LawChatAI/aym-xai-dataset

For citing:

@INPROCEEDINGS{11206864,
  author={Erdoğanyılmaz, Cihan and Naç, Ali Yasir},
  booktitle={2025 10th International Conference on Computer Science and Engineering (UBMK)}, 
  title={Predicting Norm Control Decisions of the {Turkish} {Constitutional} {Court} Using {Explainable} {AI} Techniques}, 
  year={2025},
  pages={657-662},
  abstract={The application of Natural Language Processing (NLP) to Legal Judgment Prediction (LJP) has gained significant momentum, yet most research in the Turkish legal domain has focused on individual applications to the Constitutional Court. This paper addresses a critical gap by tackling, for the first time, the prediction of norm control decisions, which involve the abstract constitutional review of legislation. We frame this as a binary classification task to predict annulment or rejection outcomes. A novel dataset was curated from publicly available court decisions and meticulously preprocessed to prevent data leakage. We establish a reasonable baseline performance using a Transformer-based model pre-trained on a large Turkish corpus and introduce a novel Explainable AI (XAI) approach to interpret these predictions by analyzing the model’s focus. This foundational work opens a new and challenging frontier for LJP research, focusing on a higher level of legal abstraction.},
  keywords={Analytical models;Law;Explainable AI;Reviews;Computational modeling;Legislation;Focusing;Predictive models;Transformers;Natural language processing;Legal Judgment Prediction;Natural Language Processing;Transformer Models;Turkish Constitutional Court;Norm Control;Explainable AI},
  doi={10.1109/UBMK67458.2025.11206864},
  ISSN={2521-1641},
  month={sep}
}