ACL 2024long3 citations
Legal Case Retrieval: A Survey of the State of the Art
Yi Feng, Chuanyi Li, Vincent Ng
Abstract
Recent years have seen increasing attention on Legal Case Retrieval (LCR), a key task in the area of Legal AI that concerns the retrieval of cases from a large legal database of historical cases that are similar to a given query. This paper presents a survey of the major milestones made in LCR research, targeting researchers who are finding their way into the field and seek a brief account of the relevant datasets and the recent neural models and their performances.
BibTeX
@inproceedings{feng-etal-2024-legal,
title = "Legal Case Retrieval: A Survey of the State of the Art",
author = "Feng, Yi and
Li, Chuanyi and
Ng, Vincent",
editor = "Ku, Lun-Wei and
Martins, Andre and
Srikumar, Vivek",
booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.acl-long.350/",
doi = "10.18653/v1/2024.acl-long.350",
pages = "6472--6485"
}