Automatic Extraction of Entities and Relation from Legal Documents-Reference-Cited by-同舟云学术

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Automatic Extraction of Entities and Relation from Legal Documents

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Seventh Named Entities Workshop
language:
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Author:

Andrew Judith Jeyafreeda

Publisher

Association for Computational Linguistics

Cited by 9 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. Exploring the Power of AI-Driven Decision Making in the Judicial Domain;Advances in Media, Entertainment, and the Arts;2024-01-10

2. An adaptable, high-performance relation extraction system for complex sentences;Knowledge-Based Systems;2022-09

3. An Ontology-Based and Deep Learning-Driven Method for Extracting Legal Facts from Chinese Legal Texts;Electronics;2022-06-08

4. FinRED: A Dataset for Relation Extraction in Financial Domain;Companion Proceedings of the Web Conference 2022;2022-04-25

5. A Review of Contract Entity Extraction;Proceedings of Sixth International Congress on Information and Communication Technology;2021-10-27

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