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Title:

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

Abstract:

This paper proposes KB-InfoBot — a multi-turn dialogue agent w hich helps users search Knowledge Bases (KBs) without composing complicated queries. Such goal-oriented dialogue agents typically need to interact with an external database to a ccess real-world knowledge. Previous systems achieved this by issuing a symbolic query to the KB to retrieve entries based on their attributes. However, such symbolic operations break the differ entiability of the system and prevent end-to-end training of neural dialogue agents. In this paper, we address this limitation by replacing symbolic queries with an induced “soft” posterior dist ribution over the KB that indicates which entities the user is interested in. Integrating the soft retrieval process with a reinforcement learner leads to higher task success rate and reward in both s imulations and against real users. We also present a fully neural end-to-end agent, trained entirely from user feedback, and discuss its application towards personalized dialogue agents.

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# Title Author Topic Medium Score
1 End-to-End Reinforcement Learning of Dialogue Agents for Information Access Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, ... 9999
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3 Neural Approaches to Conversational {AI} Jianfeng Gao and Michel Galley and Lihong Li 1048
4 Deep Learning for Conversational AI Jianfeng Gao, Michel Galley, Lihong Li 1200
5 A Roadmap towards Machine Intelligence Tomas Mikolov, Armand Joulin, Marco Baroni 9999
6 Evaluating Goal-oriented End-to-End Dialog Systems Antoine Bordes, Jason Weston, Y-Lan Boureau, Jesse Dodge, Andre Gan... 1200
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8 Deep Learning for Dialogue Systems Yun-Nung Chen, Asli Celikyilmaz, Dilek Hakkani-Tür 1142
9 Modern Deep Learning Techniques Applied to Natural Language Processing Elvis Saravia, Soujanya Poria 1183
10 Deep Learning for Dialogue Systems Yun-Nung (Vivian) Chen, Asli Celikyilmaz, Dilek Hakkani-Tur 1142
11 Scalable Construction and Reasoning of Massive Knowledge Bases Xiang Ren, Nanyun Peng, William Yang Wang 1216
12 Scalable Construction and Reasoning of Massive Knowledge Bases Xiang Ren, Nanyun Peng, William Yang Wang 1216
13 Towards end-to-end learning for dialog state tracking and management using deep reinforcement learning Tiancheng Zhao, Maxine Eskenazi 9999
14 Conditional Generation and Snapshot Learning in Neural Dialogue Systems Tsung-Hsien Wen, Milica Gasic, Nikola Mrkši?, Lina M. Rojas Barahon... 9999
15 Coupling Distributed and Symbolic Execution for Natural Language Queries Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin 9999
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17 Spoken Dialogue Systems Kristiina Jokinen, Michael McTear 1142
18 57 Summaries of Machine Learning and NLP Research Marek Rei 1201
19 Machine Translation 3 (Neural), Dialogue Models Mohit Bansal 1142
20 Neural Networks for Information Retrieval: Generating Responses Mostafa Deghani, Tom Kenter 1183
21 Recent Advances in Document Summarization Jin-ge Yao, Xiaojun Wan, Jianguo Xiao 1129
22 Neural Information Retrieval: At the End of the Early Years Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md Mustafizu... 1183
23 Information Extraction Katharina Kaiser and Silvia Miksch 1089
24 Key-Value Memory Networks for Directly Reading Documents Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Ant... 9999
25 Deep Reinforcement Learning: An Overview Yuxi Li 1336
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27 Deep Reinforcement Learning for Dialogue Generation Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Ji... 9999
28 Information Extraction Sunita Sarawagi 1089
29 Knowledge Base Population using Semantic Label Propagation Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder 9999
30 Building Cross-Lingual End-to-End Product Search with Tensorflow Han Xiao 1189
31 Construction and Querying of Large-scale Knowledge Bases Xiang Ren, Yu Su, Xifeng Yan 1151
32 Natural Language Data Management and Interfaces Yunyao Li, Davood Rafiei 1151
33 Semantic Parsing 2, Question Answering Mohit Bansal 1125
34 Learning a Natural Language Interface with Neural Programmer Arvind Neelakantan, Quoc V Le, Martin Abadi, Andrew McCallum, Dario... 9999
35 A Survey on Deep Learning for Named Entity Recognition Li, Jing and Sun, Aixin and Han, Jianglei and Li, Chenliang 1089
36 Summaries and notes on Deep Learning research papers Denny Britz 1183
37 Applications of Reinforcement Learning in Real World Garychl 1336
38 Mining Knowledge Graphs from Text: Part 5 Summary Slides Jay Pujara, Sameer Singh 967
39 ICML 2018 Notes David Abel 9999
40 An Introduction to Neural Information Retrieval Bhaskar Mitra, Nick Craswell 1169
41 Rohan #2: Artificial intelligence, ?Progress/?Time Rohan Kapur 1300
42 NLP & Healthcare: Understanding the Language of Medicine Xavier Amatriain 1150
43 Automated Question Answering: Review of the Main Approaches Andrea Andrenucci, Eriks Sneiders 1125
44 The Natural Language Decathlon Bryan McCann 1311
45 Web Crawling Christopher Olston and Marc Najork 1177
46 NLP’s generalization problem, and how researchers are tackling it Ana Marasovic 1181
47 Transfer Learning for Reinforcement Learning Domains: A Survey Matthew E. Taylor, Peter Stone 1323
48 Artificial Intelligence’s Next Big Step: Reinforcement Learning Mary Branscombe 1336
49 Spoken Content Retrieval: A Survey of Techniques and Technologies Martha Larson and Gareth J. F. Jones 1252
50 Knowledge Graph: Critical Overview Jay Pujara, Sameer Singh, Bhavana Dalvi 1216