An architecture for the automatic identification of arguments in legal documents

Abstract

In this paper we propose an architecture for the automatic identification of arguments in legal documents. The architecture is based in a pipeline of three modules: 1) identification of argumentative sentences; 2) sentence clustering (into arguments); 3) identification of the structure of the arguments (premises and conclusions). The proposed system was evaluated with an annotated ECHR (European Corpus for Human Rights) corpus.