Training an adaptive dialogue policy for interactive learning of visually grounded word meanings

WS 2016 Yanchao YuArash EshghiOliver Lemon

We present a multi-modal dialogue system for interactive learning of perceptually grounded word meanings from a human tutor. The system integrates an incremental, semantic parsing/generation framework - Dynamic Syntax and Type Theory with Records (DS-TTR) - with a set of visual classifiers that are learned throughout the interaction and which ground the meaning representations that it produces... (read more)

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