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

Building a lightweight semantic model for unsupervised information extraction on hort listings

Short listings such as classified ads or product listings abound on the web. If a computer can reliably extract information from them, it will greatly

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Accelerating the discovery of data quality rules: a case study

Poor quality data is a growing and costly problem that affects many enterprises across all aspects of their business ranging from operational efficiency to revenue

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Contextual ontology alignment of LOD with an upper ontology: a case study with proton

The Linked Open Data (LOD) is a major milestone towards realizing the Semantic Web vision, and can enable applications such as robust Question Answering (QA)

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Ontology alignment of linked open data

The Web of Data currently coming into existence through the Linked Open Data (LOD) effort is a major milestone in realizing the Semantic Web vision.

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A tool for measuring the reality of technology trends of interest

In this paper, we present a prototype application – the Technology Trend Tracker – to measure the reality of technology trends of interest using information

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