Comparative Evaluation of Pretrained Transformer Models for Named Entity Recognition in Informal Pharmacological Texts
Named Entity Recognition models are widely used across various domains to analyze and understand textual data. Their applications are particularly significant in pharmacological and biomedical fields, where extracting relevant entities is crucial. A key factor in developing an effective NER model is...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
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Kafrelsheikh University, Faculty of Computers and Information
2025-07-01
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| coleção: | Kafrelsheikh Journal of Information Sciences |
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| Acesso em linha: | https://kjis.journals.ekb.eg/article_437562.html |
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