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Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize
Building open domain conversational systems that allow users to have eng...
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Entertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System
Conversational systems typically focus on functional tasks such as sched...
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An End-to-End Conversational Style Matching Agent
We present an end-to-end voice-based conversational agent that is able t...
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Ruuh: A Deep Learning Based Conversational Social Agent
Dialogue systems and conversational agents are becoming increasingly pop...
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Should Machines Feel or Flee Emotions? User Expectations and Concerns about Emotionally Aware Chatbots
As chatbots are becoming increasingly popular, we often wonder what user...
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Alquist 3.0: Alexa Prize Bot Using Conversational Knowledge Graph
The third version of the open-domain dialogue system Alquist developed w...
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Combining Search with Structured Data to Create a More Engaging User Experience in Open Domain Dialogue
The greatest challenges in building sophisticated open-domain conversati...
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Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
We present Chirpy Cardinal, an open-domain dialogue agent, as a research platform for the 2019 Alexa Prize competition. 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, a median conversation duration of 2 minutes 16 seconds, and a 90th percentile duration of over 12 minutes.
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