language:ind license:unknown legal-classification region:us
This study presents predictions of first-level judicial decisions by utilizing a collection of Indonesian court decision documents. 
We propose using multi-level learning, namely, CNN+attention, using decision document sections as features to predict the category and the length of punishment in Indonesian courts. 
Our results demonstrate that the decision document sections that strongly affected the accuracy of the prediction model were prosecution history, facts, legal facts, and legal considerations.
@article{nuranti2022predicting,
  title={Predicting the Category and the Length of Punishment in Indonesian Courts Based on Previous Court Decision Documents},
  author={Nuranti, Eka Qadri and Yulianti, Evi and Husin, Husna Sarirah},
  journal={Computers},
  volume={11},
  number={6},
  pages={88},
  year={2022},
  publisher={Multidisciplinary Digital Publishing Institute}
}
---
license: unknown
tags:
- legal-classification
language:
- ind
---

# indo_law

This study presents predictions of first-level judicial decisions by utilizing a collection of Indonesian court decision documents. 

We propose using multi-level learning, namely, CNN+attention, using decision document sections as features to predict the category and the length of punishment in Indonesian courts. 

Our results demonstrate that the decision document sections that strongly affected the accuracy of the prediction model were prosecution history, facts, legal facts, and legal considerations.

## Dataset Usage

Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.

## Citation

```
@article{nuranti2022predicting,
  title={Predicting the Category and the Length of Punishment in Indonesian Courts Based on Previous Court Decision Documents},
  author={Nuranti, Eka Qadri and Yulianti, Evi and Husin, Husna Sarirah},
  journal={Computers},
  volume={11},
  number={6},
  pages={88},
  year={2022},
  publisher={Multidisciplinary Digital Publishing Institute}
}
```

## License

Unknown


### NusaCatalogue

For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)