Automatic Identification, Extraction and Application of Textual Amendments in Greek Legislative Texts
John D. Garofalakis, Κωνσταντίνος Πλέσσας, Αθανάσιος Πλέσσας · Frontiers in artificial intelligence and applications · 2016
The automatic analysis of legislative texts using Natural Language Processing techniques is able to facilitate several tasks related to the legislation lifecycle, such as the consolidation of different versions of legal documents. We present our work on the automatic identification, extraction and application of textual amendments in Greek legislative texts, based on pattern matching with regular expressions, which is part of a semi-automatic system for the consolidation of Greek laws.