---
title: "Sentence Extraction for Legal Text Summarisation"
authors:
  - "Ben Hachey"
  - "Claire Grover"
doi: ""
url: "https://ijcai.org/proceedings/2005/328"
pdf: "https://ijcai.org/proceedings/2005/0328.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "1686-1686"
track: ""
keywords:
---

# Sentence Extraction for Legal Text Summarisation

Ben Hachey, Claire Grover

*Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence*, pages 1686-1686.

## Abstract

We describe a system for generating extractive summaries of texts in the legal domain, focusing on the relevance classifier, which determines which sentences are abstract-worthy. We experiment with na ̈ıve Bayes and maximum entropy estimation toolkits and explore methods for selecting abstract-worthy sentences in rank order. Evaluation using standard accuracy measures and using correlation confirm the utility of our approach, but suggest different optimal configurations.