Abstract: Untangling the complexities of legal documentation is an imperative need for non practitioners of the legal profession. The terminology used in the domain is complex and it usually requires expert knowledge to be fully understood, since the legal framework is constantly being updated and the meaning of terms vary accordingly. Non-proprietary Automatic Terminology Extraction (ATE) tools are required in this particular domain in which documents contain private and sensitive data. This paper describes methods for obtaining accurate legal terms fro...
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