Understand
Lately, propelled by the phenomenal advances around the transformer architecture, the legal NLP field has enjoyed spectacular growth.
- To measure progress, well curated and challenging benchmarks are crucial.
- However, most benchmarks are English only and in legal NLP specifically there is no multilingual benchmark available yet.
- Additionally, many benchmarks are saturated, with the best models clearly outperforming the best humans and achieving near perfect scores.
Built on
Aralegal-bert: A pretrained language model for arabic legal text
Muhammad Al-Qurishi, Sarah AlQaseemi, and Riad Souissi. 2022 · 2022
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