Divide and Conquer: Legal Concept-guided Criminal Court View Generation

Qi Xu, Xiao Wei, Hang Yu, Qian Liu, Hao Fei

Abstract
The Criminal Court View Generation task aims to produce explanations that inform judicial decisions. This necessitates a nuanced understanding of diverse legal concepts, such as Recidivism, Confess, and Robbery, which often coexist within cases, complicating holistic analysis. However, existing methods mainly rely on the generation capability of language models, without paying enough attention to the important legal concepts.To enhance the precision and depth of such explanations, we introduce Legal Concept-guided Criminal Court Views Generation (LeGen), a three-stage approach designed for iterative reasoning tailored to individual legal constructs.Specifically, in the first stage, we design a decomposer to divide the court views into focused sub-views, each anchored around a distinct legal concept. Next, a concept reasoning module generates targeted rationales by intertwining the deconstructed facts with their corresponding legal frameworks, ensuring contextually relevant interpretations.Finally, a verifier and a generator are employed to align the rationale with the case fact and obtain synthesized comprehensive and legally sound final court views, respectively.We evaluate LeGen by conducting extensive experiments on a real-world dataset and experimental results validate the effectiveness of our proposed model. Our codes are available at https://anonymous.4open.science/r/LeGen-5625.
Anthology ID:
2024.findings-emnlp.194
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2024
Month:
November
Year:
2024
Address:
Miami, Florida, USA
Editors:
Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3395–3410
Language:
URL:
https://preview.aclanthology.org/icon-24-ingestion/2024.findings-emnlp.194/
DOI:
10.18653/v1/2024.findings-emnlp.194
Bibkey:
Cite (ACL):
Qi Xu, Xiao Wei, Hang Yu, Qian Liu, and Hao Fei. 2024. Divide and Conquer: Legal Concept-guided Criminal Court View Generation. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 3395–3410, Miami, Florida, USA. Association for Computational Linguistics.
Cite (Informal):
Divide and Conquer: Legal Concept-guided Criminal Court View Generation (Xu et al., Findings 2024)
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PDF:
https://preview.aclanthology.org/icon-24-ingestion/2024.findings-emnlp.194.pdf
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