Cross language information retrieval is a field of study that has received significant research attention, resulting in systems that despite the errors of automatic translation (f...
Mark Sanderson, Paul Clough, Catherine Paterson, W...
We present a holistic data-driven approach to image description generation, exploiting the vast amount of (noisy) parallel image data and associated natural language descriptions ...
Polina Kuznetsova, Vicente Ordonez, Alexander C. B...
When short queries and short image annotations are used in text-based cross-language image retrieval, small changes in word usage due to translation errors may decrease the retriev...
We reported some experiments conducted by our members in the SIG team at the IRIT laboratory in the CLEF medical retrieval task, namely ImageCLEFmed. In 2010, we are particularly i...
Biomedical images are invaluable in establishing diagnosis, acquiring technical skills, and implementing best practices in many areas of medicine. At present, images needed for in...
Daekeun You, Sameer Antani, Dina Demner-Fushman, M...