Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents

arXiv:2404.01344v1 Announce Type: new
Abstract: Rhetorical Role Labeling (RRL) of legal judgments is essential for various tasks, such as case summarization, semantic search and argument mining. However, it presents challenges such as inferring sentence roles from context, interrelated roles, limited annotated data, and label imbalance. This study introduces novel techniques to enhance RRL performance by leveraging knowledge from semantically similar instances (neighbours). We explore inference-based and training-based approaches, achieving remarkable improvements in challenging macro-F1 scores. For inference-based methods, we explore …

abstract annotated data arxiv case challenges context cs.cl data documents however instances labeling legal mind mining role roles search semantic study summarization tasks type