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Sounding Board: A User-Centric and Content-Driven Social Chatbot

Human-Computer Interaction 2018-04-30 v1 Artificial Intelligence Computation and Language
Authors: Hao Fang , Hao Cheng , Maarten Sap , Elizabeth Clark , Ari Holtzman , Yejin Choi , Noah A. Smith , Mari Ostendorf
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Abstract

We present Sounding Board, a social chatbot that won the 2017 Amazon Alexa Prize. The system architecture consists of several components including spoken language processing, dialogue management, language generation, and content management, with emphasis on user-centric and content-driven design. We also share insights gained from large-scale online logs based on 160,000 conversations with real-world users.

Cite

@article{arxiv.1804.10202,
  title  = {Sounding Board: A User-Centric and Content-Driven Social Chatbot},
  author = {Hao Fang and Hao Cheng and Maarten Sap and Elizabeth Clark and Ari Holtzman and Yejin Choi and Noah A. Smith and Mari Ostendorf},
  journal= {arXiv preprint arXiv:1804.10202},
  year   = {2018}
}

Comments

5 pages, 3 figures, NAACL 2018

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