We observe that in general our languageindependent (monolingual) Bi-LSTM-Char-CRF and BERT-CRF methods are on par with or outperform best attainable results.
bERT-CRF trained monolingually using bERT(base) embeddings outperforms other baselines for both EN and ZH, with F1-scores of 79.2 and 75.3 on trigger identification and classification, respectively, amounting to a 3.3% and 1.6% gain for EN.