With a large DeBERTa model, annotating 500 to 1000 sentences per legal concept matches full annotation, and LLM-based annotation (Qwen 2.5) achieves NDCG scores close to or better than human-annotation-trained models on the statutory interpretation retrieval task.
Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation, 2024
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Are manual annotations necessary for statutory interpretations retrieval?
With a large DeBERTa model, annotating 500 to 1000 sentences per legal concept matches full annotation, and LLM-based annotation (Qwen 2.5) achieves NDCG scores close to or better than human-annotation-trained models on the statutory interpretation retrieval task.