Advancement of information extraction use in legal documents-Reference-Cited by-同舟云学术

Advancement of information extraction use in legal documents

Published:2021-08-12 Issue: Volume: Page:1-30
ISSN:1360-0869
Container-title:International Review of Law, Computers & Technology
language:en
Short-container-title:International Review of Law, Computers & Technology

Author:

Solihin Firdaus¹²,Budi Indra¹,Aji Rizal Fathoni¹,Makarim Edmon³

Affiliation:

1. Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia

2. Faculty of Engineering, Universitas Trunojoyo Madura, Bangkalan, Indonesia

3. Faculty of Law, Universitas Indonesia, Depok, Indonesia

Funder

the Doctor’s Dissertation Research grant of the Ministry of Research and Technology/National Agency for Research and Innovation

Publisher

Informa UK Limited

Subject

Law,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/13600869.2021.1964225

Reference120 articles.

1. Al-Kofahi, Khalid, Brian Grom, and Peter Jackson. 1999. “Anaphora Resolution in the Extraction of Treatment History Language from Court Opinions by Partial Parsing.” Proceedings of the International Conference on Artificial Intelligence and Law.

2. Al-Kofahi, K., A. Tyrrell, A. Vachher, and P. Jackson. 2001. “A Machine Learning Approach to Prior Case Retrieval.” Proceedings of the International Conference on Artificial Intelligence and Law.

3. The Growing Complexity of the International Court of Justice’s Self-Citation Network

4. Statistical and Lexical Analysis for Semi-automatic Extraction of Relevant Information from Legal Documents

Cited by 4 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. Towards Semantic Role Labeling of Legal Documents for Improving NLP/IR Tasks in the Law Domain;Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation;2023-12-15

2. Exploitation and Merge of Information Sources for Public Procurement Improvement;Communications in Computer and Information Science;2023

3. Topic Modelling Supreme Court Case Decisions using Latent Dirichlet Allocation;2022 13th International Conference on Information and Communication Technology Convergence (ICTC);2022-10-19

4. Deep Learning for Decision Element Extraction in Fact Description of Legal Documents;Advances in Multimedia;2022-09-09