This paper describes our participation in the Medical Image Retrieval task of Image CLEF 2008. Our aim was to evaluate different combination methods for purely textual and visual ...
Abstract. This paper addresses the issue of simplifying natural language texts in order to ease the task of accessing factual information contained in them. We define the notion of...
Beata Beigman Klebanov, Kevin Knight, Daniel Marcu
The large-scale visual concept detection and annotation task (LS-VCDT) in ImageCLEF 2009 aims at the detection of 53 concepts in consumer photos. These concepts are structured in ...
We describe an evaluation of result set filtering techniques for providing ultra-high precision in the task of presenting related news for general web queries. In this task, the n...
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury...
When trained and evaluated on accurately labeled datasets, online email spam filters are remarkably effective, achieving error rates an order of magnitude better than classifie...