Amazon Technologies, Inc.

Sanghyun Yi

Tagyoung Chung

Raefer Christopher Gabriel

Chandra Prakash Khatri

Rahul Goel

Anushree Venkatesh

Behnam Hedayatnia

A system that can engage in a dialog with a user may select a system response to a user input based on how the system estimates a user may respond to a potential system response. Models may be trained to evaluate a potential system response in view of various available data including dialog history, entity data, etc. Each model may score the potential system response for various qualitative aspects such as whether the response is likely to be comprehensible, on-topic, interesting, likely to lead to the dialog continuing, etc. Such scores may be combined to other scores such as whether the potential response is coherent or engaging. The models may be trained using previous dialog/chatbot evaluation data. At runtime the scores may be used to select a system response to a user input as part of the dialog.

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Sunnyvale, CA, United States of America

Sanghyun Yi