A 1D CNN with FastText embeddings classifies legal texts at 97.26% accuracy using 5.1 million parameters and runs over 13 times faster than BERT.
Journal ofComputationalMethodsinSciencesandEngineering,14727978251361281(2024)
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Towards Intelligent Legal Document Analysis: CNN-Driven Classification of Case Law Texts
A 1D CNN with FastText embeddings classifies legal texts at 97.26% accuracy using 5.1 million parameters and runs over 13 times faster than BERT.