Entity Recognition on MIT Restaurant
85.35F1-macroGPT-4
Evaluation results
| Method | Links | |
|---|---|---|
| GPT-4kw=82024.02 | 85.35 | |
| NUNERkw=642024.02 | 84.79 | |
| GPT-4kw=42024.02 | 84.54 | |
| UNIVERSALNERkw=642024.02 | 83.4 | |
| NUNERkw=322024.02 | 82.53 | |
| UNIVERSALNERkw=322024.02 | 82.36 | |
| GPT-3.5kw=162024.02 | 82 | |
| NUNERkw=162024.02 | 81.58 | |
| GPT-4kw=22024.02 | 81.48 | |
| GPT-3.5kw=322024.02 | 81.34 | |
| GPT-3.5kw=82024.02 | 81 | |
| UNIVERSALNERkw=162024.02 | 80.3 | |
| GPT-3.5kw=42024.02 | 80.01 | |
| GPT-4kw=12024.02 | 79.66 | |
| GPT-3.5kw=22024.02 | 78.83 | |
| NUNERkw=82024.02 | 78.67 | |
| GPT-3.5kw=12024.02 | 77.26 | |
| UNIVERSALNERkw=82024.02 | 76.56 | |
| NUNERkw=42024.02 | 74.47 | |
| GPT-4kw=02024.02 | 69.54 | |
| GPT-3.5kw=02024.02 | 51.7 | |
| NUNERkw=22024.02 | 51.08 | |
| NUNERkw=12024.02 | 38.48 | |
| UNIVERSALNERkw=02024.02 | 28.35 |