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Unsupervised Simplification of Legal Texts

Unsupervised Simplification of Legal Texts

1 September 2022
Mert Cemri
Tolga Çukur
Aykut Koç
    AILaw
ArXivPDFHTML

Papers citing "Unsupervised Simplification of Legal Texts"

5 / 5 papers shown
Title
Leveraging Large Language Models for Learning Complex Legal Concepts
  through Storytelling
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
Hang Jiang
Xiajie Zhang
Robert Mahari
Daniel Kessler
Eric Ma
...
Irene Li
Alex Pentland
Yoon Kim
Deb Roy
Jad Kabbara
AILaw
33
22
0
26 Feb 2024
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Ilias Chalkidis
Abhik Jana
D. Hartung
M. Bommarito
Ion Androutsopoulos
Daniel Martin Katz
Nikolaos Aletras
AILaw
ELM
130
250
0
03 Oct 2021
Neural Legal Judgment Prediction in English
Neural Legal Judgment Prediction in English
Ilias Chalkidis
Ion Androutsopoulos
Nikolaos Aletras
AILaw
ELM
123
327
0
05 Jun 2019
Split and Rephrase: Better Evaluation and a Stronger Baseline
Split and Rephrase: Better Evaluation and a Stronger Baseline
Roee Aharoni
Yoav Goldberg
MoE
226
45
0
02 May 2018
FASTSUBS: An Efficient and Exact Procedure for Finding the Most Likely
  Lexical Substitutes Based on an N-gram Language Model
FASTSUBS: An Efficient and Exact Procedure for Finding the Most Likely Lexical Substitutes Based on an N-gram Language Model
Deniz Yuret
49
27
0
24 May 2012
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