This paper addresses the task of automatic classification of semantic relations between nouns. We present an improved WordNet-based learning model which relies on the semantic inf...
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
Stefan Mutter, Bernhard Pfahringer, Geoffrey Holme...
Object recognition has been widely researched for several decades and in the recent years new methods capable of general object classification have appeared. However very few work ...
This paper presents ongoing work towards development of a reporting tool that provides group work facilitators with insight into group work processes. The work includes three main...
Collaborative tagging systems have the potential to produce socially constructed information organization schemes. The effectiveness of tags for finding and re-finding information...