In this paper, we focus on the recommendations of applicable law articles for a given criminal case. This is a multi-label problem in nature, since it is common ...
In this paper, we exploited some natural language processing. (NLP) and deep learning techniques to extract 4ey features from. semiYstructured judicial ...
In this paper, we exploited some natural language processing. (NLP) and deep learning techniques to extract 4ey features from. semiYstructured judicial ...
Deep learning-based image processing algorithms, including image super-resolution methods, have been proposed with significant improvement in performance in ...
Jul 15, 2022 · The main aim of this paper is to present a review of legal documents intelligent processing based on deep learning from legal documents representation.
Oct 20, 2024 · journal：2022 International Conference on Computational Science and Computational Intelligence (CSCI) Authors：JingZi Wang; Chao-Lin Liu
Nov 6, 2024 · '…Generative AI can create original images, analyze documents, and draft briefs based on written prompts. Often, these programs rely on ...
In this article, we investigate deep learning techniques to identify false facts in loan cases for the purpose of reducing the judicial workload.
Dec 5, 2023 · Deep Learning emerges as a powerful force within intelligent document processing, revolutionizing how businesses handle documents.
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The LAWBOT project aims to create an artificial case-law intelligence capable of predicting the judicial outcome for a given case.