Query-driven Relevant Paragraph Extraction from Legal Judgments

arXiv:2404.00595v1 Announce Type: new
Abstract: Legal professionals often grapple with navigating lengthy legal judgements to pinpoint information that directly address their queries. This paper focus on this task of extracting relevant paragraphs from legal judgements based on the query. We construct a specialized dataset for this task from the European Court of Human Rights (ECtHR) using the case law guides. We assess the performance of current retrieval models in a zero-shot way and also establish fine-tuning benchmarks using various models. …

abstract arxiv construct court cs.cl cs.ir dataset extraction focus human information legal paper professionals queries query type