We implement the model from [DEGREE: A Data-Efficient Generation-Based Event Extraction Model](https://arxiv.org/abs/2108.12724). This model suports end-to-end event extraction, event detection, and event argument extraction. The code is adapted from the original [codebase](https://github.com/PlusLabNLP/DEGREE).

```bib
@inproceedings{Hsu22degree,
  author       = {I{-}Hung Hsu and
                  Kuan{-}Hao Huang and
                  Elizabeth Boschee and
                  Scott Miller and
                  Prem Natarajan and
                  Kai{-}Wei Chang and
                  Nanyun Peng},
  title        = {{DEGREE:} {A} Data-Efficient Generation-Based Event Extraction Model},
  booktitle    = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)},
  year         = {2022},
}
```
