It has started in April 1998 and will finish in 2001.
Many systems use a subset of the words contained in the document to represent the content.
Retrieval programs generally address these problems by expanding the query words by related terms from a thesaurus. But again this is only possible if the meaning of the word is unambiguously known. If we accept the hypothesis that resolving ambiguity is essential and will lead to an improvement in the performance of these systems, the question is how to disambiguate the words. In this project, we propose a method based on existing medical terminological resources on the one hand, and statistical tools for linguistic annotation on the other, in order to develop more satisfactory indexing techniques for patient reports. These hypotheses have been tested in the following way.