An unsupervised probabilistic learning framework for normalizing product records across different retailer Web sites is presented. Our framework decomposes the problem into two ta...
Deterministic dependency parsing has often been regarded as an efficient parsing algorithm while its parsing accuracy is a little lower than the best results reported by more comp...
In the past five years, we have designed and evolved an interlingua for sharing explanations generated by various automated systems such as hybrid web-based question answering sys...
Deborah L. McGuinness, Li Ding, Paulo Pinheiro da ...
Digital tools for annotation of video have the promise to provide immense value to researchers in disciplines ranging from psychology to ethnography to computer science. With trad...
Joey Hagedorn, Joshua M. Hailpern, Karrie Karahali...
We describe an architecture for representing and managing context shifts that supports dynamic data interpretation. This architecture utilizes two layers of learning and three lay...
Nikita A. Sakhanenko, George F. Luger, Carl R. Ste...