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. ...
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...
In this paper we describe the system we developed for taking part in monolingual Spanish and English tasks at ResPubliQA 2009. Our system was composed by an IR phase focused on im...
This paper presents the LIG contribution to the CLEF 2007 medical retrieval task (i.e. ImageCLEFmed). The main idea in this paper is to incorporate medical knowledge in the langua...
In Jijkoun et al. [2004] we showed that off-line answer extraction using syntactic patterns is a successful method for answering English factoid questions. In this paper I will di...