EDAM-DFO | | annotation for EDAM terms for data, formats, and operations | 12.5 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
LitCovid-sample-Enju | | | 13.1 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
LitCovid-PD-MONDO-v1 | | PubDictionaries annotation for disease terms - updated at 2020-04-20
It is 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. | 13.4 K | | Jin-Dong Kim | 2023-11-29 | Released | |
LitCoin-PubTator-for-Tuning | | A set of randomly selected PubMed articles with PubTator annotation.
The labels of PubTator annotations are converted to corresponding labels for LitCoin as follows:
'Gene' -> 'GeneOrGeneProduct',
'Disease' -> 'DiseaseOrPhenotypicFeature',
'Chemical' -> 'ChemicalEntity'
'Species' -> 'OrganismTaxon'
'Mutation' -> 'SequenceVariant'
'CellLine' -> 'CellLine' | 14.2 K | | Jin-Dong Kim | 2023-11-29 | | |
bionlp-st-ge-2016-test-ihmc | | | 14.4 K | Lucian Galescu | | 2023-11-29 | Testing | |
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 | |
LitCoin-training-merged | | | 14.8 K | | Jin-Dong Kim | 2023-11-24 | | |
LitCoin-GeneOrGeneProduct-v0 | | https://pubdictionaries.org/text_annotation.json?dictionary=NCBIGene-NER&threshold=0.85&abbreviation=true | 15.8 K | | Jin-Dong Kim | 2023-11-29 | | |
bionlp-st-ge-2016-uniprot | | UniProt protein annotation to the benchmark data set of BioNLP-ST 2016 GE task: reference data set (bionlp-st-ge-2016-reference) and test data set (bionlp-st-ge-2016-test).
The annotations are produced based on a dictionary which is semi-automatically compiled for the 34 full paper articles included in the benchmark data set (20 in the reference data set + 14 in the test data set).
For detailed information about BioNLP-ST GE 2016 task data sets, please refer to the benchmark reference data set (bionlp-st-ge-2016-reference) and benchmark test data set (bionlp-st-ge-2016-test).
| 16.2 K | DBCLS | Jin-Dong Kim | 2023-11-29 | Beta | |
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 | |
test-210614 | | | 17.8 K | | Jin-Dong Kim | 2024-01-05 | Testing | |
preeclampsia_genes | | | 17.8 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
sonoma | | _ | 19.3 K | Standigm | | 2023-11-24 | Testing | |
Glycosmos6-GlycoEpitope | | Automatic annotation by PD-GlycoEpitope. | 19.9 K | | Jin-Dong Kim | 2023-11-28 | Developing | |
Goldhamster2_Cellosaurus | | | 27.5 K | | zebet | 2023-11-29 | Developing | |
OryzaGP | | A dataset for Named Entity Recognition for rice gene | 29.1 K | Huy Do and Pierre Larmande | Yue Wang | 2023-11-24 | Uploading | |
biosemtest | | test submitting Peregrine annotations | 35.6 K | Mark Thompson | markthompson | 2023-11-29 | Testing | |
OryzaGP_2022 | | | 41.3 K | | larmande | 2023-11-24 | | |
Preeclampsia | | A collection of titles and abstracts of "Preeclampsia"-related papers. They were extracted from PubMed using the MeSH term "Preeclampsia" and specifying the language to be "English, on 11th September, 2017.
The texts were then annotated by PubDictionaries using the dictionary "Preeclampsia". | 58.7 K | | callahan_tiff | 2023-11-29 | Developing | |
FSU-PRGE | | A new broad-coverage corpus composed of 3,306 MEDLINE abstracts dealing with gene and protein mentions.
The annotation process was semi-automatic.
Publication: http://aclweb.org/anthology/W/W10/W10-1838.pdf | 59.5 K | CALBC Project | Yue Wang | 2023-11-26 | Released | |