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41-60 / 332 すべて表示
LocTextThe manually annotated corpus consists of 100 PubMed abstracts annotated for proteins, subcellular localizations, organisms and relations between them. The focus of the corpus is on annotation of proteins and their subcellular localizations.2.29 KGoldberg et alShrikant Vinchurkar2020-02-01公開中
PIR-corpus2The protein tag was used to tag proteins, or protein-associated or -related objects, such as domains, pathways, expression of gene. Annotation guideline: http://pir.georgetown.edu/pirwww/about/doc/manietal.pdf5.52 KUniversity of Delaware and Georgetown University Medical CenterYue Wang2020-02-01公開中
BioLarkPubmedHPO228 abstracts manually annotated with Human Phenotype Ontology (HPO) concepts and harmonized by three curators, which can be used as a reference standard for free text annotation of human phenotypes. For more info, please see Groza et al. "Automatic concept recognition using the human phenotype ontology reference and test suite corpora", 2015.7.24 KTudor Grozasimon2020-02-01公開中
DisGeNET5_variant_diseaseThe file contains variant-disease associations obtained by text mining MEDLINE abstracts using the BeFree system, including the variant and disease off sets. 144 KIBI GroupYue Wang2020-02-01公開中
DisGeNET5_gene_diseaseThe file contains gene-disease associations obtained by text mining MEDLINE abstracts using the BeFree system including the gene and disease off sets.2.04 MIBI GroupYue Wang2020-02-02公開中
GENIAcorpus multi_cell (1,782) mono_cell (222) virus (2,136) protein_family_or_group (8,002) protein_complex (2,394) protein_molecule (21,290) protein_subunit (942) protein_substructure (129) protein_domain_or_region (1,044) protein_other (97) peptide (521) amino_acid_monomer (784) DNA_family_or_group (332) DNA_molecule (664) DNA_substructure (2) DNA_domain_or_region (39) DNA_other (16) RNA_family_or_group (1,545) RNA_molecule (554) RNA_substructure (106) RNA_domain_or_region (8,237) RNA_other (48) polynucleotide (259) nucleotide (243) lipid (2,375) carbohydrate (99) other_organic_compound (4,113) body_part (461) tissue (706) cell_type (7,473) cell_component (679) cell_line (4,129) other_artificial_source (211) inorganic (258) atom (342) other (21,056) 79.2 KGENIA ProjectYue Wang2020-02-02公開中
SPECIES800SPECIES 800 (S800): an abstract-based manually annotated corpus. S800 comprises 800 PubMed abstracts in which organism mentions were identified and mapped to the corresponding NCBI Taxonomy identifiers. Described in: The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text. Pafilis E, Frankild SP, Fanini L, Faulwetter S, Pavloudi C, et al. (2013). PLoS ONE, 2013, 8(6): e65390. doi:10.1371/journal.pone.00653903.71 KEvangelos Pafilis, Sune P. Frankild, Lucia Fanini, Sarah Faulwetter, Christina Pavloudi, Aikaterini Vasileiadou, Christos Arvanitidis, Lars Juhl Jensenevangelos2020-02-02公開中
jnlpba-st-trainingThe training data used in the task came from the GENIA version 3.02 corpus, This was formed from a controlled search on MEDLINE using the MeSH terms "human", "blood cells" and "transcription factors". From this search, 1,999 abstracts were selected and hand annotated according to a small taxonomy of 48 classes based on a chemical classification. Among the classes, 36 terminal classes were used to annotate the GENIA corpus. For the shared task only the classes protein, DNA, RNA, cell line and cell type were used. The first three incorporate several subclasses from the original taxonomy while the last two are interesting in order to make the task realistic for post-processing by a potential template filling application. The publication year of the training set ranges over 1990~1999.51.3 KGENIAYue Wang2020-02-02公開中
PubMed_Structured_AbstractsSections (zones) as retrieved from PubMed.1.58 Kzebet2020-02-21公開中
