Text-mess in the Medical Retrieval ImageCLEF08 Task
نویسندگان
چکیده
This paper describes our participation in the Medical Retrieval task at ImageCLEF 2008. We present the joint work of two teams belonging to the TEXT-MESS project using a new system that combines the 2 individual systems of these teams. The aim of the experiments performed is to figure out if there are techniques used in one of the two systems which can complement the other system in order to improve their performance. The best results obtained in the training phase and in the competition has been reached with a configuration which uses the IR-n system with a negative query expansion based on the acquisition type of the image mixed with the SINAI system with a MeSH based query expansion. We have obtained a MAP of 0.2777 for our best run, obtaining the 5th place in the ranking of textual participant runs submitted, and the 6th place in the global classification.
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