For ZH, we obtain F1-scores of 84.4% and 79.9%, amounting to an increase of 16.2% and 16.9% over the previous state-of-the-art.
although results using Bi-LSTM-Char-CRF lag behind state-of-the-art for EN, incurring a loss of 10.5% over trigger classification, they are competitive for ZH, with scores of 86.6% and 69.5% and gains of 17.9% and 6.2% over Feng's HNN for trigger identification and classification respectively.