|
--- |
|
license: mit |
|
--- |
|
SAILER is a structure-aware pre-trained language model. It is highlighted in the following three aspects: |
|
|
|
- SAILER fully utilizes the structural information contained in legal case documents and pays more attention to key legal elements, similar to how legal experts browse legal case documents. |
|
|
|
- SAILER employs an asymmetric encoder-decoder architecture to integrate several different pre-training objectives. In this way, rich semantic information across tasks is encoded into dense vectors. |
|
|
|
- SAILER has powerful discriminative ability, even without any legal annotation data. It can distinguish legal cases with different charges accurately. |
|
|
|
|
|
SAILER_en pre-training on English legal case documents |
|
|
|
|
|
If you find our work useful, please do not save your star and cite our work: |
|
|
|
``` |
|
@misc{SAILER, |
|
title={SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval}, |
|
author={Haitao Li and Qingyao Ai and Jia Chen and Qian Dong and Yueyue Wu and Yiqun Liu and Chong Chen and Qi Tian}, |
|
year={2023}, |
|
eprint={2304.11370}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.IR} |
|
} |
|
``` |
