Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operate...
This paper introduces a new method for the rapid development of complex rule bases involving cue phrases for the purpose of classifying text segments. The method is based on Ripple...
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...
A large corpus (about 100 MB of text) was selected and examples of 750 fl'equently occurring verbs were tagged with their compleinent (:lass as defined by a large computation...
Given a query on the PASCAL database maintained by the INIST, we design user interfaces to visualize and wo types of graphs extracted from abstracts: 1) the graph of all associati...