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

By Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf. 2018

61 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Natural Language Processing

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Citations in the corpus

Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions (2020, methodology): “, 2019), and have been used to train models through reinforcement learning (Serban et al., 2017; Fang et al., 2018), but they still show limited correlation with gold standard quality ratings (Serban et al.”
Challenges in Building Intelligent Open-domain Dialog Systems (2019, background): “Even though an open-domain dialog system has no access to annotated dialog acts (which are available only for task-oriented dialog) to learn to explicitly detect an user’s intents (labeled by dialog acts), the system can still play a proactive role of leading the conversation by for example suggesti”
Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize (2018, background): “The winning team - Sounding Board (Fang et al., 2018) from the University of Washington achieved an average rating of 3.”
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation (2020, result): “A similar skewed distribution is also observed in previous years’ Alexa competition (Fang et al., 2018).”
Emotionally-Aware Chatbots: A Survey (2019, background): “Conversational agents or dialogue systems development are gaining more attention from both industry and academia [15, 17] in the”
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs (2019, background): “Fang et al. (2018) shows that people may switch dialog topics entirely in a conversation.”