learning. Pablo Hernandez-Leal, Bilal Kartal and Matthew E. Taylor. AAMAS 2019.
• Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning. Jun Feng, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang and Xiaoyan Zhu. WWW 2019.
• Natural Language Does Not Emerge ‘Naturally’ in Multi-Agent Dialog. Satwik Kottur, José Moura, Stefan Lee and Dhruv Batra. EMNLP 2017.
• Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning. Abhishek Das, Satwik Kottur, José M. F. Moura, Stefan Lee and Dhruv Batra. ICCV 2017.
• Single-Agent vs. Multi-Agent Techniques for Concurrent Reinforcement Learning of Negotiation Dialogue Policies. Kallirroi Georgila, Claire Nelson and David Traum. ACL 2014.