Abstract. We focus on two recently proposed algorithms in the family of “boosting”-based learners for automated text classification, AdaBoost.MH and AdaBoost.MHKR . While the ...
Pio Nardiello, Fabrizio Sebastiani, Alessandro Spe...
As more and more structured documents, such as SGML or XML documents become available on the Web, there is a growing demand to develop effective structured document retrieval which...
Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For ...
Abstract. In this paper the suitability of different document representations for automatic document classification is compared, investigating a whole range of representations be...
We present a user-centred, task-oriented, comparative evaluation of two query-based document skimming tools. ProfileSkim bases within-document retrieval on computing a relevance pr...