2022/09/04 by Mohamed Elaraby, Elaraby, Mohamed, Diane Litman +1 · 2 citations
Computer Science · Social Sciences · #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
paper · pdf · doi:10.48550/arxiv.2209.01650
openalex publication_date 2022/09/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A challenging task when generating summaries of legal documents is the ability to address their argumentative nature. We introduce a simple technique to capture the argumentative structure of legal documents by integrating argument role labeling into the summarization process. Experiments with pretrained language models show that our proposed approach improves performance over strong baselines