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Automatic legal judgment prediction and its explanation suffer from the problem of long case documents exceeding tens of thousands of words, in general, and having a non-uniform structure.
Bleu: a Method for Automatic Evaluation of Machine Translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Philadelphia, Pennsylvania, USA, 311–318
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Longformer: The Long-Document Transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
Earlier work this paper cites.
ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out . Association for Computational Linguistics, Barcelona, Spain, 74–81
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Legal Docket Classification: Where Machine Learning Stumbles. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Honolulu, Hawaii, 438–446
Ramesh Nallapati and Christopher D. Manning. 2008 · 2008
Earlier work this paper cites.
Visualizing and Understanding Convolutional Networks. In Computer Vision – ECCV 2014 , David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars (Eds.). Springer International Publishing, Cham, 818–833
Matthew D. Zeiler and Rob Fergus. 2014 · 2014
Earlier work this paper cites.
Hierarchical Attention Networks for Document Classification. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, San Diego, California, 1480–1489
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016 · 2016
Earlier work this paper cites.
hdbscan: Hierarchical density based clustering
Leland McInnes, John Healy, and Steve Astels. 2017 · 2017
Earlier work this paper cites.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Improving Supreme Court Forecasting Using Boosted Decision Trees
Aaron Russell Kaufman, Peter Kraft, and Maya Sen. 2019 · 2018
Earlier work this paper cites.
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes, John Healy, and James Melville. 2018 · 2018
Earlier work this paper cites.
RISE: Randomized Input Sampling for Explanation of Black-box Models. In British Machine Vision Conference 2018, BMVC 2018, Newcastle, UK, September 3-6, 2018 . BMVA Press, 151
Vitali Petsiuk, Abir Das, and Kate Saenko. 2018 · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) . Association for Computational Linguistics, New Orleans, Louisiana, 1854–1864
Hai Ye, Xin Jiang, Zhunchen Luo, and Wenhan Chao. 2018 · 2018
Earlier work this paper cites.
Legal Judgment Prediction via Topological Learning. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Brussels, Belgium, 3540–3549
Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Chaojun Xiao, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
Earlier work this paper cites.
Neural Legal Judgment Prediction in English. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Florence, Italy, 4317–4323
Ilias Chalkidis, Ion Androutsopoulos, and Nikolaos Aletras. 2019 · 2019
Earlier work this paper cites.
Charge-Based Prison Term Prediction with Deep Gating Network. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics, Hong Kong, China, 6362–6367
Huajie Chen, Deng Cai, Wei Dai, Zehui Dai, and Yadong Ding. 2019 · 2019
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers) , Jill Burstein, Christy Doran, and Thamar Solorio (Eds.). Association for Computational Linguistics, 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Backlog of cases crippling judiciary
Justice Markandey Katju. 2019 · 2019
Cited alongside, same era.
Hierarchical Transformers for Long Document Classification. In 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) . 838–844
Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Yishay Carmiel, and Najim Dehak. 2019 · 2019
Cited alongside, same era.
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Florence, Italy, 5059–5069
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, Shawn Presser, and Connor Leahy. 2021 · 2021
Later among the works it cites.
ILDC for CJPE: Indian Legal Documents Corpus for Court JudgmentPrediction and Explanation
Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripa Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, and Ashutosh Modi. 2021 · 2021
Later among the works it cites.
GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model
Ben Wang and Aran Komatsuzaki. 2021 · 2021
Later among the works it cites.
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset of 53,000+ Legal Holdings. In Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law (São Paulo, Brazil) (ICAIL ’21) . Association for Computing Machinery, New York, NY, USA, 159–168
Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, and Daniel E. Ho. 2021 · 2021
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Xingxing Zhang, Furu Wei, and Ming Zhou. 2019 · 2019
Cited alongside, same era.
