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October 10, 2025Information Technology And ControlOpen Access

A Hybrid Summarization Model for Legal Judgment Document Based on Domain Knowledge

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Authors

SYSong Yu-meiGuizhou UniversityRHRuizhang HuangGuizhou UniversityYCYanping ChenChina State Construction Engineering (China)

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Implication

This model improves content accuracy in legal judgment documents, highlighting the importance of domain knowledge.

Key Points

  • The proposed model provides more accurate summaries by integrating extractive and abstractive summarization strategies.
  • Using ROUGE metrics, experiments confirm the model outperforms traditional summarization methods in the legal domain.
  • Domain knowledge is crucial for enhancing the readability and completeness of summaries from legal judgment documents.
  • This approach addresses limitations faced by conventional methods, ensuring professional expression is preserved.

Cite This Study

Yu-mei et al. (2024) studied this question.

synapsesocial.com/papers/68e865117ef2f04ca37e4f17https://doi.org/10.5755/j01.itc.53.3.36602
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Summarization of Legal Documents Using Machine Learning Models2026
  2. 2Summarization of Legal Documents Using Machine Learning Models2026
  3. 3Low-Resource Court Judgment Summarization for Common Law Systems2024
  4. 4A SURVEY ON SUMMARIZATION OF LEGAL TEXTS2024 · 1 citations
  5. 5An improved approach for generating summaries of judicial instruments2024