Software tools are used to compare multiple versions of a textual document to help a reader understand the evolution of that document over time. These tools generally support the ...
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
Abstract. Automated language identification of written text is a wellestablished research domain that has received considerable attention in the past. By now, efficient and effecti...
Multi-view algorithms reduce the amount of required training data by partitioning the domain features into separate subsets or views that are sufficient to learn the target concep...
: The complex usage of mobile devices coupled with their limited resources in terms of display and processing suggests that being able to understand the context of the user would b...