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Development and Evaluation of a Simple Embedding-Based System for Jurisprudence Retrieval in Financial Dispute Resolution Contexts

Bieleveldt, N.M. (2025) Development and Evaluation of a Simple Embedding-Based System for Jurisprudence Retrieval in Financial Dispute Resolution Contexts.

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Abstract:Legal professionals struggle with inefficient jurisprudence retrieval using traditional keyword searches. Efficient retrieval of precedents in Dutch financial dispute resolution is critical for informed decision-making. This thesis investigates whether embedding-based retrieval systems can outperform existing keyword methods for Dutch financial legal documents. An embedding-based retrieval system was developed and evaluated on Dutch financial legal documents. Experiments on a curated test set demonstrate that the keyword-based retrieval methods achieve superior F1 performance compared to purely semantic and hybrid methods, indicating that traditional approaches remain more effective than embedding based methods for this specialized legal domain. The findings contradict broader research trends and highlight the need for context-specific evaluation when deploying AI systems in legal practice.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Business & IT BSc (56066)
Link to this item:https://purl.utwente.nl/essays/107500
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