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We present new results from a real-user evaluation of a data-driven approach to learning user-adaptive referring expression generation (REG) policies for spoken dialogue systems. ...
The paper presents two models for producing and understanding situationally appropriate referring expressions (REs) during a discourse about large-scale space. The models are eval...
Hendrik Zender, Christopher Koppermann, Fai Greeve...
We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...