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Evaluation of French and English MeSH indexing systems with a parallel corpus
Aurélie Névéol1, James G Mork, Alan R Aronson
1Laboratoire PSI-FRE 2645 CNRS -INSA de Rouen, France. aneveol@insa-rouen.fr
Objective:
This paper presents the evaluation of two MeSH indexing systems for French and English on a parallel corpus.
Material And Methods:
We describe two automatic MeSH in-dexing systems - MTI for English, and MAIF for French. The French version of the evaluation resources has been manually indexed with MeSH keyword/qualifier pairs. This professional indexing is used as our gold standard in the evaluation of both systems on keyword retrieval.
Results:
The English system (MTI) obtains significantly better precision and recall (78% precision and 21% recall at rank 1, vs. 37%. precision and 6% recall for MAIF ). Moreover, the performance of both systems can be optimised by the break-age function used by the French system (MAIF), which selects an adaptive number of descriptors for each resource indexed.
Conclusion:
MTI achieves better performance. However, both systems have features that can benefit each other.
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