| CORD-19-PD-MONDO | | PubDictionaries annotation for MONDO terms - updated at 2020-04-30
It is disease term annotation based on MONDO.
Version 2020-04-20.
The terms in MONDO are loaded in PubDictionaries, with which the annotations in this project are produced. The parameter configuration used for this project is here.
Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved. | 6.32 M | | Jin-Dong Kim | 2023-11-27 | Released | |
| craft-sa-dev | | Development data for CRAFT SA shared task. This project contains the development (training) annotations for the Structural Annotation task of the CRAFT Shared Task 2019. This particular set contains token and sentence annotations with tokens linked via dependency relations. These dependency relations were automatically generated using the manually curated CRAFT constituency treebank files as input. | 490 K | University of Colorado Anschutz Medical Campus | craft-st | 2023-11-27 | Released | |
| LitCovid-sample-PD-GlycoEpitope | | | 1 | | Jin-Dong Kim | 2023-11-27 | Developing | |
| LitCoin_Mondo | | | 1.96 K | | Yasunori Yamamoto | 2023-11-28 | Testing | |
| LitCovid_AGAC | | | 904 | | xiajingbo | 2023-11-29 | | |
| LitCovid-sample-PD-GO-BP-0 | | | 708 | | Jin-Dong Kim | 2023-11-29 | Beta | |
| testing_230112 | | | 2 | | eatfish | 2023-11-29 | Testing | |
| glytoucan-iupac | | retrying glytoucan-iupac annotation as of march 9, 2018 | 0 | | kiyoko | 2023-11-29 | Testing | |
| LitCovid-GlycoBiology | | Articles from GlycoBiology, received by the keyword "Covid-19" | 0 | | Jin-Dong Kim | 2023-11-29 | Testing | |
| LitCovid-sentences-v1 | | Sentence segmentation of all the texts in the LitCovid literature. The segmentation is automatically obtained using the TextSentencer annotation service developed and maintained by DBCLS. | 16.5 K | | Jin-Dong Kim | 2023-11-27 | Released | |
| CORD-19-sample-UBERON | | | 54 | | Jin-Dong Kim | 2023-11-26 | Developing | |
| LitCovid-sample-PD-NCBITaxon | | | 1.35 K | | Jin-Dong Kim | 2023-11-29 | Beta | |
| 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 | |
| Test-merged-2 | | | 3.51 K | | admin | 2023-11-29 | | |
| Test-GeneOrGeneProduct | | | 1.17 K | | Jin-Dong Kim | 2023-11-29 | | |
| CORD-19-sample-FMA-UBERON | | | 61 | | Jin-Dong Kim | 2023-11-29 | Developing | |
| LitCovid-sample-Enju | | | 13.1 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
| LitCovid-sample-UniProt | | | 1.25 K | | Jin-Dong Kim | 2023-11-30 | Testing | |
| performance-test | | a project for performance test | 480 K | | Jin-Dong Kim | 2023-11-27 | Testing | |
| 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 | |
