98 citations · 99 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 1 cited
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding
Steven H. Wang, Antoine Scardigli, Leonard Tang +7
Reading comprehension of legal text can be a particularly challenging task due to the length and complexity of legal clauses and a shortage of expert-annotated datasets. To address…
cs.CL2021★ 98 cited
CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
Dan Hendrycks, Collin Burns, Anya Chen +1
Many specialized domains remain untouched by deep learning, as large labeled datasets require expensive expert annotators. We address this bottleneck within the legal domain by int…