How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun
摘要
Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial intelligence, especially natural language processing, to benefit tasks in the legal domain. In recent years, LegalAI has drawn increasing attention rapidly from both AI researchers and legal professionals, as LegalAI is beneficial to the legal system for liberating legal professionals from a maze of paperwork. Legal professionals often think about how to solve tasks from rulebased and symbol-based methods, while NLP researchers concentrate more on data-driven and embedding methods. In this paper, we describe the history, the current state, and the future directions of research in LegalAI. We illustrate the tasks from the perspectives of legal professionals and NLP researchers and show several representative applications in LegalAI. We conduct experiments and provide an indepth analysis of the advantages and disadvantages of existing works to explore possible future directions. You can find the implementation of our work from https://github. com/thunlp/CLAIM .
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引用它的顶会 Paper19
- Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name RecognitionYun He, Ziwei Zhu, Yin Zhang, Qin Chen 等EMNLP 2020 · 被引用 103 次
- MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transferIlias Chalkidis, Manos Fergadiotis, Ion AndroutsopoulosEMNLP 2021 · 被引用 78 次
- Judgment Prediction via Injecting Legal Knowledge into Neural NetworksLeilei Gan, Kun Kuang, Yi Yang, Fei WuAAAI 2021 · 被引用 72 次
- KnowGPT: Knowledge Graph based Prompting for Large Language ModelsQinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha 等NeurIPS 2024 · 被引用 66 次
- Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang 等ICLR 2024 · 被引用 43 次
它引用的顶会 Paper3
- JEC-QA: A Legal-Domain Question Answering DatasetHaoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang 等AAAI 2020 · 被引用 212 次
- Iteratively Questioning and Answering for Interpretable Legal Judgment PredictionHaoxi Zhong, Yuzhong Wang, Cunchao Tu, Tianyang Zhang 等AAAI 2020 · 被引用 133 次
- Latent Relation Language ModelsHiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham NeubigAAAI 2020 · 被引用 43 次
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