A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
This research focused on the prediction that children in their school setting would learn more from educational multimedia when critical information was presented as spoken instead...
Bruce L. Mann, P. Newhouse, J. Pagram, A. Campbell...
In this paper, we propose a new methodology based on directed weighted graphs and the TextRank algorithm to automatically induce general-specific noun relations from web corpora f...
We introduce a new method for detecting intrusions based on the temporal behavior of applications. It builds on an existing method of application intrusion detection developed at ...