Paper Info
Title
Evaluation of French and English MeSH indexing systems with a parallel corpus.
Abstract
This paper presents the evaluation of two MeSH indexing systems for French and English on a parallel corpus.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.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.MTI achieves better performance. However, both systems have features that can benefit each other.
Year
Venue
Keywords
2005
AMIA
par- allel corpus.,automatic indexing,internet,medical subject headings
Field
DocType
ISSN
Information retrieval,Computer science,Search engine indexing,Natural language processing,Artificial intelligence
Conference
1942-597X
Citations 
PageRank 
References 
11
0.86
8
Authors
4
Name
Order
Citations
PageRank
Aurélie Névéol156550.50
James G. Mork264765.22
Alan R. Aronson32551260.67
Stefan J Darmoni4243.99