Table 2

GeneId-Ranking Methods on Development Data

Mean Average Precision (MAP)


mouse development data


likely-prot + softTFIDF

0.450

possible-prot + softTFIDF

0.626


graph-based ranking

0.513

+ extra links

0.730

+ extra links & learning

0.807


Mean average precision of several geneId-ranking methods on the 50 abstracts from the mouse development dataset. The first two lines are NER systems, coupled with using softTFIDF to matching extracted names with gene synonyms. The graph-based ranking method (see text) ranks geneIds by proximity to a query abstract in a graph that includes the results of both NER systems.

Cohen and Minkov BMC Bioinformatics 2006 7:440   doi:10.1186/1471-2105-7-440

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