Our group within the University of Amsterdam participated in the large-scale visual concept detection task of ImageCLEF 2010. The submissions from our visual concept detection sys...
There has been a growing interest in monitoring the social media presence of companies for improved marketing. Many public APIs are available for tapping into the data, and there a...
In this paper we describe our approach at the PAN 2010 plagiarism detection competition. We refer to the system we have used in PAN'09. We then present the improvements we hav...
In this paper we will describe Berkeley's approach to the ImageCLEF Wikipedia Retrieval task for 2010. Our approach to this task was primarily to use text-based searches on th...
Abstract This vandalism detector uses features primarily derived from a wordpreserving differencing of the text for each Wikipedia article from before and after the edit, along wit...
Abstract. Most Information Retrieval models take documents as Bagof-Words and are thereby bound to the language of the documents. In this paper, we present an approach using Linked...
In this paper, we present the LIP6 annotation models for the ImageCLEFannotation 2010 task. We study two methods to train and merge the results of different classifiers in order to...
Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usuni...
Abstract. Our participation at ResPubliQA 2010 was based on applying an Information Retrieval (IR) engine of high performance and a validation step for removing incorrect answers. ...