Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage
  • JNLP Team: Deep Learning Appro...

Treffer: JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE 2021

Title:
JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE 2021
Authors:
Nguyen, Ha-Thanh, Nguyen, Phuong Minh, Vuong, Thi-Hai-Yen, Bui, Quan Minh, Nguyen, Chau Minh, Dang, Binh Tran, Tran, Vu, Nguyen, Minh Le, Satoh, Ken
Publication Year:
2021
Collection:
Computer Science
Subject Terms:
Computer Science - Computation and Language
Document Type:
Report Working Paper
Access URL:
http://arxiv.org/abs/2106.13405
Accession Number:
edsarx.2106.13405
Database:
arXiv

Weitere Informationen

COLIEE is an annual competition in automatic computerized legal text processing. Automatic legal document processing is an ambitious goal, and the structure and semantics of the law are often far more complex than everyday language. In this article, we survey and report our methods and experimental results in using deep learning in legal document processing. The results show the difficulties as well as potentials in this family of approaches.
Comment: Also published in COLIEE 2021's proceeding