PubMed_ArguminSciPredictions for PubMed automatically extracted with the ArguminSci tool (https://github.com/anlausch/ArguminSci).14.4 Kzebet2020-02-21公開中
DisGeNETDisease-Gene association annotation.3.12 MNuria Queralt Jin-Dong Kim2016-01-28ベータ
NEUROSESThis 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.2.15 Mnestoralvaro2016-02-24ベータ
bionlp-st-ge-2016-uniprotUniProt 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 KDBCLSJin-Dong Kim2016-05-22ベータ
Ab3P-abbreviationsThis corpus was developed during the creation of the Ab3P abbreviation definition identification tool. It includes 1250 manually annotated MEDLINE records. This gold standard includes 1221 abbreviation-definition pairs. Abbreviation definition identification based on automatic precision estimates Sunghwan Sohn, Donald C Comeau, Won Kim and W John Wilbur BMC Bioinformatics20089:402 DOI: 10.1186/1471-2105-9-4022.34 KSunghwan Sohn, Donald C Comeau, Won Kim and W John Wilburcomeau2016-07-29ベータ
PubCasesHPOHPO annotation in PubCases3.2 MToyofumi Fujiwara2017-09-06ベータ
PubCasesORDOORDO annotation in PubCases869 KToyofumi Fujiwara2017-09-14ベータ
PubmedHPOHuman phenotype annotation to PubMed abstracts, based on the HPO ontology12.4 MTudor Grozatudor2017-10-11ベータ
QFMC_MEDLINEQuaero French Medical Corpus: Annotation of MEDLINE titles5.97 KAurélie NévéolPierre Zweigenbaum2018-01-24ベータ
Genomics_InformaticsGenomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Text corpus for this journal annotated with various levels of linguistic information would be a valuable resource as the process of information extraction requires syntactic, semantic, and higher levels of natural language processing. In this study, we publish our new corpus called GNI Corpus version 1.0, extracted and annotated from full texts of Genomics & Informatics, with NLTK (Natural Language ToolKit)-based text mining script. The preliminary version of the corpus could be used as a training and testing set of a system that serves a variety of functions for future biomedical text mining.35.3 KHyun-Seok Parkewha-bio2018-11-27ベータ
blah6_medical_deviceBLAH6 hackathon project to annotate medical device indications in premarket approval statement summaries. The documents in this project serve as a corpus of premarket approval (PMA) statements that have undergone quality control. In particular, we have (1) removed non-ascii characters, (2) fixed some text segmentation errors, and (3) fixed some capitalization errors.0Stefano Rensitherightstef2020-02-13ベータ
NameT# Ann.AuthorMaintainerUpdated_atStatus

41-60 / 332 すべて表示
LocText2.29 KGoldberg et alShrikant Vinchurkar2020-02-01公開中
PIR-corpus25.52 KUniversity of Delaware and Georgetown University Medical CenterYue Wang2020-02-01公開中
BioLarkPubmedHPO7.24 KTudor Grozasimon2020-02-01公開中
DisGeNET5_variant_disease144 KIBI GroupYue Wang2020-02-01公開中
DisGeNET5_gene_disease2.04 MIBI GroupYue Wang2020-02-02公開中
GENIAcorpus79.2 KGENIA ProjectYue Wang2020-02-02公開中
SPECIES8003.71 KEvangelos Pafilis, Sune P. Frankild, Lucia Fanini, Sarah Faulwetter, Christina Pavloudi, Aikaterini Vasileiadou, Christos Arvanitidis, Lars Juhl Jensenevangelos2020-02-02公開中
jnlpba-st-training51.3 KGENIAYue Wang2020-02-02公開中
PubMed_Structured_Abstracts1.58 Kzebet2020-02-21公開中
PubMed_ArguminSci14.4 Kzebet2020-02-21公開中
DisGeNET3.12 MNuria Queralt Jin-Dong Kim2016-01-28ベータ
NEUROSES2.15 Mnestoralvaro2016-02-24ベータ
bionlp-st-ge-2016-uniprot16.2 KDBCLSJin-Dong Kim2016-05-22ベータ
Ab3P-abbreviations2.34 KSunghwan Sohn, Donald C Comeau, Won Kim and W John Wilburcomeau2016-07-29ベータ
PubCasesHPO3.2 MToyofumi Fujiwara2017-09-06ベータ
PubCasesORDO869 KToyofumi Fujiwara2017-09-14ベータ
PubmedHPO12.4 MTudor Grozatudor2017-10-11ベータ
QFMC_MEDLINE5.97 KAurélie NévéolPierre Zweigenbaum2018-01-24ベータ
Genomics_Informatics35.3 KHyun-Seok Parkewha-bio2018-11-27ベータ
blah6_medical_device0Stefano Rensitherightstef2020-02-13ベータ