Quan Minh Bui, Chau Nguyen, Dinh-Truong Do, Nguyen Minh Le 0001, Dieu-Hien Nguyen, Thi Thu Trang Nguyen, Minh Phuong Nguyen, Minh Le Nguyen 0001. JNLP Team: Deep Learning Approaches for Tackling Long and Ambiguous Legal Documents in COLIEE 2022. In Yasufumi Takama, Katsutoshi Yada, Ken Satoh, Sachiyo Arai, editors, New Frontiers in Artificial Intelligence - JSAI-isAI 2022 Workshop, JURISIN 2022, and JSAI 2022 International Session, Kyoto, Japan, June 12-17, 2022, Revised Selected Papers. Volume 13859 of Lecture Notes in Computer Science, pages 68-83, Springer, 2022. [doi]
@inproceedings{BuiNDLNNNN22,
title = {JNLP Team: Deep Learning Approaches for Tackling Long and Ambiguous Legal Documents in COLIEE 2022},
author = {Quan Minh Bui and Chau Nguyen and Dinh-Truong Do and Nguyen Minh Le 0001 and Dieu-Hien Nguyen and Thi Thu Trang Nguyen and Minh Phuong Nguyen and Minh Le Nguyen 0001},
year = {2022},
doi = {10.1007/978-3-031-29168-5_5},
url = {https://doi.org/10.1007/978-3-031-29168-5_5},
researchr = {https://researchr.org/publication/BuiNDLNNNN22},
cites = {0},
citedby = {0},
pages = {68-83},
booktitle = {New Frontiers in Artificial Intelligence - JSAI-isAI 2022 Workshop, JURISIN 2022, and JSAI 2022 International Session, Kyoto, Japan, June 12-17, 2022, Revised Selected Papers},
editor = {Yasufumi Takama and Katsutoshi Yada and Ken Satoh and Sachiyo Arai},
volume = {13859},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-29168-5},
}