Natural Language Processing for Legal Texts
Almost all law is expressed in natural language; therefore, natural language processing (NLP) is a key component of understanding and predicting law. Natural language processing …
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Almost all law is expressed in natural language; therefore, natural language processing (NLP) is a key component of understanding and predicting law. Natural language processing …
Abstract The widespread usage of machine learning systems and econometric methods in the credit domain has transformed the decision-making process for evaluating loan applications. Automated …
Researchers and practitioners from different disciplines have highlighted the ethical and legal challenges posed by the use of machine learned models and data-driven systems, and …
This article examines the intricate legal landscape surrounding the use of copyrighted materials in the development of artificial intelligence (AI). It explores the rise of …
This article summarizes best practices by organizations to manage their data, which should encompass the full range of responsibilities borne by the use of data …
The Labor Movement & Civil Rights in the Modern Era The Georgetown Law Journal is hosting its Volume 114 Symposium on “The Labor Movement and …
Boundary-conforming coordinate transformations are used widely to map a flow region onto a computational space in which a finite-difference solution to the differential flow conservation …
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTInternal model control. 3. Multivariable control law computation and tuning guidelinesCarlos E. Garcia and Manfred MorariCite this: Ind. Eng. Chem. Process Des. …