Paper: Summarising Legal Texts: Sentential Tense And Argumentative Roles

ACL ID W03-0505
Title Summarising Legal Texts: Sentential Tense And Argumentative Roles
Venue Workshop On Text Summarization
Session
Year 2003
Authors

We report on the SUM project which applies automatic summarisation techniques to the le- gal domain. We pursue a methodology based on Teufel and Moens (2002) where sentences are classified according to their argumentative role. We describe some experiments with judg- ments of the House of Lords where we have performed automatic linguistic annotation of a small sample set in order to explore correla- tions between linguistic features and argumen- tative roles. We use state-of-the-art NLP tech- niques to perform the linguistic annotation us- ing XML-based tools and a combination of rule- based and statistical methods. We focus here on the predictive capacity of tense and aspect features for a classifier.