A Cross-Lingual Statutory Article Retrieval Dataset for Taiwan Legal Studies
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Abstract (arXiv)
This paper introduces a cross-lingual statutory article retrieval (SAR) dataset designed to enhance legal information retrieval in multilingual settings. Our dataset features spoken-language-style legal inquiries in English, paired with corresponding Chinese versions and relevant statutes, covering all Taiwanese civil, criminal, and administrative laws. This dataset aims to improve access to legal information for non-native speakers, particularly for foreign nationals in Taiwan. We propose several LLM-based methods as baselines for evaluating retrieval effectiveness, focusing on mitigating translation errors and improving cross-lingual retrieval performance. Our work provides a valuable resource for developing inclusive legal information retrieval systems.
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References · 7
- 2020Language Models are Few-Shot Learnerscited by 32,199
- 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
- 2024M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillationcited by 1,050
- 2022Precise Zero-Shot Dense Retrieval without Relevance Labelscited by 508
- 2023State of What Art? A Call for Multi-Prompt LLM Evaluationcited by 299
- 2021A Statutory Article Retrieval Dataset in Frenchcited by 40
- 2024The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approachescited by 18
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