Argumentative Segmentation Enhancement for Legal Summarization

2023/07/11 by Huihui Xu, Xu, Huihui, Kevin D. Ashley +1 · 1 citation
Computer Science · Social Sciences · #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques

paper · pdf · doi:10.48550/arxiv.2307.05081

openalex publication_date 2023/07/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

Cited by

• Large Language Models in Argument Mining: A Survey

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