Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
We study the problem of topic segmentation of manually transcribed speech in order to facilitate information extraction from dialogs. Our approach is based on a combination of mul...
Populating the Cyc Knowledge Base (KB) has been a manual process until very recently. However, there is currently enough knowledge in Cyc for it to be feasible to attempt to acqui...
Purvesh Shah, David Schneider, Cynthia Matuszek, R...
Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their content, and thus remains an important step in many computer vision ...
A wealth of knowledge is encoded in the form of tables on the World Wide Web. We propose a classification algorithm and a rich feature set for automatically recognizing layout tab...