In many jurisdictions, the excessive workload of courts leads to high delays.
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SuperGLUE: A stickier benchmark for general-purpose language understanding systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 2019 · 1905
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XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2020 · 1906
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RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020 · 1909
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Support vector networks
C. Cortes and V. Vapnik. 1995 · 1995
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A decision-theoretic generalization of on-line learning and an application to boosting
Yoav Freund and Robert E Schapire. 1997 · 1997
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Random forests
Leo Breiman. 2001 · 2001
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Longformer: The Long-Document Transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
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Quantitative legal prediction-or-how I learned to stop worrying and start preparing for the data-driven future of the legal services industry
Daniel Martin Katz. 2012 · 2012
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Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model
William Yang Wang, Elijah Mayfield, Suresh Naidu, and Jeremiah Dittmar. 2012 · 2012
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Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Glove: Global Vectors for Word Representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective
Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preoţiuc-Pietro, and Vasileios Lampos. 2016 · 2016
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Machine bias: There’s software used across the country to predict future criminals. and it’s biased against blacks
Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016 · 2016
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Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016 · 2016
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A general approach for predicting the behavior of the Supreme Court of the United States
Daniel Martin Katz, Michael J. Bommarito Ii, and Josh Blackman. 2017 · 2017
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Learning to Predict Charges for Criminal Cases with Legal Basis
Bingfeng Luo, Yansong Feng, Jianbo Xu, Xiang Zhang, and Dongyan Zhao. 2017 · 2017
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Predicting the Law Area and Decisions of French Supreme Court Cases
Octavia-Maria Şulea, Marcos Zampieri, Mihaela Vela, and Josef van Genabith. 2017 · 2017
Cited alongside, same era.
Deep learning in law: early adaptation and legal word embeddings trained on large corpora
Ilias Chalkidis and Dimitrios Kampas. 2018 · 2018
Cited alongside, same era.
The accuracy, fairness, and limits of predicting recidivism
Julia Dressel and Hany Farid. 2018 · 2018
Cited alongside, same era.
Few-Shot Charge Prediction with Discriminative Legal Attributes
Zikun Hu, Xiang Li, Cunchao Tu, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
Cited alongside, same era.
Taku Kudo and John Richardson. 2018 · 2018
Cited alongside, same era.
Judicial decisions of the European Court of Human Rights: Looking into the crystal ball
Masha Medvedeva, Michel Vols, and Martijn Wieling. 2018 · 2018
Cited alongside, same era.
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2018 · 2018
Cited alongside, same era.
CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction
Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, and Jianfeng Xu. 2018 · 2018
Cited alongside, same era.
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions
Hai Ye, Xin Jiang, Zhunchen Luo, and Wenhan Chao. 2018 · 2018
Cited alongside, same era.
Legal Judgment Prediction via Topological Learning
Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Chaojun Xiao, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
Cited alongside, same era.
Neural Legal Judgment Prediction in English
Ilias Chalkidis, Ion Androutsopoulos, and Nikolaos Aletras. 2019 · 2019
Cited alongside, same era.
deepset - Open Sourcing German BERT
Branden Chan, Timo Möller, Malte Pietsch, Tanay Soni, and Chin Man Yeung. 2019 · 2019
Cited alongside, same era.
A Recurrent Attention Network for Judgment Prediction
Ze Yang, Pengfei Wang, Lei Zhang, Linjun Shou, and Wenwen Xu. 2019 · 2019
Later among the works it cites.
AI Research, Replicability and Incentives
Denny Britz. 2020 · 2020
Later among the works it cites.
LEGAL-BERT: The muppets straight out of law school
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, and Ion Androutsopoulos. 2020 · 2020
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spaCy: Industrial-strength Natural Language Processing in Python
Matthew Honnibal, Ines Montani, Sofie Van Landeghem, and Adriane Boyd. 2020 · 2020
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CamemBERT: a tasty French language model
Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric de la Clergerie, Djamé Seddah, and Benoît Sagot. 2020 · 2020
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UmBERTo: an Italian Language Model trained with Whole Word Masking
Loreto Parisi, Simone Francia, and Paolo Magnani. 2020 · 2020
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MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, and Sebastian Ruder. 2020 · 2020
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Transformers: State-of-the-Art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Big bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, et al. 2020 · 2020
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How does NLP benefit legal system: A summary of legal artificial intelligence
Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, and Maosong Sun. 2020 · 2020
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WILDS: A benchmark of in-the-wild distribution shifts
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton A. Earnshaw, Imran S. Haque, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, and Percy Liang. 2021 · 2021
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Changing the World by Changing the Data
Anna Rogers. 2021 · 2021
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We need to talk about random splits
Anders Søgaard, Sebastian Ebert, Jasmijn Bastings, and Katja Filippova. 2021 · 2021
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On the ethical limits of natural language processing on legal text
Dimitrios Tsarapatsanis and Nikolaos Aletras. 2021 · 2021
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Design and Implementation of German Legal Decision Corpora:
Stefanie Urchs, Jelena Mitrović, and Michael Granitzer. 2021 · 2021
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Equality before the law: Legal judgment consistency analysis for fairness
Yuzhong Wang, Chaojun Xiao, Shirong Ma, Haoxi Zhong, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, and Maosong Sun. 2021 · 2021
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