JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE
2021
- URL: http://arxiv.org/abs/2106.13405v1
- Date: Fri, 25 Jun 2021 03:31:12 GMT
- Title: JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE
2021
- Authors: Ha-Thanh Nguyen, Phuong Minh Nguyen, Thi-Hai-Yen Vuong, Quan Minh Bui,
Chau Minh Nguyen, Binh Tran Dang, Vu Tran, Minh Le Nguyen, Ken Satoh
- Abstract summary: COLIEE is an annual competition in automatic computerized legal text processing.
In this article, we report our methods and experimental results in using deep learning in legal document processing.
- Score: 1.8700700550095686
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: 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.
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