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ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US. (arXiv:2211.00582v1 [cs.CL])
Nov. 2, 2022, 1:15 a.m. | Gil Semo, Dor Bernsohn, Ben Hagag, Gila Hayat, Joel Niklaus
cs.CL updates on arXiv.org arxiv.org
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. To date, most publicly released LJP datasets
originate from countries with civil law. In this work, we release, for the
first time, a challenging LJP dataset focused on class action cases in the US.
It is the first dataset in the common law system that focuses on the harder and
more realistic task …
arxiv benchmark cases class action judgment legal prediction
More from arxiv.org / cs.CL updates on arXiv.org
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