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Name TDescription# Ann.AuthorMaintainerUpdated_atStatus

1-20 / 198 show all
2015-BEL-SampleAn attempt to upload 295 BEL statements, i.e. the sample set used for the 2015 BioCreative challenge. 58Fabio RinaldiFabio Rinaldi2015-02-26Testing
2015-BEL-Sample-2The 295 BEL statements for sample set used for the 2015 BioCreative challenge.11.4 KFabio RinaldiNico Colic2016-05-25Released
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 Wilburcomeau2016-07-29Beta
acggdb_ggdb0nfujita2018-02-09
AGCA_SueActive Gene Annotation Corpus for the Application in Drug Repurposing Discovery0Jingbo Xia, Xuan Qin, Kaiyin Zhou2017-11-13Developing
AIMedThe AIMed corpus is one of the most widely used corpora for protein-protein interaction extraction. The protein annotations are either parts of the protein interaction annotations, or are uninvolved in any protein interaction annotation. Publication: http://www.cs.utexas.edu/~ml/papers/bionlp-aimed-04.pdf4.04 KThe University of Texas at AustinYue Wang2017-04-14Testing
AllieAn annotation set of abbreviations and expanded forms extracted from PubMed/MEDLINE by machines.8.7 MDatabase Center for Life ScienceYasunori Yamamoto2017-11-20Developing
AlvisNLP-Async-TestTest for the asynchronous AlvisNLP/ML annotator family.0Robert Bossyrbossy2017-04-07Testing
AlvisNLP-TestProject for testing AlviNLP PubAnnotation server during BLAH3.17Bibliome2017-01-20Testing
AnEM_abstracts250 documents selected randomly from citation abstracts Entity types: organism subdivision, anatomical system, organ, multi-tissue structure, tissue, cell, developing anatomical structure, cellular component, organism substance, immaterial anatomical entity and pathological formation Together with AnEM_full-texts, it is probably the largest manually annotated corpus on anatomical entities.1.95 KNaCTeMYue Wang2016-06-07Released
AnEM_full-texts250 documents selected randomly from full-text papers Entity types: organism subdivision, anatomical system, organ, multi-tissue structure, tissue, cell, developing anatomical structure, cellular component, organism substance, immaterial anatomical entity and pathological formation Together with AnEM_abstracts, it is probably the largest manually annotated corpus on anatomical entities.689NaCTeMYue Wang2016-07-27Uploading
Annotation-Euglena-Enzymes0Shuichi Kawashima2016-06-13Developing
bayabanalee7Nakyolee2017-07-13
BioASQ-samplecollection of PubMed articles which appear in the BioASQ sample data set.0BioASQJin-Dong Kim2015-10-13Testing
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 Grozasimon2017-03-28Released
BioMedLATAnnotation of 643 questions from BioASQ with the Lexical Answer Type (LAT) and headword.02016-09-23Developing
BioNLP16_DUT6.5 KMessiy2017-06-01Testing
BioNLP16_Messiy6.5 KMessiy2017-06-02Testing
bionlp-st-2016-SeeDev-devEntities and event annotations from the development set of the BioNLP-ST 2016 SeeDev task. SeeDev task focuses on seed storage and reserve accumulation on the model organism, Arabidopsis thaliana. The SeeDev task is based on the knowledge model Gene Regulation Network for Arabidopsis (GRNA) that meets the needs of text-mining (i.e. manual annotation of texts and automatic information extraction), experimental data indexing and retrieval and reuse in other plant systems. It is also expected to meet the requirements of the integration of the text knowledge with knowledge derived from experimental data in view of modeling in systems biology. GRNA model defines 16 different types of entities, and 22 types of event (in five sets of event types) that may be combined in complex events. For more information, please refer to the task website All annotations : Train set Development set Test set (without events) 61EstelleChaix2018-01-13Released
bionlp-st-2016-SeeDev-testEntities annotations from the test set of the BioNLP-ST 2016 SeeDev task. SeeDev task focuses on seed storage and reserve accumulation on the model organism, Arabidopsis thaliana. The SeeDev task is based on the knowledge model Gene Regulation Network for Arabidopsis (GRNA) that meets the needs of text-mining (i.e. manual annotation of texts and automatic information extraction), experimental data indexing and retrieval and reuse in other plant systems. It is also expected to meet the requirements of the integration of the text knowledge with knowledge derived from experimental data in view of modeling in systems biology. GRNA model defines 16 different types of entities, and 22 types of event (in five sets of event types) that may be combined in complex events. For more information, please refer to the task website All annotations : Train set Development set Test set (without events) 184EstelleChaix2018-01-13Released
Name T# Ann.AuthorMaintainerUpdated_atStatus

1-20 / 198 show all
2015-BEL-Sample58Fabio RinaldiFabio Rinaldi2015-02-26Testing
2015-BEL-Sample-211.4 KFabio RinaldiNico Colic2016-05-25Released
Ab3P-abbreviations2.34 KSunghwan Sohn, Donald C Comeau, Won Kim and W John Wilburcomeau2016-07-29Beta
acggdb_ggdb0nfujita2018-02-09
AGCA_Sue0Jingbo Xia, Xuan Qin, Kaiyin Zhou2017-11-13Developing
AIMed4.04 KThe University of Texas at AustinYue Wang2017-04-14Testing
Allie8.7 MDatabase Center for Life ScienceYasunori Yamamoto2017-11-20Developing
AlvisNLP-Async-Test0Robert Bossyrbossy2017-04-07Testing
AlvisNLP-Test17Bibliome2017-01-20Testing
AnEM_abstracts1.95 KNaCTeMYue Wang2016-06-07Released
AnEM_full-texts689NaCTeMYue Wang2016-07-27Uploading
Annotation-Euglena-Enzymes0Shuichi Kawashima2016-06-13Developing
bayaba7Nakyolee2017-07-13
BioASQ-sample0BioASQJin-Dong Kim2015-10-13Testing
BioLarkPubmedHPO7.24 KTudor Grozasimon2017-03-28Released
BioMedLAT02016-09-23Developing
BioNLP16_DUT6.5 KMessiy2017-06-01Testing
BioNLP16_Messiy6.5 KMessiy2017-06-02Testing
bionlp-st-2016-SeeDev-dev61EstelleChaix2018-01-13Released
bionlp-st-2016-SeeDev-test184EstelleChaix2018-01-13Released