Table 6

Incorporating Genia data with training data for ID track

Model

Recall

Precision

F1


ID

38.0

59.3

46.3

ID (×1) + GE

40.2

52.0

45.3

ID (×2) + GE

41.7

52.4

46.4

ID (×3) + GE

45.0

54.8

49.4

ID (×4) + GE

43.8

55.2

48.9

ID (×5) + GE

44.7

55.1

49.4


Impact of merging several copies of ID training set with GE training and development sets for the Stanford model. F1 scores are on ID development data (2N parser only, Core metric). Best performance is achieved when using three to five copies of ID to allow GE data to be used without overwhelming the ID data.

McClosky et al. BMC Bioinformatics 2012 13(Suppl 11):S9   doi:10.1186/1471-2105-13-S11-S9

Open Data