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README.md
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@@ -40,9 +40,13 @@ Basic Spacy BioNER pipeline, with a RoBERTa-based model [bsc-bio-ehr-es] (https:
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| **Default Pipeline** | `transformer`, `ner` |
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| **Components** | `transformer`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** |
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| **License** | `[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)` |
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| **Author** | [The Text Mining Unit from Barcelona Supercomputing Center.](https://huggingface.co/PlanTL-GOB-ES) |
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### Label Scheme
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| **Default Pipeline** | `transformer`, `ner` |
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| **Components** | `transformer`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | https://huggingface.co/datasets/PlanTL-GOB-ES/cantemist-ner |
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| **License** | `[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)` |
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| **Author** | [The Text Mining Unit from Barcelona Supercomputing Center.](https://huggingface.co/PlanTL-GOB-ES) |
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| **Copyright** | Copyright by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) (2022) |
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| **Funding** | This work was funded by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) within the framework of the Plan-TL |
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### Label Scheme
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