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- W768241167 abstract "In this paper we present a model of language contextualization for spatially situated dialogue systems including service robots. The contextualization model addresses the problem of location sensitivity in language understanding for human-robot interaction. Our model is based on the application of situation-sensitive contextualization functions to a dialogue move’s semantic roles – both for the resolution of specified content and the augmentation of empty roles in cases of ellipsis. Unlike the previous use of default values, this methodology provides a context-dependent discourse process which reduces unnecessary artificial clarificatory statements. We detail this model and report on a number of user studies conducted with a simulated robotic system based on this model." @default.
- W768241167 created "2016-06-24" @default.
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- W768241167 date "2010-01-01" @default.
- W768241167 modified "2023-09-25" @default.
- W768241167 title "Putting Things in Context: Situated Language Understanding for Human-Robot Dialog(ue)" @default.
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