Peter Yeh

Peter Yeh
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Main area of research
Natural language & AI

Peter Z. Yeh is a research scientist within the Natural Language and Artificial Intelligence Lab at Nuance. His research interests lie at the intersection of semantic technologies, data and web mining, and natural language understanding. He also has extensive experience and interest in the application of these technologies to real-world problems such as competitive intelligence, data and information management, content analytics, and virtual assistants. He has published over 40 technical articles and has been granted several patents in the aforementioned areas. He received his PhD in computer science from The University of Texas at Austin.

Selected articles

Resolving Over-constrained Conditional Temporal Problems Using Semantically Similar Alternatives

In recent literature, several approaches have been developed to solve over-constrained travel planning problems, which are often framed as conditional temporal problems with discrete choices.

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The Social-Emotional Turing Challenge

Social-emotional intelligence is an essential part of being a competent human and is thus required for human-level AI. When considering alternatives to the Turing Test

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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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Ontologies in Enterprise Applications: Dimensional Comparison

Many important categories of applications such as information integration, data analytics, and personal assistance require access to a general store of knowledge. The usefulness of

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CogMap: A Cognitive Support Approach to Property and Instance Alignment

CogMap: A Cognitive Support Approach to Property and Instance Alignment The iterative user interaction approach for data integration proposed by Falconer and Noy can be

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