Relation Extraction on BioNLP ST 2013 (test)
99PrecisioniDepNN-ADP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| iDepNN-ADPSentence range (k)=0, Training range condition=k <= 12018.10 | 99 | 98 | 99 | |
| graphLSTMSentence range (k)=0, Training range condition=k <= 12018.10 | 98 | 97 | 97 | |
| i-biLSTMSentence range (k)=0, Training range condition=k <= 12018.10 | 98 | 97 | 97 | |
| iDepNN-ADPSentence range (k)=k <= 2, Training range condition=k <= 12018.10 | 98 | 95 | 96 | |
| iDepNN-ADPSentence range (k)=k <= 1, Training range condition=k <= 12018.10 | 97 | 94 | 95 | |
| i-biLSTMSentence range (k)=k <= 1, Training range condition=k <= 12018.10 | 96 | 95 | 95 | |
| iDepNN-ADPSentence range (k)=k <= 3, Training range condition=k <= 12018.10 | 96 | 91 | 93 | |
| SVMSentence range (k)=0, Training range condition=k <= 12018.10 | 95 | 90 | 92 | |
| SVMSentence range (k)=k <= 2, Training range condition=k <= 12018.10 | 95 | 90 | 92 | |
| SVMSentence range (k)=k <= 3, Training range condition=k <= 12018.10 | 95 | 90 | 92 | |
| graphLSTMSentence range (k)=k <= 2, Training range condition=k <= 12018.10 | 95 | 89 | 92 | |
| i-biRNNSentence range (k)=0, Training range condition=k <= 12018.10 | 95 | 94 | 94 | |
| graphLSTMSentence range (k)=k <= 1, Training range condition=k <= 12018.10 | 94 | 95 | 94 | |
| i-biRNNSentence range (k)=k <= 2, Training range condition=k <= 12018.10 | 94 | 92 | 93 | |
| i-biRNNSentence range (k)=k <= 3, Training range condition=k <= 12018.10 | 94 | 84 | 89 | |
| iDepNN-SDPSentence range (k)=0, Training range condition=k <= 12018.10 | 94 | 96 | 95 | |
| iDepNN-SDPSentence range (k)=k <= 1, Training range condition=k <= 12018.10 | 94 | 95 | 94 | |
| i-biLSTMSentence range (k)=k <= 2, Training range condition=k <= 12018.10 | 93 | 96 | 94 | |
| i-biRNNSentence range (k)=k <= 1, Training range condition=k <= 12018.10 | 93 | 90 | 91 | |
| i-biLSTMSentence range (k)=k <= 3, Training range condition=k <= 12018.10 | 91 | 93 | 92 | |
| iDepNN-SDPSentence range (k)=k <= 3, Training range condition=k <= 12018.10 | 91 | 94 | 92 | |
| graphLSTMSentence range (k)=k <= 3, Training range condition=k <= 12018.10 | 90 | 97 | 93 | |
| SVMSentence range (k)=k <= 1, Training range condition=k <= 12018.10 | 87 | 83 | 85 | |
| iDepNN-SDPSentence range (k)=k <= 2, Training range condition=k <= 12018.10 | 87 | 92 | 89 |