GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction (link) EACL'21

Dependencies

• Python 3.6.10
• Transformers: transformers 2.4.1 installed from source.
• Pytorch-Lightning==0.7.1
• Pytorch==1.4.0
• seqeval

Dataset

• ./data/muc, refer to ./data/muc/README.md for details

Eval

• import eval_ceaf, from eval import eval_ceaf, read eval.py for details
• eval on preds.out python eval.py --pred_file model_gtt/preds_s_t.out
• run simple test case: python test_cases_eval.py

GRIT model

• The encoder-decoder model (code is written based on hugging face transformers/examples/ner/3ee431d
• How to run: see README in model_gtt

Citation

If you use materials in this repo helpful, please cite.