Kevyn's picture

Kevyn Collins-Thompson

 

Graduate Student
School of Computer Science (LTI)

Office: 3612B Newell-Simon Hall
Phone: +1-412-268-7296
Fax: +1-412-268-6298
Email: kct+web AT cs . cmu . edu

Mailing Address:
Carnegie Mellon University
5000 Forbes Avenue
4502 Newell Simon Hall, LTI
Pittsburgh, PA 15213-8213

 



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My primary research interests involve the application of machine learning to information organization and retrieval problems. I'm also interested in text mining, statistical language modeling, natural language processing, and computer-assisted language learning. My advisor is Jamie Callan.

In my thesis work, I begin by developing methods for quantifying risk at certain important points in the retrieval process by estimating the variance in retrieval model parameters using efficient resampling. I then exploit this new information in different ways to improve the precision and robustness of retrieval algorithms.

Another direction we're persuing is improving search utility by incorporating user profiles into retrieval models, especially for educational tasks. My recent work also includes using simple statistical language models to predict the reading difficulty of web pages and other non-traditional documents, algorithms for novelty detection, and open-domain question answering.

Formerly I was a member of the ePaper group at Microsoft Research in Redmond, Washington.  My work there addressed automatic classification, segmentation, and searching of document images.  Some earlier projects include: the design and implementation of a component-based IR system, developing techniques for compression, storage, and display of large multimedia collections, and a prototype software architecture for building very fast, cache-intensive servers on SMP machines.

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Last updated on February 14, 2008.