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Training an adaptive dialogue policy for interactive learning of visually grounded word meanings
2016
Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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. We use this system in interaction with a simulated human tutor to study the effects of different
doi:10.18653/v1/w16-3643
dblp:conf/sigdial/YuEL16
fatcat:3h34ypvjordglfa3lg4fzubkay