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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.
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Yuta Koreeda and Christopher Manning. 2021 · 1919
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Longformer: The Long-Document Transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
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Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith. 2020 · 2004
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Language Models are Few-Shot Learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2005
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Bell atlantic corp. v. twombly
550 U.S. at 570 Twombly. 2007 · 2007
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Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, and Amr Ahmed. 2021 · 2007
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LEGAL-BERT: The Muppets straight out of Law School
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, and Ion Androutsopoulos. 2020 · 2010
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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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XGBoost: A Scalable Tree Boosting System
Tianqi Chen and Carlos Guestrin. 2016 · 2016
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"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. 2016 · 2016
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A Unified Approach to Interpreting Model Predictions
Scott M Lundberg and Su-In Lee. 2017 · 2017
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Axiomatic Attribution for Deep Networks
Mukund Sundararajan, Ankur Taly, and Qiqi Yan. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 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
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Named Entity Recognition, Linking and Generation for Greek Legislation
I. Angelidis, Ilias Chalkidis, and M. Koubarakis. 2018 · 2018
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Kedar Dhamdhere, Mukund Sundararajan, and Qiqi Yan. 2018 · 2018
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Few-Shot Charge Prediction with Discriminative Legal Attributes
Zikun Hu, Xiang Li, Cunchao Tu, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
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LeNER-Br: A Dataset for Named Entity Recognition in Brazilian Legal Text
Pedro Henrique Luz de Araujo, Teófilo E. de Campos, Renato R. R. de Oliveira, Matheus Stauffer, Samuel Couto, and Paulo Bermejo. 2018 · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
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.
Charge-Based Prison Term Prediction with Deep Gating Network
Huajie Chen, Deng Cai, Wei Dai, Zehui Dai, and Yadong Ding. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
BillSum: A Corpus for Automatic Summarization of US Legislation
Anastassia Kornilova and Vladimir Eidelman. 2019 · 2019
Cited alongside, same era.
Fine-Grained Named Entity Recognition in Legal Documents
Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting
Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun, and Shikun Zhang. 2021 · 2021
Later among the works it cites.
Swiss-judgment-prediction: A multilingual legal judgment prediction benchmark
Joel Niklaus, Ilias Chalkidis, and Matthias Stürmer. 2021a · 2021
Later among the works it cites.
Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark
Joel Niklaus, Ilias Chalkidis, and Matthias Stürmer. 2021b · 2021
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On the ethical limits of natural language processing on legal text
Dimitrios Tsarapatsanis and Nikolaos Aletras. 2021 · 2021
Later among the works it cites.
GerDaLIR: A German Dataset for Legal Information Retrieval
Marco Wrzalik and Dirk Krechel. 2021 · 2021
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Elena Leitner, Georg Rehm, and Julian Moreno-Schneider. 2019 · 2019
Cited alongside, same era.
Automatic Judgment Prediction via Legal Reading Comprehension
Shangbang Long, Cunchao Tu, Zhiyuan Liu, and Maosong Sun. 2019 · 2019
Cited alongside, same era.
Is Attention Interpretable?
Sofia Serrano and Noah A. Smith. 2019 · 2019
Cited alongside, same era.
Calibration of Pre-trained Transformers
Shrey Desai and Greg Durrett. 2020 · 2020
Cited alongside, same era.
Classification of German Court Rulings: Detecting the Area of Law
Ingo Glaser and Florian Matthes. 2020 · 2020
Cited alongside, same era.
Multivariate confidence calibration for object detection
Fabian Küppers, Jan Kronenberger, Amirhossein Shantia, and Anselm Haselhoff. 2020 · 2020
Cited alongside, same era.
Legal Judgement Prediction for UK Courts
Benjamin Strickson and Beatriz De La Iglesia. 2020 · 2020
Cited alongside, same era.
Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, and Daniel E. Ho. 2021 · 2021
Later among the works it cites.
Ask Me Anything: A simple strategy for prompting language models
Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, and Christopher Ré. 2022 · 2022
Closest in time.
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, and Noah Fiedel. 2022 · 2022
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A survey on legal judgment prediction: Datasets, metrics, models and challenges
Junyun Cui, Xiaoyu Shen, Feiping Nie, Z. Wang, Jinglong Wang, and Yulong Chen. 2022 · 2022
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Revisiting Transformer-based Models for Long Document Classification
Xiang Dai, Ilias Chalkidis, Sune Darkner, and Desmond Elliott. 2022 · 2022
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Using deep learning to predict outcomes of legal appeals better than human experts: A study with data from Brazilian federal courts
Elias Jacob de Menezes-Neto and Marco Bruno Miranda Clementino. 2022 · 2022
Closest in time.
Predicting Brazilian Court Decisions
André Lage-Freitas, Héctor Allende-Cid, Orivaldo Santana, and Lívia Oliveira-Lage. 2022 · 2022
Closest in time.
Interpretable Machine Learning , 2 edition
Christoph Molnar. 2022 · 2022
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An Empirical Study on Cross-X Transfer for Legal Judgment Prediction
Joel Niklaus, Matthias Stürmer, and Ilias Chalkidis. 2022 · 2022
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Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities
Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, and Doug Downey. 2022 · 2022
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Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, and Jason Wei. 2022 · 2022
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Design and Implementation of German Legal Decision Corpora
Stefanie Urchs, Jelena Mitrović, and Michael Granitzer. 2022 · 2022
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Chain of Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2022 · 2022
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