CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs.
Yanran Tang|Ruihong Qiu|Yilun Liu|Xue Li|Zi Huang
| Anthology ID: | DBLP:conf/ecir/TangQLLH24 |
|---|---|
| Volume: | Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II |
| Year: | 2024 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 80-95 |
| URL: | https://doi.org/10.1007/978-3-031-56060-6_6 |
| DOI: | https://doi.org/10.1007/978-3-031-56060-6_6 |
| DBLP: | conf/ecir/TangQLLH24 |
| BibTeX: |
@inproceedings{tang-2024-casegnn,
author = {Yanran Tang and
Ruihong Qiu and
Yilun Liu and
Xue Li and
Zi Huang},
editor = {Nazli Goharian and
Nicola Tonellotto and
Yulan He and
Aldo Lipani and
Graham McDonald and
Craig Macdonald and
Iadh Ounis},
title = {{CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs}},
booktitle = {{Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II}},
series = {Lecture Notes in Computer Science},
volume = {14609},
pages = {80--95},
publisher = {Springer},
year = {2024},
url = {https://doi.org/10.1007/978-3-031-56060-6_6},
doi = {https://doi.org/10.1007/978-3-031-56060-6_6}
}