This chapter considers, on the one hand, extensions of Description Logics by features not available in the basic framework, but considered important for using Description Logics a...
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
A common feature of congestion control protocols is the presence of information packets used to signal congestion. We address here the question of how frequently such protocols nee...
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...