| PMA_Manual | | Manually annotated examples of medical device PMA approval statements | 204 | Stefano Rensi | therightstef | 2023-11-27 | Developing | |
| ICU_characters | | | 286 | ming-qi-wang | | 2023-11-27 | | |
| 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 | |
| ngly1-sample1 | | | 25 | | Nuria | 2023-11-27 | | |
| LitCovid-PubTatorCentral | | Named-entities for the documents in the LitCovid dataset. Annotations were automatically predicted by the PubTatorCentral tool (https://www.ncbi.nlm.nih.gov/research/pubtator/) | 4.64 K | | zebet | 2023-11-27 | Released | |
| glycosmos-test-structure-v1 | | | 471 | | ISSAKU YAMADA | 2023-11-27 | Testing | |
| bionlp-ost-19-BB-norm-ner-test | | | 125 | | ldeleger | 2023-11-27 | Developing | |
| LitCovid-ArguminSci | | Discourse elements for the documents in the LitCovid dataset.
Annotations were automatically predicted by the ArguminSci tool (https://github.com/anlausch/ArguminSci) | 4.9 K | | zebet | 2023-11-27 | Released | |
| 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 | | Jin-Dong Kim | 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 | | Jin-Dong Kim | 2023-11-27 | Released | |
| Training_Data_English_ja_en | | | 0 | | wmtbio | 2023-11-26 | Developing | |
| Nanbyo-330-20171127 | | Disease descriptions extracted from MHLW | 19.8 K | | Toyofumi Fujiwara | 2023-11-26 | Testing | |
| 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 | |
| demo4TogoSite | | | 323 | | AikoHIRAKI | 2023-11-26 | Developing | |
| bionlp-ost-19-BB-kb-dev | | | 1.89 K | | ldeleger | 2023-11-26 | Developing | |
| test1 | | test1 | 21 | H. S. Park | Sophie Nam | 2023-11-26 | Testing | |
| SMAFIRA-Case-Studies-21494637 | | From: https://github.com/SMAFIRA/c_corpus/blob/master/SMAFIRAc_0.4_Annotations.csv | 0 | | zebet | 2023-11-26 | Developing | |
| CORD-19-SciBite-sentences | | | 11.2 K | | Jin-Dong Kim | 2023-11-26 | Testing | |
| bionlp-ost-19-BB-kb-train | | | 3.45 K | | ldeleger | 2023-11-26 | Developing | |
| CORD-19-sample-UBERON | | | 54 | | Jin-Dong Kim | 2023-11-26 | Developing | |
