Legal Judgment Prediction: A Survey of the State of the Art
Abstract
Automatic legal judgment prediction (LJP) has recently received increasing attention in the natural language processing community in part because of its practical values as well as the associated research challenges. We present an overview of the major milestones made in LJP research covering multiple jurisdictions and multiple languages, and conclude with promising future research directions.
Cite
Text
Feng et al. "Legal Judgment Prediction: A Survey of the State of the Art." International Joint Conference on Artificial Intelligence, 2022. doi:10.24963/IJCAI.2022/765Markdown
[Feng et al. "Legal Judgment Prediction: A Survey of the State of the Art." International Joint Conference on Artificial Intelligence, 2022.](https://mlanthology.org/ijcai/2022/feng2022ijcai-legal/) doi:10.24963/IJCAI.2022/765BibTeX
@inproceedings{feng2022ijcai-legal,
title = {{Legal Judgment Prediction: A Survey of the State of the Art}},
author = {Feng, Yi and Li, Chuanyi and Ng, Vincent},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2022},
pages = {5461-5469},
doi = {10.24963/IJCAI.2022/765},
url = {https://mlanthology.org/ijcai/2022/feng2022ijcai-legal/}
}