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Transforming legal text interactions: leveraging natural language processing and large language models for legal support in Palestinian cooperatives
In recent years, there has been a remarkable transformation in our interaction with legal texts due to the widespread utilization and adoption of...
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Multi-label classification of legal text based on label embedding and capsule network
With the development of deep learning technology and the disclosure of legal texts, the classification of legal texts has attracted the attention of...
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Modeling of automated glowworm swarm optimization based deep learning model for legal text summarization
Automatic legal text summarization becomes a challenging process because of unusual structure and high complexity of the documents. Existing works...
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Exploring Text Decoding Methods for Portuguese Legal Text Generation
In recent years, there has been considerable growth in the volume of legal proceedings in Brazil. In this context, there is a lot of potential in...
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How Legal Knowledge Graph Can Help Predict Charges for Legal Text
The existing methods for predicting Easily Confused Charges (ECC) primarily rely on factual descriptions from legal cases. However, these approaches...
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Enhancing LSTM and Fusing Articles of Law for Legal Text Summarization
The growing number of public legal documents has led to an increased demand for automatic summarization. Considering the well-organized structure of...
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Enhancing Legal Text Entailment with Prompt-Based ChatGPT: An Empirical Study
This research paper focuses on the task of legal text entailment, which involves determining whether a given statement logically follows from the...
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A Comprehensive Analysis of Indian Legal Documents Summarization Techniques
In the Legal AI field, the summarization of legal documents is very challenging. Since the Indian case documents are much noisier and poorly...
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CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs
Legal case retrieval is an information retrieval task in the legal domain, which aims to retrieve relevant cases with a given query case. Recent...
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Algorithmic Thinking for the Legal Writing: The Case of Italian Election Law
We examine the Italian election law as a case study to illustrate how the algorithmic thinking can productively interoperate with the legal language...
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Kalt: generating adversarial explainable chinese legal texts
Deep neural networks (DNNs) are vulnerable to adversarial examples (AEs), which are well-designed input samples with imperceptible perturbations....
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Detection of Redacted Text in Legal Documents
We present a technique for automatically detecting redacted text in legal documents, using a combination of Optical Character Recognition (OCR) and...
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Towards a machine understanding of Malawi legal text
Legal professionals in Malawi rely on a limited number of textbooks, outdated law reports and inadequate library services. Most documents available...
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A novel network-based paragraph filtering technique for legal document similarity analysis
The common law system is a legal system that values precedent, or previous court decisions, in the resolution of current cases. As the availability...
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A hybrid model utilizing transfer learning for legal citation linking
The advent of transfer learning and its applications in Natural Language Processing (NLP) open the path to rule legal text data processing tasks....
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Self-training improves few-shot learning in legal artificial intelligence tasks
As the labeling costs in legal artificial intelligence tasks are expensive. Therefore, it becomes a challenge to utilize low cost to train a robust...
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Attentive deep neural networks for legal document retrieval
Legal text retrieval serves as a key component in a wide range of legal text processing tasks such as legal question answering, legal case...
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Enhancing legal judgment summarization with integrated semantic and structural information
Legal Judgment Summarization (LJS) can highly summarize legal judgment documents, improving judicial work efficiency in case retrieval and other...
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Evaluating Text Classification in the Legal Domain Using BERT Embeddings
Brazil’s justice system faces grave case backlogs stemming from surging caseloads. This research explores automated text classification to expedite...
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Graph contrastive learning networks with augmentation for legal judgment prediction
Legal Judgment Prediction (LJP) is a typical application of Artificial Intelligence in the intelligent judiciary. Current research primarily focuses...
