| ENG_RE_pruas | | | 248 | | pruas_18 | 2023-12-01 | Developing | |
| ENG_RE_mabarros | | | 193 | | mabarros | 2023-11-26 | Developing | |
| ENG_RE_Diana | | | 213 | | dpavot | 2023-11-29 | Developing | |
| ENG_RE_CONSENSUS | | | 250 | | dpavot | 2023-11-28 | | |
| ENG_RE | | Entities and relations annotations from the following ontologies: Disease Ontology ('DO'), Gene Ontology ('GO'), Human Phenotype Ontology ('HPO'), and ChEBI ontology ('CHEBI'). | 224 | Diana Sousa | dpavot | 2023-11-29 | Developing | |
| ENG_NER_NEL_pruas | | | 582 | Pedro Ruas | pruas_18 | 2023-11-30 | Developing | |
| ENG_NER_NEL_mabarros | | | 452 | | mabarros | 2023-12-01 | Developing | |
| ENG_NER_NEL_Diana | | | 461 | | dpavot | 2023-11-29 | Uploading | |
| ENG_NER_NEL_CONSENSUS | | | 607 | | dpavot | 2023-11-28 | Developing | |
| ENG_NER_NEL | | Annotations in COVID-19 related PubMed abstracts from the following ontologies: Disease Ontology ("do"), Gene Ontology ("go"), Human Phenotype Ontology ("hpo"), ChEBI ontology ("chebi"), MeSH
| 493 | LASIGE-DeST | pruas_18 | 2023-11-26 | Developing | |
| EDAN70 | | NLP tagging of articles concerning covid19. | 0 | | fettmedknaoz | 2023-11-29 | | |
| EDAM-topics | | annotation for EDAM topics | 11.6 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
| EDAM-DFO | | annotation for EDAM terms for data, formats, and operations | 12.5 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
| EC-Neurodegenerative | | Alternative methods to animal experiments for neurodegenerative diseases. | 0 | | zebet | 2023-11-30 | Developing | |
| EBM_test | | | 35 | | Suexuan | 2024-08-23 | | |
| DPCIannotation01 | | | 0 | | Suexuan | 2024-08-22 | | |
| DocumentLevelAnnotationSample | | A sample project for document level annotation | 47 | | Jin-Dong Kim | 2023-11-29 | Testing | |
| DLUT931 | | DLUT NLP Lab.Test our event extration result for 16 GE task. | 4.57 K | | DLUT931 | 2023-11-30 | Testing | |
| DisGeNET5_variant_disease | | The file contains variant-disease associations obtained by text mining MEDLINE abstracts using the BeFree system, including the variant and disease off sets. | 144 K | IBI Group | Yue Wang | 2023-11-24 | Released | |
| DisGeNET5_gene_disease | | The file contains gene-disease associations obtained by text mining MEDLINE abstracts using the BeFree system including the gene and disease off sets. | 2.04 M | IBI Group | Yue Wang | 2023-11-24 | Released | |
