Recognizing cited facts and principles in legal judgements

Author:

Shulayeva Olga,Siddharthan Advaith,Wyner Adam

Publisher

Springer Science and Business Media LLC

Subject

Law,Artificial Intelligence

Reference54 articles.

1. Ashley KD, Walker VR (2013) Toward constructing evidence-based legal arguments using legal decision documents and machine learning. In: Proceedings of the fourteenth international conference on artificial intelligence and law, ACM, pp 176–180

2. Athar A, Teufel S (2012) Context-enhanced citation sentiment detection. In: Proceedings of the 2012 conference of the North American chapter of the association for computational linguistics: human language technologies, Association for Computational Linguistics, pp 597–601

3. Bansal A, Bu Z, Mishra B, Wang S, Ashley K, Grabmair M (2016) Document ranking with citation information and oversampling sentence classification in the luima framework. In: Legal knowledge and information systems: JURIX 2016: the twenty-ninth annual conference, IOS Press, pp 33–42

4. Bird S (2006) Nltk: the natural language toolkit. In: Proceedings of the COLING/ACL on interactive presentation sessions, Association for Computational Linguistics, pp 69–72

5. Branting K (1994a) Four challenges for a computational model of legal precedent. THINK (J Inst Lang Technol Artif Intell) 3:62–69

Cited by 47 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SKYPER: Legal case retrieval via skeleton-aware hypergraph embedding in the hyperbolic space;Information Sciences;2024-11

2. Classifying proportionality - identification of a legal argument;Artificial Intelligence and Law;2024-08-03

3. LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. A neural network to identify requests, decisions, and arguments in court rulings on custody;Artificial Intelligence and Law;2024-01-09

5. Deep Learning-Based Semantic Segmentation for Legal Texts: Unveiling Rhetorical Roles in Legal Case Documents;E3S Web of Conferences;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3