Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
OLAP users heavily rely on visualization of query answers for their interactive analysis of massive amounts of data. Very often, these answers cannot be visualized entirely and th...
Ladjel Bellatreche, Arnaud Giacometti, Patrick Mar...
Today's natural language processing systems are growing more complex with the need to incorporate a wider range of language resources and more sophisticated statistical metho...
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
In this paper we present a methodology for extracting subcategorisation frames based on an automatic LFG f-structure annotation algorithm Penn-II Treebank. We extract abstract syn...
Ruth O'Donovan, Michael Burke, Aoife Cahill, Josef...