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Multi-hop Question Answering via Reasoning Chains. In arXiv preprint arXiv:1910.02610
Jifan Chen, Shih-Ting Lin, and Greg Durrett. 2019a · 1910
Earlier work this paper cites.
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. In SIGKDD . 1929–1937
Xiaolei Wang, Kun Zhou, Ji-Rong Wen, and Wayne Xin Zhao. 2022 · 1937
Earlier work this paper cites.
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue. In EMNLP-IJCNLP . 1951–1961
Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau, and Jason Weston. 2019 · 1961
Earlier work this paper cites.
An Iterative Design Methodology for User-Friendly Natural Language Office Information Applications
J. F. Kelley. 1984 · 1984
Earlier work this paper cites.
Methods and Metrics for Cold-Start Recommendations. In SIGIR . 253–260
Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, and David M. Pennock. 2002 · 2002
Earlier work this paper cites.
Dbpedia-a crystallization point for the web of data
Christian Bizer, Jens Lehmann, Georgi Kobilarov, Sören Auer, Christian Becker, Richard Cyganiak, and Sebastian Hellmann. 2009 · 2009
Earlier work this paper cites.
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. In EMNLP . 1724–1734
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
A Structured Self-attentive Sentence Embedding. In ICLR
Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. 2017 · 2017
Earlier work this paper cites.
Why We Need New Evaluation Metrics for NLG. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing . 2241–2252
Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, and Verena Rieser. 2017 · 2017
Earlier work this paper cites.
Latent Intention Dialogue Models. In ICML . 3732–3741
Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, and Steve J. Young. 2017 · 2017
Earlier work this paper cites.
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. In EMNLP . 564–573
Wenhan Xiong, Thien Hoang, and William Yang Wang. 2017 · 2017
Earlier work this paper cites.
Leveraging Meta-Path Based Context for Top- N Recommendation with A Neural Co-Attention Model. In SIGKDD . 1531–1540
Binbin Hu, Chuan Shi, Wayne Xin Zhao, and Philip S. Yu. 2018 · 2018
Earlier work this paper cites.
Towards deep conversational recommendations
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal. 2018 · 2018
Earlier work this paper cites.
Knowledge-Aware Multimodal Dialogue Systems. In ACM MM . 801–809
Lizi Liao, Yunshan Ma, Xiangnan He, Richang Hong, and Tat-Seng Chua. 2018 · 2018
Earlier work this paper cites.
Conversational Recommender System. In SIGIR . 235–244
Yueming Sun and Yi Zhang. 2018 · 2018
Earlier work this paper cites.
Hello, It’s GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems. In Proceedings of the 3rd Workshop on Neural Generation and Translation . 15–22
Paweł Budzianowski and Ivan Vulić. 2019 · 2019
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL . 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Learning deep representations by mutual information tion and maximization. In ICLR
R Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Phil Bachman, Adam Trischler, and Yoshua Bengio. 2019 · 2019
Cited alongside, same era.
OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs. In ACL . 845–854
Seungwhan Moon, Pararth Shah, Anuj Kumar, and Rajen Subba. 2019 · 2019
Cited alongside, same era.
Dynamically Fused Graph Network for Multi-hop Reasoning. In ACL . 6140–6150
Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, and Yong Yu. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners. In OpenAI Blog
Alec Radford, Jeffrey Wu, Rewon Child, Dvid Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Cited alongside, same era.
PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text. In EMNLP-IJCNLP . 2380–2390
Haitian Sun, Tania Bedrax-Weiss, and William Cohen. 2019 · 2019
Cited alongside, same era.
Suggest me a movie for tonight: Leveraging Knowledge Graphs for Conversational Recommendation. In COLING . 4179–4189
Rajdeep Sarkar, Koustava Goswami, Mihael Arcan, and John P. McCrae. 2020 · 2020
Later among the works it cites.
Unsupervised Commonsense Question Answering with Self-Talk. In EMNLP . 4615–4629
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. 2020 · 2020
Later among the works it cites.
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. In ICLR
Fan-Yun Sun, Jordon Hoffman, Vikas Verma, and Jian Tang. 2020 · 2020
Later among the works it cites.
User Memory Reasoning for Conversational Recommendation. In COLING . 5288–5308
Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, and S Yu Philip. 2020 · 2020
Later among the works it cites.
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion
Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhiping Shi, Hui Xiong, and Qing He. 2020 · 2020
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Explainable Reasoning over Knowledge Graphs for Recommendation
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, and Tat-Seng Chua. 2019b · 2019
Cited alongside, same era.
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. In ACL . 4258–4264
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, and William Yang Wang. 2019 · 2019
Cited alongside, same era.
QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization. In EMNLP-IJCNLP . 3370–3375
Yi-Ting Yeh and Yun-Nung Chen. 2019 · 2019
Cited alongside, same era.
A Visual Dialog Augmented Interactive Recommender System. In SIGKDD . 157–€“165
Tong Yu, Yilin Shen, and Hongxia Jin. 2019 · 2019
Cited alongside, same era.
Query-Based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. In CIKM . 2585–2593
Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, and Deng Cai. 2019 · 2019
Cited alongside, same era.
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. In EMNLP . 1295–1309
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, and Xiang Ren. 2020 · 2020
Cited alongside, same era.
The Curious Case of Neural Text Degeneration. In ICLR
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
Cited alongside, same era.
Later among the works it cites.
Improving Conversational Recommender Systems via Knowledge Graph Based Semantic Fusion. In SIGKDD . 1006–1014
Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, and Jingsong Yu. 2020 · 2020
Later among the works it cites.
Unified Conversational Recommendation Policy Learning via Graph-Based Reinforcement Learning
Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, and Wai Lam. 2021 · 2021
Later among the works it cites.
HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation. In SIGIR . 2415–2421
Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard de Melo, and Yongfeng Zhang. 2021 · 2021
Later among the works it cites.
Advances and challenges in conversational recommender systems: A survey
Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, and Tat-Seng Chua. 2021 · 2021
Later among the works it cites.
Learning to Ask Appropriate Questions in Conversational Recommendation. In SIGIR (SIGIR) . 808–817
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, and Kai Zheng. 2021 · 2021
Later among the works it cites.
Learning to Infer User Implicit Preference in Conversational Recommendation. In SIGIR . 256–266
Chenhao Hu, Shuhua Huang, Yansen Zhang, and Yubao Liu. 2022 · 2022
Later among the works it cites.
Conversational Recommendation via Hierarchical Information Modeling. In SIGIR . 2201–2205
Quan Tu, Shen Gao, Yanran Li, Jianwei Cui, Bin Wang, and Rui Yan. 2022 · 2022
Later among the works it cites.
CR-GIS: Improving Conversational Recommendation via Goal-aware Interest Sequence Modeling. In COLING . 400–411
Jinfeng Zhou, Bo Wang, Zhitong Yang, Dongming Zhao, Kun Huang, Ruifang He, and Yuexian Hou. 2022 · 2022
Later among the works it cites.
Enhancing User Personalization in Conversational Recommenders
Allen Lin, Ziwei Zhu, Jianling Wang, and James Caverlee. 2023 · 2023
Closest in time.
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. In WSDM . 231–239
Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, and Zhaochun Ren. 2023 · 2023
Closest in time.
Interactive path reasoning on graph for conversational recommendation. In SIGKDD . 2073–2083
Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, and Tat-Seng Chua. 2020b · 2083
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