Charles Ortiz

Charles Ortiz
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Main area of research
Natural language & AI

Charles Ortiz is the Senior Principal Manager of the Artificial Intelligence and Reasoning Group at the Nuance Natural Language and AI Laboratory in Sunnyvale California.  His research at Nuance focuses on collaborative dialog systems and commonsense reasoning for personal assistants. Prior to joining Nuance, he was the director of research in collaborative multi-agent systems at the AI Center at SRI International. His research interests and contributions are in multiagent systems (collaborative dialogue-structured assistants, collaborative work environments, negotiation protocols, and logic-based BDI theories), knowledge representation and reasoning (causation, counterfactuals, and commonsense reasoning), and robotics (cognitive robotics, team-based robotics, and dialogue-based human-robot interaction). He has approximately 20 years of technical leadership and management experience in leading major projects and setting strategic directions. He has collaborated extensively with faculty and students at many academic institutions including Harvard University, Bar-Ilan University, UC Berkeley, Columbia University, University of Southern California, Vassar College, and Carnegie Mellon University. He holds an S.B. in Physics from MIT, an M.S. in Computer Science from Columbia University, and a Ph.D. in Computer and Information Science from the University of Pennsylvania. Following his PhD research, he was a Postdoctoral Research Fellow at Harvard University. He has taught courses at Harvard and was also an adjunct faculty member at UC Berkeley.  He has presented numerous tutorials at technical conferences (IJCAI 1999 and 2005, AAAI 2002 and 2004, AAMAS 2002-2004).

Selected articles

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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Dynamic intention structures for dialogue processing

We examine personal assistance dialogues and argue that some form of constraint relaxation is necessary during discourse segmentation as often only a subset of the constraints present in the

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On the revision of dynamic intention structures

We developed the theory of Dynamic Intention Structures to represent and reason with the incompletely specified and, possibly, mutually dependent intentions as well as the

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The road to natural conversational speech interfaces

To realize truly conversational speech interfaces for applications such as virtual personal assistants, a number of technical challenges must be addressed. This article presents a

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Real-time dynamic coalition formation

We briefly describe an implementation of a fully reactive, real-time approach to the problem of dynamic negotiation in the context of a real time distributed

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