A low-cost, high-coverage legal named entity recognizer, classifier and linker
Cristian Cardellino, Milagro Teruel, Laura Alonso Alemany, Serena Villata · 2017
In this paper we try to improve Information Extraction in legal texts by creating a legal Named Entity Recognizer, Classifier and Linker. With this tool, we can identify relevant parts of texts and connect them to a structured knowledge representation, the LKIF ontology.