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A Legal Perspective on Training Models for Natural Language Processing
Second-order discretization schemes of stochastic differential systems for the computation of the invariant law
Abstract We Discretize in Time With Step-Size h a Stochastic Differential Equation Whose Solution has a Unique Invariant Probability Measure is the Solution of the …
GPT-3: Its Nature, Scope, Limits, and Consequences
Abstract In this commentary, we discuss the nature of reversible and irreversible questions, that is, questions that may enable one to identify the nature of …
Large Language Models for Legal Interpretation? Don’t Take Their Word for It
Recent breakthroughs in statistical language modeling have impacted countless domains, including the law. Chatbot applications such as ChatGPT, Claude, and DeepSeek—which incorporate “large” neural network-based …
Automated Extraction of Semantic Legal Metadata using Natural Language Processing
[Context] Semantic legal metadata provides information that helps with understanding and interpreting the meaning of legal provisions. Such metadata is important for the systematic analysis …
Possibilities of using artificial intelligence and natural language processing to analyse legal norms and interpret …
The study aaddressed the possibilities of using information technology and natural language in the study of legal norms. The study aimed to develop methods for …