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license: mit |
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SAILER is a structure-aware pre-trained language model. It is highlighted in the following three aspects: |
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- 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. |
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- 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. |
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- SAILER has powerful discriminative ability, even without any legal annotation data. It can distinguish legal cases with different charges accurately. |
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SAILER_zh pre-training on Chinese criminal law legal case documents |
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If you find our work useful, please do not save your star and cite our work: |
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``` |
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@misc{SAILER, |
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title={SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval}, |
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author={Haitao Li and Qingyao Ai and Jia Chen and Qian Dong and Yueyue Wu and Yiqun Liu and Chong Chen and Qi Tian}, |
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year={2023}, |
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eprint={2304.11370}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.IR} |
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} |
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``` |
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