Evaluating Persuasion Strategies and Deep Reinforcement Learning methods for Negotiation Dialogue agents-Reference-Cited by-同舟云学术

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Evaluating Persuasion Strategies and Deep Reinforcement Learning methods for Negotiation Dialogue agents

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
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Author:

Keizer Simon,Guhe Markus,Cuayahuitl Heriberto,Efstathiou Ioannis,Engelbrecht Klaus-Peter,Dobre Mihai,Lascarides Alex,Lemon Oliver

Publisher

Association for Computational Linguistics

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bridging the Space Gap: Unifying Geometry Knowledge Graph Embedding with Optimal Transport;Proceedings of the ACM Web Conference 2024;2024-05-13

2. It Takes Two to Negotiate: Modeling Social Exchange in Online Multiplayer Games;Proceedings of the ACM on Human-Computer Interaction;2024-04-17

3. DeliData: A Dataset for Deliberation in Multi-party Problem Solving;Proceedings of the ACM on Human-Computer Interaction;2023-09-28

4. A contrastive knowledge graph embedding model with hierarchical attention and dynamic completion;Neural Computing and Applications;2023-04-03

5. An Adaptive Negotiation Dialogue Agent with Efficient Detection and Optimal Response;Lecture Notes in Computer Science;2023

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