| RDoCTask1SampleData | | Each annotation file contains an annotated abstract with an RDoC category. Each title span in these sample data is annotated with the corresponding related RDoC construct, although the RDoC category would apply for the entire abstract. The annotation data are formatted as json files. Please refer to the following page for a more detailed description of the json format http://www.pubannotation.org/docs/annotation-format/. | 20 | | mmanani1s | 2023-11-29 | Released | |
| nakashima | | | 0 | | nakashima | 2023-11-29 | Testing | |
| Test190926 | | test | 0 | Takeru Nakazato | nakazato | 2023-11-29 | Testing | |
| Nalee | | trial version | 1 | | Nakyolee | 2023-11-28 | | |
| NAKLEE | |
| 0 | | Nakyolee | 2017-07-13 | | |
| bayaba | | nalee | 7 | | Nakyolee | 2023-11-29 | | |
| Text-Annotation | | | 0 | | | 2022-01-17 | | |
| NEUROSES | | This corpus is composed of PubMed articles containing cognitive enhancers and anti-depressants drug mentions. The selected sentences are automatically annotated using the NCBO Annotator with the Chemical Entities of Biological Interest (CHEBI) and Phenotypic Quality Ontology (PATO) ontologies, we also produced annotations using PhenoMiner ontology via a dictionary-based tagger. | 2.14 M | | nestoralvaro | 2023-11-24 | Beta | |
| BLAH2015_Annotations_test_5 | | | 1.34 K | nestoralvaro | nestoralvaro | 2023-11-30 | Testing | |
| BLAH2015_Annotations_Adderall | | | 0 | nestoralvaro | nestoralvaro | 2023-11-29 | Testing | |
| acggdb_ggdb | | | 0 | | nfujita | 2023-11-29 | | |
| bionlp-st-ge-2016-spacy-parsed | | Dependency parses produced by spaCy parser, and part-of-speech tags produced by Stanford tagger (with the wsj-0-18-left3words-nodistsim model). The exact procedure is described here. Data set contains the 34 full paper articles used in the BioNLP 2016 GE task.
| 225 K | Nico Colic | Nico Colic | 2023-11-29 | Released | |
| PA-LLM-test | | | 0 | | Nico Colic | 2024-01-19 | Testing | |
| PA-LLM | | 🖐️ LLMs for biomedical text summarisation | 0 | | Nico Colic | 2024-01-19 | Developing | |
| LitCovid-PMC-OGER-BB | | Annotating PMC articles with OGER and BioBert, according to an hand-crafted Covid-specific dictionary and the 10 different CRAFT ontologies (http://bionlp-corpora.sourceforge.net/CRAFT/):
Chemical Entities of Biological Interest (CHEBI),
Cell Ontology (CL),
Entrez Gene (UBERON),
Gene Ontology (biological process (GO-BP), cellular component (GO-CC), and molecular function (GO-MF),
NCBI Taxonomy (NCBITaxon),
Protein Ontology (PR),
Sequence Ontology (SO) | 3.14 M | Fabio Rinaldi | Nico Colic | 2023-11-24 | Developing | |
| tees-test | | Random PMC document used for testing during the development of a RESTful TEES parsing web service. | 3.39 K | Nico Colic | Nico Colic | 2023-11-24 | Developing | |
| LitCovid-OGER-BB | | Using OGER (www.ontogene.com) and Biobert to obtain annotations for 10 different vocabularies. | 308 K | Fabio Rinaldi | Nico Colic | 2023-11-28 | Released | |
| bionlp-st-ge-2016-reference-tees | | NER and event extraction produced by TEES (with the default GE11 model) for the 20 full papers used in the BioNLP 2016 GE task reference corpus. | 14.6 K | Nico Colic | Nico Colic | 2023-11-29 | Released | |
| bionlp-st-ge-2016-test-tees | | NER and event extraction produced by TEES (with the default GE11 model) for the 14 full papers used in the BioNLP 2016 GE task test corpus. | 9.17 K | Nico Colic | Nico Colic | 2023-11-29 | Released | |
| 2015-BEL-Sample-2 | | The 295 BEL statements for sample set used for the 2015 BioCreative challenge. | 11.4 K | Fabio Rinaldi | Nico Colic | 2023-11-28 | Released | |
