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| Main Authors: | , , , |
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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.20121761 |
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| _version_ | 1866901790739398656 |
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| author | Grande, Eduardo Muñoz, Rafael Gutierrez, Yoan Saquete, Estela |
| author_facet | Grande, Eduardo Muñoz, Rafael Gutierrez, Yoan Saquete, Estela |
| contents | T2KNOW is a biomedical nested named entity recognition resource focused on Huntington's disease literature. This rights-aware hybrid release contains the complete annotation, metadata, provenance, validation, evaluation, and benchmark layers for all 821 reviewed source documents. Source text is redistributed only for records with documented permissive redistribution evidence; text-excluded records are supported through source identifiers, checksums, split assignments, and reconstruction metadata. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20121761 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | T2KNOW: A Huntington's Disease Literature Corpus for Nested and Same-Span Multi-Label Biomedical Named Entity Recognition Grande, Eduardo Muñoz, Rafael Gutierrez, Yoan Saquete, Estela named entity recognition biomedical NLP nested NER Huntington's disease language resource T2KNOW is a biomedical nested named entity recognition resource focused on Huntington's disease literature. This rights-aware hybrid release contains the complete annotation, metadata, provenance, validation, evaluation, and benchmark layers for all 821 reviewed source documents. Source text is redistributed only for records with documented permissive redistribution evidence; text-excluded records are supported through source identifiers, checksums, split assignments, and reconstruction metadata. |
| title | T2KNOW: A Huntington's Disease Literature Corpus for Nested and Same-Span Multi-Label Biomedical Named Entity Recognition |
| topic | named entity recognition biomedical NLP nested NER Huntington's disease language resource |
| url | https://doi.org/10.5281/zenodo.20121761 |