Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
Paranjape, Ashwin, See, Abigail, Kenealy, Kathleen, Li, Haojun, Hardy, Amelia, Qi, Peng, Sadagopan, Kaushik Ram, Phu, Nguyet Minh, Soylu, Dilara, Manning, Christopher D.
–arXiv.org Artificial Intelligence
Building an open-domain socialbot that talks to real people is challenging - such a system must meet multiple user expectations such as broad world knowledge, conversational style, and emotional connection. Our socialbot engages users on their terms - prioritizing their interests, feelings and autonomy. As a result, our socialbot provides a responsive, personalized user experience, capable of talking knowledgeably about a wide variety of topics, as well as chatting empathetically about ordinary life. Neural generation plays a key role in achieving these goals, providing the backbone for our conversational and emotional tone. At the end of the competition, Chirpy Cardinal progressed to the finals with an average rating of 3.6/5.0,
arXiv.org Artificial Intelligence
Sep-5-2020
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