This paper borrows ideas from social science to inform the design of novel "sensing" user-interfaces for computing technology. Specifically, we present five design chall...
Victoria Bellotti, Maribeth Back, W. Keith Edwards...
Word sense disambiguation (WSD) systems based on supervised learning achieved the best performance in SensEval and SemEval workshops. However, there are few publicly available ope...
The original SenseMaker interface for information exploration [2] used tables to present heterogeneous document descriptions. In contrast, printed bibliographies and World Wide We...
We present TOURVIZ, a system that helps its users to interactively visualize and make sense in large network datasets. In particular, it takes as input a set of nodes the user spe...
Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Han...