Study on Sentence Relations in the Automatic Detection of Argumentation in Legal Cases

摘要

We report the results of experiments which prove that the analysis of relations between sentences increase the accuracy in the automatic detection of arguments in legal cases. We treat the search of arguments as a classification problem. Our corpus is a human-annotated and automatically-extracted test set from a collection of legal cases of the European Court of Human Rights. We obtain an increment around 8% in the general accuracy compared to previous experiments due to the addition of new features that study the relations between the text sentences.