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Table 7 Annotation hierarchy subtask, sorted by F-score.

From: The TREC 2004 genomics track categorization task: classifying full text biomedical documents

Run Group (reference) Precision Recall F-score
lgcad1 indiana.u.seki [7] 0.4415 0.7697 0.5611
lgcad2 indiana.u.seki [7] 0.4275 0.7859 0.5537
wiscWRT u.wisconsin [8] 0.4386 0.6202 0.5138
wiscWT u.wisconsin [8] 0.4218 0.6263 0.5041
dimacsAg3mh rutgers.dayanik [3] 0.5344 0.4545 0.4913
NLMA1 nlm.umd.ul [12] 0.4306 0.5515 0.4836
wiscWR u.wisconsin [8] 0.4255 0.5596 0.4834
NLMA2 nlm.umd.ul [12] 0.427 0.5374 0.4758
wiscW u.wisconsin [8] 0.3935 0.5596 0.4621
KoikeyaHi1 u.tokyo (none) 0.3178 0.7293 0.4427
iowarun3 u.iowa [22] 0.3207 0.6 0.418
iowarun1 u.iowa [22] 0.3371 0.5434 0.4161
iowarun2 u.iowa [22] 0.3812 0.4505 0.413
BIOTEXT22 u.cberkeley.hearst [16] 0.2708 0.796 0.4041
BIOTEXT21 u.cberkeley.hearst [16] 0.2658 0.8141 0.4008
dimacsAl3w rutgers.dayanik [3] 0.5015 0.3273 0.3961
GUCsvm0 german.u.cairo [11] 0.2372 0.7414 0.3595
GUCir50 german.u.cairo [11] 0.2303 0.8081 0.3584
geneteamA5 u.hospital.geneva [18] 0.2274 0.7859 0.3527
GUCir30 german.u.cairo [11] 0.2212 0.8404 0.3502
geneteamA4 u.hospital.geneva [18] 0.209 0.9354 0.3417
BIOTEXT24 u.cberkeley.hearst [16] 0.4452 0.2707 0.3367
GUCsvm5 german.u.cairo [11] 0.2052 0.9354 0.3366
cuhkrun3 chinese.u.hongkong (none) 0.4174 0.2808 0.3357
geneteamA2 u.hospital.geneva [18] 0.2025 0.9535 0.334
dimacsAabsw1 rutgers.dayanik [3] 0.5979 0.2283 0.3304
BIOTEXT23 u.cberkeley.hearst [16] 0.4437 0.2626 0.3299
geneteamA1 u.hospital.geneva [18] 0.1948 0.9778 0.3248
geneteamA3 u.hospital.geneva [18] 0.1938 0.9798 0.3235
GUCbase german.u.cairo [11] 0.1881 1 0.3167
BIOTEXT25 u.cberkeley.hearst [16] 0.4181 0.2525 0.3149
cuhkrun2 chinese.u.hongkong (none) 0.4385 0.2303 0.302
cuhkrun1 chinese.u.hongkong (none) 0.4431 0.2283 0.3013
dimacsAp5w5 rutgers.dayanik [3] 0.5424 0.1939 0.2857
dimacsAw20w5 rutgers.dayanik [3] 0.6014 0.1677 0.2622
iowarun4 u.iowa [22] 0.1692 0.1333 0.1492
Mean   0.3600 0.5814 0.3824