Researchers have explored structural segmentation as a method to enhance the retrieval of Brazilian legal documents. By breaking down long legal texts into smaller, hierarchical chunks such as articles and non-normative components, the study found that this approach improves dense retrieval models. While this segmentation significantly increases the number of indexed units, it yields comparable or better results than whole-document indexing, particularly when core chunks are enriched with metadata. The findings suggest that a full hierarchical representation is not essential for effective retrieval. AI
IMPACT This research could lead to more effective AI-powered legal search tools by improving how legal documents are processed and indexed.
RANK_REASON Academic paper on information retrieval techniques. [lever_c_demoted from research: ic=1 ai=0.7]
Read on arXiv cs.IR (Information Retrieval) →
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