UseCases_ArguminSci_Discourse | | Predictions from ArguminSci(http://lelystad.informatik.uni-mannheim.de/) for the seven datasets and for discourse categories | 7.12 K | | zebet | 2023-11-29 | Developing | |
LitCoin-Disease-Tuning-1 | | Annotator=PD-MeSH2022_C_F03_plus_allFN-B | 6.98 K | | yucca | 2023-11-29 | | |
NCBIDiseaseCorpus | | The NCBI disease corpus is fully annotated at the mention and concept level to serve as a research resource for the biomedical natural language processing community. | 6.85 K | Rezarta Islamaj Doğan,Robert Leaman,Zhiyong Lu | Chih-Hsuan Wei | 2023-11-29 | Released | |
testone | | | 6.76 K | | ykyao | 2023-11-29 | | |
proj_h_1 | | | 6.7 K | | | 2023-11-24 | | |
LitCovid_Glycan-Motif-Structure | | PubDictionaries annotation for glycan-Motif terms. | 6.51 K | | ISSAKU YAMADA | 2023-11-29 | Beta | |
BioNLP16_DUT | | | 6.5 K | | Messiy | 2023-11-29 | Testing | |
BioNLP16_Messiy | | | 6.5 K | | Messiy | 2023-11-29 | Testing | |
KAIST_NLP_Annotation9 | | | 6.32 K | | kaist_nlp | 2023-11-28 | Developing | |
KAIST_NLP_Annotation13 | | | 6.27 K | | kaist_nlp | 2023-11-29 | Developing | |
KAIST_NLP_Annotation5 | | | 6.27 K | | kaist_nlp | 2023-11-29 | Developing | |
LitEisuke | | | 6.12 K | | Eisuke Dohi | 2023-11-29 | Developing | |
QFMC_MEDLINE | | Quaero French Medical Corpus:
Annotation of MEDLINE titles | 5.9 K | Aurélie Névéol | Pierre Zweigenbaum | 2023-11-29 | Beta | |
wangzhuo19_800_3 | | | 5.87 K | | wangzhuo | 2024-09-23 | | |
maxiaofeng52_800_3 | | | 5.81 K | | maxiaofeng52 | 2024-10-04 | | |
LitCovid_AGAC_only | | | 5.73 K | | xiajingbo | 2023-11-29 | | |
Zierdiyeerkenaili_800_3 | | | 5.67 K | | Zierdiyeerkenaili | 2024-10-05 | | |
chenxin_473849_800_3 | | | 5.64 K | | chenxin0102 | 2024-10-04 | | |
bionlp-st-id-2011-training | | The training dataset from the infectious diseases (ID) task in the BioNLP Shared Task 2011.
Entity types: - Genes and gene products: gene, RNA, and protein name mentions. - Two-component systems: mentions of the names of two-component regulatory systems, frequently embedding the names of the two Proteins forming the system.- Chemicals: mentions of chemical compounds such as "NaCL".- Organisms: mentions of organism names or organism specification through specific properties (e.g. "graRS mutant").- Regulons/Operons: mentions of names of specific regulons and operons. | 5.61 K | University of Tokyo Tsujii Laboratory, NaCTeM and Biocomplexity Institute of Virginia Tech | Yue Wang | 2023-11-28 | Released | |
yaoziqian_800_3 | | | 5.61 K | | yaoziqian1 | 2024-10-05 | | |