How different is different? Systematically identifying distribution shifts and their impacts in NER datasets.
When processing natural language, we are frequently confronted with the problem of distribution shift. For example, using a model trained on a news corpus to subsequently process legal text exhibits reduced performance. While this problem is well-known, to this point, there has not been a systematic...
| Publicado en: | Language Resources & Evaluation Vol. 59; no. 2; pp. 1111 - 1151 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Nature
Jun2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |