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Everything Has a Cause: Leveraging Causal Inference in Legal Text
  Analysis
v1v2 (latest)

Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis

19 April 2021
Xiao Liu
Da Yin
Yansong Feng
Yuting Wu
Dongyan Zhao
    CMLAILaw
ArXiv (abs)PDFHTML

Papers citing "Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis"

8 / 8 papers shown
Title
JUREX-4E: Juridical Expert-Annotated Four-Element Knowledge Base for Legal Reasoning
JUREX-4E: Juridical Expert-Annotated Four-Element Knowledge Base for Legal Reasoning
Huanghai Liu
Quzhe Huang
Qingjing Chen
Yiran Hu
Jiayu Ma
Yun Liu
Weixing Shen
Yansong Feng
AILawELM
69
1
0
24 Feb 2025
Exploring Defeasibility in Causal Reasoning
Exploring Defeasibility in Causal Reasoning
Shaobo Cui
Lazar Milikic
Yiyang Feng
Mete Ismayilzada
Debjit Paul
Antoine Bosselut
Boi Faltings
79
2
0
06 Jan 2024
FAIR: A Causal Framework for Accurately Inferring Judgments Reversals
FAIR: A Causal Framework for Accurately Inferring Judgments Reversals
Minghua He
Nanfei Gu
Yuntao Shi
Qionghui Zhang
Yaying Chen
40
2
0
20 Jun 2023
Prototype-Based Interpretability for Legal Citation Prediction
Prototype-Based Interpretability for Legal Citation Prediction
Chunyan Luo
R. Bhambhoria
Samuel Dahan
Xiao-Dan Zhu
ELMAILaw
104
7
0
25 May 2023
Do Charge Prediction Models Learn Legal Theory?
Do Charge Prediction Models Learn Legal Theory?
Zhenwei An
Quzhe Huang
Cong Jiang
Yansong Feng
Dongyan Zhao
ELMAILaw
68
6
0
31 Oct 2022
Validity Assessment of Legal Will Statements as Natural Language
  Inference
Validity Assessment of Legal Will Statements as Natural Language Inference
A. Kwak
Jacob O. Israelsen
Clayton T. Morrison
Derek E. Bambauer
Mihai Surdeanu
AILaw
41
3
0
30 Oct 2022
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models
Da Yin
Li Dong
Hao Cheng
Xiaodong Liu
Kai-Wei Chang
Furu Wei
Jianfeng Gao
KELM
71
34
0
17 Feb 2022
Interpreting the Robustness of Neural NLP Models to Textual
  Perturbations
Interpreting the Robustness of Neural NLP Models to Textual Perturbations
Yunxiang Zhang
Liangming Pan
Samson Tan
Min-Yen Kan
72
22
0
14 Oct 2021
1