I am a third year M.S./Ph.D. student in the Information Extraction and Synthesis Laboratory (IESL), part of the Center for
Intelligent Information Retrieval (CIIR) in the Computer Science Department at the University of Massachusetts at Amherst. My adviser is Andrew McCallum.
Machine learning methods that categorize, extract, rank, and synthesize information are appealing solutions to the information overload problem. Unfortunately, supervised machine learning
methods require labeled examples for model training, and obtaining labels typically involves laborious human annotation. My primary research interests lie in developing solutions to this problem, such
as leveraging unlabeled information (unsupervised and semi-supervised learning), requesting supervision only where most beneficial (active learning), using information from other domains or related
problems (domain adaptation and transfer learning), and incorporating existing domain knowledge into learning.
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5/11/08: This summer I will be working with Gideon Mann at Google in New York.
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