Argumentative Segmentation Enhancement for Legal Summarization

07/11/2023
by   Huihui Xu, et al.
0

We use the combination of argumentative zoning [1] and a legal argumentative scheme to create legal argumentative segments. Based on the argumentative segmentation, we propose a novel task of classifying argumentative segments of legal case decisions. GPT-3.5 is used to generate summaries based on argumentative segments. In terms of automatic evaluation metrics, our method generates higher quality argumentative summaries while leaving out less relevant context as compared to GPT-4 and non-GPT models.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/02/2023

How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?

Automatic summarization of legal case judgements has traditionally been ...
research
10/22/2022

Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance

Summarizing legal decisions requires the expertise of law practitioners,...
research
06/02/2019

Plain English Summarization of Contracts

Unilateral contracts, such as terms of service, play a substantial role ...
research
08/04/2023

Legal Summarisation through LLMs: The PRODIGIT Project

We present some initial results of a large-scale Italian project called ...
research
06/11/2020

Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France

Artificial Intelligence techniques are already popular and important in ...
research
07/07/2022

What Makes for Automatic Reconstruction of Pulmonary Segments

3D reconstruction of pulmonary segments plays an important role in surgi...
research
06/05/2023

Interactive Editing for Text Summarization

Summarizing lengthy documents is a common and essential task in our dail...

Please sign up or login with your details

Forgot password? Click here to reset