Miguel Ruiz

Miguel Ruiz
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Main area of research
Natural language & AI

He is currently a Principal Research Engineer in the Clinical Language Understanding group with research interests in Natural Language Processing, Machine Learning, Information Retrieval, and Information Extraction. Prior to joining Nuance, Miguel worked as an Associate Professor at the University of North Texas, as an Assistant Professor at the University of New York at Buffalo and as a Senior Researcher at TextWise Labs. He has a PhD in Information Retrieval and Intelligent Systems and a MS in Computer Science from the University of Iowa, a MS in Statistics and a BS in System Engineering from the Universidad de Los Andes (Venezuela).

Selected articles

UNT at Imageclef 2011: relevance models and salient semantic analysis for image retrieval

This paper presents the result of the team of the University of North Texas in the ImageCLEF 2011 Wikipedia and Medical Image Retrieval tasks. For

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Improving query expansion for image retrieval via saliency and picturability

In this paper, we present a Wikipedia-based approach to query expansion for the task of image retrieval, by combining salient encyclopaedic concepts with the picturability

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UNT at CLEF 2010: CLIR for Wikipedia Images

Abstract. This paper presents the results of the team of the University of North Texas in the Wikipedia image retrieval track of Image-CLEF-2010. Our approach

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User’s image seeking behavior in a multilingual tag environment

This paper presents the results of a user study conducted in the framework of the Interactive Image Retrieval task at CLEF 2009. The main goal

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UNT at ImageCLEFmed 2009

For this year our team participated in the medical image retrieval task. Most of our effort was invested in processing the collection using Metamap to

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