48 citations · 121 across the 23 of their papers we have counts for
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cs.CL2022★ 3 cited
BudgetLongformer: Can we Cheaply Pretrain a SotA Legal Language Model From Scratch?
Joel Niklaus, Daniele Giofré
Pretrained transformer models have achieved state-of-the-art results in many tasks and benchmarks recently. Many state-of-the-art Language Models (LMs), however, do not scale well…
cs.CL2022
ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US
Gil Semo, Dor Bernsohn, Ben Hagag +2
The research field of Legal Natural Language Processing (NLP) has been very active recently, with Legal Judgment Prediction (LJP) becoming one of the most extensively studied tasks…
cs.CL2022★ 7 cited
An Empirical Study on Cross-X Transfer for Legal Judgment Prediction
Joel Niklaus, Matthias Stürmer, Ilias Chalkidis
Cross-lingual transfer learning has proven useful in a variety of Natural Language Processing (NLP) tasks, but it is understudied in the context of legal NLP, and not at all in Leg…