Summary of Annotating References to Mythological Entities in French Literature, by Thierry Poibeau (lattice)
Annotating References to Mythological Entities in French Literature
by Thierry Poibeau
First submitted to arxiv on: 24 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 This paper investigates the potential of large language models (LLMs) in annotating references to Roman and Greek mythological entities in French literature. The researchers introduce an annotation scheme and demonstrate its effectiveness using recent LLMs, although acknowledging that these models sometimes make significant analytical errors. Additionally, they show that LLMs, specifically ChatGPT, can provide interpretative insights into the use of mythological references by literary authors. However, the study also highlights limitations, including the struggle to accurately identify relevant passages in novels and generate fabricated examples, raising ethical concerns. Nevertheless, when used carefully, LLMs remain valuable tools for high-accuracy annotations, particularly for large-scale tasks that would be challenging to accomplish manually. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how big language models can help with labeling references to old myths in modern French books. The researchers create a system and show it works well using recent big language models, even though sometimes they make mistakes. They also find that these models can give insights into why authors use mythological references. However, the study shows some limitations, like struggling to find important parts in novels and making things up. This raises concerns about what’s real and what’s not. Despite this, when used correctly, big language models are useful for labeling things accurately, especially if it would be hard to do by hand. |
