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

翻译：编写法律文件摘要是一项具有挑战性的任务,即能否解决法律文件的争论性质。我们引入了一种简单技术,通过将辩论角色标签纳入汇总过程来捕捉法律文件的争论结构。 与经过预先培训的语言模型进行的实验表明,我们提出的方法比强基线提高了绩效。