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

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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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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Joint extraction and labeling via graph propagation for dictionary construction

In this paper, we present an approach that jointly infers the boundaries of tokens and their labels to construct dictionaries for Information Extraction. Our approach

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Alignment-based querying of linked open data

The Linked Open Data (LOD) cloud is rapidly becoming the largest interconnected source of structured data on diverse domains. The potential of the LOD cloud

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