Summary of Large Language Models For Judicial Entity Extraction: a Comparative Study, by Atin Sakkeer Hussain et al.
Large Language Models for Judicial Entity Extraction: A Comparative Study
by Atin Sakkeer Hussain, Anu Thomas
First submitted to arxiv on: 8 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed research investigates the application of large language models (LLMs) for domain-specific entity recognition in case law documents. It evaluates the performance of state-of-the-art LLM architectures, including Large Language Model Meta AI 3, Mistral, and Gemma, on extracting judicial facts from Indian judicial texts. The study highlights the efficacy of LLMs in identifying domain-specific entities (e.g., courts, petitioner, judge, lawyer, respondents, FIR nos.) and their aptitude for handling domain-specific language complexity and contextual variations. Key findings indicate that Mistral and Gemma emerged as top-performing models, showcasing balanced precision and recall crucial for accurate entity identification. The research demonstrates the value of LLMs in judicial documents and facilitates scientific research by producing precise, organized data outputs. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The study explores how big language models can help identify important facts (entities) in legal texts like court cases. These models are really good at finding specific things like court names, people involved, and case numbers. The researchers tested different models on Indian law documents and found that some models did much better than others. They discovered that two models, Mistral and Gemma, were the best at accurately identifying these important facts. This research shows how language models can help legal professionals by providing accurate information quickly. |
Keywords
» Artificial intelligence » Large language model » Precision » Recall
