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Pytorch Solution of Event Extraction Task using BERT on ACE 2005 corpus

1. PrepareACE 2005 dataset.

2. Usenlpcl-lab/ace2005-preprocessing to preprocess ACE 2005 dataset in the same format as thedata/sample.json. Then place it in the data directory as follows:

   ├── data│     └── test.json│     └── dev.json│     └── train.json│...

3. Install the packages.

   pip install pytorch==1.0 pytorch_pretrained_bert==0.6.1 numpy

python train.py

python eval.py --model_path=latest_model.pt

The performance of this model is low in argument classification even though pretrained BERT model was used. The model is currently being updated to improve the performance.

• Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation (EMNLP 2018), Liu et al.[paper]
• lx865712528's EMNLP2018-JMEE repository[github]
• Kyubyong's bert_ner repository[github]