Selected articles

A TV Program Discovery Dialog System Using Recommendations

We present an end-to-end conversational system for TV program discovery that uniquely combines advanced technologies for NLU, Dialog Management, Knowledge Graph Inference and Personalized Recommendations. …

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Author(s): Deepak Ramachandran, Mark Fanty, Ronald Provine, Peter Yeh, William Jarrold, Adwait Ratnaparkhi, Benjamin Douglas

SIGDIAL'2015, Prague, Czech Republic, 09/02/2015

Belief Tracking with Stacked Relational Trees

  We describe a new model for Dialog State Tracking called a Stacked Relational Tree, which naturally models complex relationships between entities across user utterances. …

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Author(s): Deepak Ramachandran, Adwait Ratnaparkhi

SIGDIAL'2015, Prague, Czech Republic, 09/02/2015

An end-to-end dialog system for tv program discovery

In this paper, we present an end-to-end dialog system for TV program discovery that uniquely combines several technologies such as trainable relation extraction, belief tracking …

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Author(s): Deepak Ramachandran, Peter Z. Yeh, William Jarrold, Benjamin Douglas Adwait Ratnaparkhi, Ronald Provine, Jeremy Mendel, Adam Emfield

In Spoken Language Technology (SLT) Workshop. , 12/07/2014

A speech-driven second screen application for TV program discovery

In this paper, we present a speech-driven second screen application for TV program discovery. We give an overview of the application and its architecture. We …

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Author(s): Peter Yeh, Ben Douglas, William Jarrold, Adwait Ratnaparkhi, Deepak Ramachandran, Peter Patel-Schneider, Stephen Laverty, Nirvana Tikku, Sean Brown, Jeremy Mendel

Twenty-Sixth Conference of Innovative Applications of Artificial Intelligence (IAAI-14), 06/21/2014