CURRENCY OF LEGAL DOCUMENTS: LAST UNDERSTAND
نویسندگان
چکیده
منابع مشابه
Model Checking Legal Documents
This article presents the FORMALEX toolset, an approach to legislative drafting that, based on the similarities between software specifications and some types of regulations, uses off-the-shelf LTL model checkers to perform automatic analysis on normative systems.
متن کاملTemporal Dependence in Legal Documents
Tasks and difficulties inherent in the largely open problem of temporal information extraction from legal text are outlined. We demonstrate the efficacy of tools and concepts available “off-the-shelf” and suggest refinements for such applications. In particular, the frequent references between regulatory texts have to be addressed as a separate named entity recognition task that bears relevance...
متن کاملUsing Legal Definitions to Increase the Accessibility of Legal Documents
Access to legal documents has been hampered by the lack of attention for specific user groups accessing such documents. In this article, we focus on one of these user groups (legal professionals), who can benefit from specific types of cross-lingual information retrieval for, e.g., comparative law research. We propose to use legal definitions as anchor points in legal documents. Through the bod...
متن کاملThe Legal-RDF Ontology. A Generic Model for Legal Documents
Legal-RDF.org publishes a practical ontology that models both the layout and content of a document and metadata about the document; these have been built using data models implicit within the HTML, XSL, and Dublin Core dialects. Directed Acyclic Graphs (DAGs) form the foundation of all models within the ontology, that is, DAGNode and DAGModel are the base classes for all other ontology classes,...
متن کاملAutomatic Hilghter of Lengthy Legal Documents
Legal documents are known for being lengthy. To our knowledge, some categories of legal documents contain duplicated information that do not require our attention. However, manually extracting non-duplicate information from documents requires considerable amount of effort. Thus, we want to use machine learning algorithms to pick up unordinary sentences for us. In this paper, we propose a set of...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: State and Regions. Series: Law
سال: 2020
ISSN: 1813-338X
DOI: 10.32840/1813-338x-2020.1-1.22