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Table 6 Incorporating Genia data with training data for ID track

From: Combining joint models for biomedical event extraction

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
  1. 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.