Fine-grained Named Entity Recognition on CLASSER 2025 (test)
79.24PrecisionAWED-FiNER
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| AWED-FiNERLanguage=Marathi, Base Encoder=MuRIL2026.01 | 79.24 | 81 | 80.11 | |
| AWED-FiNERLanguage=Sanskrit, Base Encoder=MuRIL2026.01 | 77.62 | 78.99 | 78.3 | |
| AWED-FiNERLanguage=Nepali, Base Encoder=MuRIL2026.01 | 76.92 | 79.5 | 78.19 | |
| AWED-FiNERLanguage=Assamese, Base Encoder=MuRIL2026.01 | 74.88 | 75.62 | 75.25 | |
| AWED-FiNERLanguage=Bodo, Base Encoder=MuRIL2026.01 | 73.83 | 76.37 | 75.08 | |
| AWED-FiNERLanguage=Urdu, Base Encoder=XLM-RoBERTa2026.01 | 73.48 | 74.92 | 73.93 |