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Polish Court Ruling Classification Using Deep Neural Networks.

Łukasz Kostrzewa1, Robert Nowak1

  • 1Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland.

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|March 26, 2022
PubMed
Summary
This summary is machine-generated.

This study uses natural language processing and neural networks to classify Polish court rulings, achieving over 99% accuracy. The fast, accurate method is suitable for practical legal tech applications.

Keywords:
Polish court rulingsartificial neural networkslaw text classificationmachine learningnatural language processing

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Area of Science:

  • Computational Linguistics
  • Artificial Intelligence
  • Legal Informatics

Background:

  • Classifying legal documents is crucial for legal tech and judicial efficiency.
  • Automated text classification of court rulings can streamline legal research and case management.
  • Existing methods may lack the accuracy or efficiency required for large-scale legal document analysis.

Purpose of the Study:

  • To develop and evaluate natural language processing models for classifying Polish court rulings.
  • To assess the performance of convolutional and recurrent neural networks for this task.
  • To analyze the feasibility of deploying these models in practical legal settings.

Main Methods:

  • Utilized a dataset of 144,784 anonymized Polish court rulings.
  • Employed natural language processing techniques, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
  • Experimented with various language embedding matrices and neural network architectures.

Main Results:

  • Achieved classification accuracy exceeding 99% for Polish court rulings.
  • Demonstrated the effectiveness of both CNN and RNN architectures in this domain.
  • Identified key factors influencing prediction accuracy and analyzed misclassified examples.

Conclusions:

  • High-accuracy automated classification of Polish court rulings is achievable using advanced NLP and neural network models.
  • The developed method is computationally efficient, suitable for deployment on standard server hardware (CPUs/GPUs).
  • This approach holds significant potential for enhancing efficiency and accessibility within the Polish legal system.