Summary of Automatic Information Extraction From Employment Tribunal Judgements Using Large Language Models, by Joana Ribeiro De Faria et al.
Automatic Information Extraction From Employment Tribunal Judgements Using Large Language Models
by Joana Ribeiro de Faria, Huiyuan Xie, Felix Steffek
First submitted to arxiv on: 19 Mar 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 paper presents a comprehensive study on the application of GPT-4, a large language model (LLM), for automatic information extraction from UK Employment Tribunal (UKET) cases. The authors meticulously evaluated GPT-4’s performance in extracting critical information with a manual verification process to ensure the accuracy and relevance of the extracted data. Two primary extraction tasks are identified: general extraction of eight key aspects, including facts, claims, legal statutes, precedents, case outcomes, detailed order, remedies, and reasons for the decision; and focused analysis of three extracted features (facts, claims, and outcomes) to facilitate outcome prediction in employment law disputes. The study demonstrates that LLMs like GPT-4 can obtain high accuracy in legal information extraction, with implications for legal research and practice. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper uses a big language model called GPT-4 to help extract important information from old court cases. This is useful because it helps people understand what happened in the case and why. The researchers tested how well GPT-4 did at extracting this information by checking it against the original documents. They found that GPT-4 was very good at doing this, which could be helpful for lawyers and others who need to quickly find important details in old cases. |
Keywords
» Artificial intelligence » Gpt » Language model » Large language model
