| 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 | 2023-11-27 | Released | |
| metamap-sample | | Sample annotation of MetaMep, produced by Aronson, et al.
An overview of MetaMap: historical perspective and recent advances, JAMIA 2010 | 10.9 K | 2023-11-27 | Testing | |
| bionlp-st-ge-2016-test-proteins | | Protein annotations to the benchmark test data set of the BioNLP-ST 2016 GE task.
A participant of the GE task may import the documents and annotations of this project to his/her own project, to begin with producing event annotations.
For more details, please refer to the benchmark test data set (bionlp-st-ge-2016-test).
| 4.34 K | 2023-11-27 | Released | |
| LitCoin-entities-OrganismTaxon-PD | | | 949 | 2023-11-27 | Testing | |
| LitCovid-sample-MedDRA | | | 185 | 2023-11-27 | Testing | |
| LitCovid-PD-FMA-UBERON-v1 | | PubDictionaries annotation for anatomy terms - updated at 2020-04-20
Disease term annotation based on FMA and Uberon. Version 2020-04-20.
The terms in FMA and Uberon are loaded in PubDictionaries
(FMA and
Uberon), with which the annotations in this project are produced.
The parameter configuration used for this project is
here for FMA and
there for Uberon.
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. | 4.3 K | 2023-11-27 | Released | |
| 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 | 2023-11-27 | Released | |
| CORD-19-SciBite-sentences | | | 11.2 K | 2023-11-26 | Testing | |
| CORD-19-sample-UBERON | | | 54 | 2023-11-26 | Developing | |
| speech-test | | | 6 | 2023-11-26 | Testing | |
