Summarising legal texts

Abstract

We report on the SUM project which applies automatic summarisation techniques to the legal domain. We pursue a methodology based on We describe some experiments with judgments of the House of Lords where we have performed automatic linguistic annotation of a small sample set in order to explore correlations between linguistic features and argumentative roles. We use state-of-the-art NLP techniques to perform the linguistic annotation using XML-based tools and a combination of rulebased and statistical methods. We focus here on the predictive capacity of tense and aspect features for a classifier.