Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
A Multi-target user interface is composed of a series of interconnected variations of the same user interfaces, but tailored for different targets or different contexts of use. Wh...
We introduce a general model of refinement. This is defined in terms of what contexts an entity can appear in, and what observations can be made of it in those contexts. We show e...
Being mobile influences not only the types of information people seek but also the ways they attempt to access it. Mobile contexts present challenges of changing location and soci...
Timothy Sohn, Kevin A. Li, William G. Griswold, Ja...