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As a pivotal task in natural language processing, element extraction has gained significance in the legal domain.
“Law in books and law in action”
Roscoe Pound · 1910
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“CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain”
Chaojun Xiao et al · 1911
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“A dataset for open event extraction in english”
Kiem-Hieu Nguyen, Xavier Tannier, Olivier Ferret and Romaric Besançon · 1943
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“Ethnicity and sentencing outcomes in US federal courts: Who is punished more harshly?”
Darrell Steffensmeier and Stephen Demuth · 2000
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“Sentencing in context: A multilevel analysis”
Jeffery Ulmer and Brian Johnson · 2004
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“Nyu’s english ace 2005 system description”
Ralph Grishman, David Westbrook and Adam Meyers · 2005
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“The independent and joint effects of race/ethnicity, gender, and age on sentencing outcomes in US federal courts”
Jill Doerner and Stephen Demuth · 2010
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“Using document level cross-event inference to improve event extraction”
Shasha Liao and Ralph Grishman · 2010
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“An Overview of Event Extraction from Text.”
Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak and Franciska De · 2011
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“Recent developments and new directions in sentencing research”
Jeffery Ulmer · 2012
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“Explaining the “female victim effect” in capital punishment: An examination of victim sex–specific models of juror sentence decision-making”
Tara Richards et al · 2016
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“Hukou Status and Sentencing in the Wake of Internal Migration: The Penalty Effect of Being Rural-to-Urban Migrants in China”
Jize Jiang and Kai Kuang · 2018
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“Event extraction from legal documents in spanish”
G Sierra · 2018
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“Dcfee: A document-level chinese financial event extraction system based on automatically labeled training data”
Hang Yang et al · 2018
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“Mass publicity of Chinese court decisions”
Yingmao Tang and John Liu · 2019
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“Building legal case retrieval systems with lexical matching and summarization using a pre-trained phrase scoring model”
Vu Tran, Minh Nguyen and Ken Satoh · 2019
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“Doc2EDAG: An end-to-end document-level framework for Chinese financial event extraction”
“LeCaRD: A Legal Case Retrieval Dataset for Chinese Law System”
Yixiao Ma et al · 2021
Later among the works it cites.
“Efficient document-level event extraction via pseudo-trigger-aware pruned complete graph”
Tong Zhu et al · 2021
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“Legal Judgment Prediction via Event Extraction with Constraints”
Yi Feng, Chuanyi Li and Vincent Ng · 2022
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“MEE: A novel multilingual event extraction dataset”
Amir Veyseh, Javid Ebrahimi, Franck Dernoncourt and Thien Nguyen · 2022
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“LEVEN: A Large-Scale Chinese Legal Event Detection Dataset”
Feng Yao et al · 2022
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Shun Zheng, Wei Cao, Wei Xu and Jiang Bian · 2019
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“Knowledge graph enhanced event extraction in financial documents”
Kaihao Guo, Tianpei Jiang and Haipeng Zhang · 2020
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“Ethnic discrimination and authoritarian rule: An analysis of criminal sentencing in China”
Yue Hou and Rory Truex · 2020
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“DuEE: a large-scale dataset for Chinese event extraction in real-world scenarios”
Xinyu Li et al · 2020
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“Hierarchical Chinese Legal event extraction via Pedal Attention Mechanism”
Shirong Shen et al · 2020
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“MAVEN: A Massive General Domain Event Detection Dataset”
Xiaozhi Wang et al · 2020
Cited alongside, same era.
Andong Chen et al · 2023
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“SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval”, 2023
Haitao Li et al · 2023
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Haitao Li et al · 2023
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“THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment”, 2023
Haitao Li et al · 2023
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“Investigating Conversational Agent Action in Legal Case Retrieval”
Bulou Liu et al · 2023
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“Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive”
Feng Yao et al · 2023
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