ETC: Encoding Long and Structured Inputs in Transformers. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Online, 268–284
Joshua Ainslie, Santiago Ontanon, Chris Alberti, Vaclav Cvicek, Zachary Fisher, Philip Pham, Anirudh Ravula, Sumit Sanghai, Qifan Wang, and Li Yang. 2020 · 2020
Cited alongside, same era.
Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 1877–1901
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D 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 Ziegler, Jeffrey Wu, Clemens Winter, Chris 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 · 2020
Cited alongside, same era.
LEGAL-BERT: The Muppets straight out of Law School. In Findings of the Association for Computational Linguistics: EMNLP 2020 . Association for Computational Linguistics, Online, 2898–2904
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, and Ion Androutsopoulos. 2020 · 2020
Cited alongside, same era.
Reformer: The Efficient Transformer. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020 . OpenReview.net
Nikita Kitaev, Lukasz Kaiser, and Anselm Levskaya. 2020 · 2020
Cited alongside, same era.
LEDGAR: A Large-Scale Multi-label Corpus for Text Classification of Legal Provisions in Contracts. In Proceedings of the Twelfth Language Resources and Evaluation Conference . European Language Resources Association, Marseille, France, 1235–1241
Don Tuggener, Pius von Däniken, Thomas Peetz, and Mark Cieliebak. 2020 · 2020
Cited alongside, same era.
Distinguish Confusing Law Articles for Legal Judgment Prediction. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Online, 3086–3095
Nuo Xu, Pinghui Wang, Long Chen, Li Pan, Xiaoyan Wang, and Junzhou Zhao. 2020 · 2020
Cited alongside, same era.
Big Bird: Transformers for Longer Sequences. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 17283–17297
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, and Amr Ahmed. 2020 · 2020
Cited alongside, same era.
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction
Haoxi Zhong, Yuzhong Wang, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, and Maosong Sun. 2020a · 2020
Cited alongside, same era.
Later among the works it cites.
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Dublin, Ireland, 4310–4330
Ilias Chalkidis, Abhik Jana, Dirk Hartung, Michael Bommarito, Ion Androutsopoulos, Daniel Katz, and Nikolaos Aletras. 2022b · 2022
Later among the works it cites.
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
Later among the works it cites.
Legal Judgment Prediction: A Survey of the State of the Art. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-22 , Lud De Raedt (Ed.). International Joint Conferences on Artificial Intelligence Organization, 5461–5469
Yi Feng, Chuanyi Li, and Vincent Ng. 2022 · 2022
Later among the works it cites.
Pre-training Transformers on Indian Legal Text
Shounak Paul, Arpan Mandal, Pawan Goyal, and Saptarshi Ghosh. 2022 · 2022
Later among the works it cites.
Effect of Hierarchical Domain-specific Language Models and Attention in the Classification of Decisions for Legal Cases. In Proceedings of the 2nd Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022), Samatan, Gers, France, July 4-7, 2022 (CEUR Workshop Proceedings, Vol. 3178) . CEUR-WS.org
Nishchal Prasad, Mohand Boughanem, and Taoufiq Dkaki. 2022 · 2022
Later among the works it cites.
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?
Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, and Donald Metzler. 2022 · 2022
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LaMDA: Language Models for Dialog Applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Vincent Zhao, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Pranesh Srinivasan, Laichee Man, Kathleen Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Aguera-Arcas, Claire Cui, Marian Croak, Ed Chi, and Quoc Le. 2022 · 2022
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Legal Prompt Engineering for Multilingual Legal Judgement Prediction
Dietrich Trautmann, Alina Petrova, and Frank Schilder. 2022 · 2022
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Legal Prompting: Teaching a Language Model to Think Like a Lawyer
Fangyi Yu, Lee Quartey, and Frank Schilder. 2022 · 2022
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LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023 · 2023
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Interpretable Rationale Augmented Charge Prediction System. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations . Association for Computational Linguistics, Santa Fe, New Mexico, 146–151
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