This paper presents a large-scale system for the recognition and semantic disambiguation of named entities based on information extracted from a large encyclopedic collection and ...
This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...
The proliferation of electronic content has notably lead to the apparition of large corpora of interrelated structured documents (such as HTML and XML Web pages) and semantic annot...
On the Web, there is a pervasive use of XML to give lightweight semantics to textual collections. Such documentcentric XML collections require a query language that can gracefully...
Jaap Kamps, Maarten Marx, Maarten de Rijke, Bö...
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...