Computer Science – Computation and Language
Scientific paper
2000-11-02
Proceedings of the 2nd International Conference on Language Resources and Evaluation (LREC-2000), pp.1637-1641, Jun. 2000
Computer Science
Computation and Language
5 pages
Scientific paper
In information retrieval research, precision and recall have long been used to evaluate IR systems. However, given that a number of retrieval systems resembling one another are already available to the public, it is valuable to retrieve novel relevant documents, i.e., documents that cannot be retrieved by those existing systems. In view of this problem, we propose an evaluation method that favors systems retrieving as many novel documents as possible. We also used our method to evaluate systems that participated in the IREX workshop.
Fujii Atsushi
Ishikawa Tetsuya
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