Main area of research
Natural language & AI
Adwait Ratnaparkhi is a Conversational Systems Architect in the Sunnyvale Natural Language & Artificial Intelligence Lab. Prior to joining Nuance, Adwait held a variety of research and development positions in the areas of natural language processing, online advertising, machine learning, and conversational systems. He received a B.S.E. from Princeton University in 1992 and a Ph.D. from the University of Pennsylvania in 1998, both in Computer Science. His Ph.D. thesis was titled “Maximum entropy models for natural language ambiguity resolution”. His past employers include the research laboratories of IBM, Microsoft and Yahoo. He also has worked for several startups, including 33Across, where he served as the Chief Scientist.
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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Voice in the user interface
Interacting with voice-based interfaces on a broad variety of devices spanning smartphones, tablets, TVs, cars, and kiosks is becoming a routine part of daily life. …
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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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Mining large-scale knowledge graphs to discover inference paths for query expansion in NLIDB
In this paper, we present an approach to mine large-scale knowledge graphs to discover inference paths for query expansion in NLIDB (Natural Language Interface to …
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