Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,27 @@
|
|
1 |
---
|
2 |
license: mit
|
3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: mit
|
3 |
---
|
4 |
+
SAILER is a structure-aware pre-trained language model. It is highlighted in the following three aspects:
|
5 |
+
|
6 |
+
- 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.
|
7 |
+
|
8 |
+
- 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.
|
9 |
+
|
10 |
+
- SAILER has powerful discriminative ability, even without any legal annotation data. It can distinguish legal cases with different charges accurately.
|
11 |
+
|
12 |
+
|
13 |
+
SAILER_en_finetune pre-training on English legal case documents and finetuning on the COLIEE training data
|
14 |
+
|
15 |
+
|
16 |
+
If you find our work useful, please do not save your star and cite our work:
|
17 |
+
|
18 |
+
```
|
19 |
+
@misc{SAILER,
|
20 |
+
title={SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval},
|
21 |
+
author={Haitao Li and Qingyao Ai and Jia Chen and Qian Dong and Yueyue Wu and Yiqun Liu and Chong Chen and Qi Tian},
|
22 |
+
year={2023},
|
23 |
+
eprint={2304.11370},
|
24 |
+
archivePrefix={arXiv},
|
25 |
+
primaryClass={cs.IR}
|
26 |
+
}
|
27 |
+
```
|