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2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Natural human-robot interaction requires different and more robust models of language understanding (NLU) than non-embodied NLU systems. In particular, architectures are required that (1) process language incrementally in order to be able to provide early backchannel feedback to human speakers; (2) use pragmatic contexts throughout the understanding process to infer missing information; and (3) handle the underspecified, fragmentary, or otherwise ungrammatical utterances that are common indoi:10.1109/hri.2010.5453184 fatcat:lrz34yzd5vfv7ehlnx6c56gyj4