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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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MOSS: End-to-End Dialog System Framework with Modular Supervision
A major bottleneck in training end-to-end task-oriented dialog system is...
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Dialog Simulation with Realistic Variations for Training Goal-Oriented Conversational Systems
Goal-oriented dialog systems enable users to complete specific goals lik...
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Discovering User Groups for Natural Language Generation
We present a model which predicts how individual users of a dialog syste...
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CMU GetGoing: An Understandable and Memorable Dialog System for Seniors
Voice-based technologies are typically developed for the average user, a...
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Investigation of Error Simulation Techniques for Learning Dialog Policies for Conversational Error Recovery
Training dialog policies for speech-based virtual assistants requires a ...
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Specifying and Staging Mixed-Initiative Dialogs with Program Generation and Transformation
Specifying and implementing flexible human-computer dialogs, such as tho...
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Gunrock 2.0: A User Adaptive Social Conversational System
Gunrock 2.0 is built on top of Gunrock with an emphasis on user adaptation. Gunrock 2.0 combines various neural natural language understanding modules, including named entity detection, linking, and dialog act prediction, to improve user understanding. Its dialog management is a hierarchical model that handles various topics, such as movies, music, and sports. The system-level dialog manager can handle question detection, acknowledgment, error handling, and additional functions, making downstream modules much easier to design and implement. The dialog manager also adapts its topic selection to accommodate different users' profile information, such as inferred gender and personality. The generation model is a mix of templates and neural generation models. Gunrock 2.0 is able to achieve an average rating of 3.73 at its latest build from May 29th to June 4th.
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