Deepak Ramachandran

Deepak Ramachandran
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Main area of research
Natural language & AI

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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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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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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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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