Shang Gao, Rina Sa, Yanling Li, Fengpei Ge, Haiqing Yu, Sukun Wang, Zhongyi Miao. How Legal Knowledge Graph Can Help Predict Charges for Legal Text. In Biao Luo, Long Cheng 0001, Zheng-Guang Wu, Hongyi Li 0001, Chaojie Li, editors, Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part VI. Volume 14452 of Lecture Notes in Computer Science, pages 408-420, Springer, 2023. [doi]
@inproceedings{GaoSLGYWM23,
title = {How Legal Knowledge Graph Can Help Predict Charges for Legal Text},
author = {Shang Gao and Rina Sa and Yanling Li and Fengpei Ge and Haiqing Yu and Sukun Wang and Zhongyi Miao},
year = {2023},
doi = {10.1007/978-981-99-8076-5_30},
url = {https://doi.org/10.1007/978-981-99-8076-5_30},
researchr = {https://researchr.org/publication/GaoSLGYWM23},
cites = {0},
citedby = {0},
pages = {408-420},
booktitle = {Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part VI},
editor = {Biao Luo and Long Cheng 0001 and Zheng-Guang Wu and Hongyi Li 0001 and Chaojie Li},
volume = {14452},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-981-99-8076-5},
}