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NameTDescription# Ann.AuthorMaintainer Updated_atStatus

221-240 / 590 show all
NEUROSES This 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.2.14 Mnestoralvaro2023-11-24Beta
BLAH2015_Annotations_test_5 1.34 Knestoralvaronestoralvaro2023-11-30Testing
BLAH2015_Annotations_Adderall 0nestoralvaronestoralvaro2023-11-29Testing
Text-Annotation 02022-01-17
bayaba nalee7Nakyolee2023-11-29
Nalee trial version 1Nakyolee2023-11-28
NAKLEE 0Nakyolee2017-07-13
Test190926 test0Takeru Nakazatonakazato2023-11-29Testing
nakashima 0nakashima2023-11-29Testing
RDoCTask2SampleData Each annotation file contains an annotated abstract with the most relevant sentence. The relevant sentence is annotated with the RDoC category name. The annotation data are formatted as json files. Please refer to the following page for a more detailed description of the json format http://www.pubannotation.org/docs/annotation-format/. 10mmanani1s2023-11-29Released
RDoCTask1SampleData Each annotation file contains an annotated abstract with an RDoC category. Each title span in these sample data is annotated with the corresponding related RDoC construct, although the RDoC category would apply for the entire abstract. The annotation data are formatted as json files. Please refer to the following page for a more detailed description of the json format http://www.pubannotation.org/docs/annotation-format/.20mmanani1s2023-11-29Released
LODQA 0Michel Dumontiermicheldumontier2015-02-20Testing
dailymed_spl Annotation of indications from DailyMed structured product labels0micheldumontier2023-11-29Developing
BioNLP16_Messiy 6.5 KMessiy2023-11-29Testing
BioNLP16_DUT 6.5 KMessiy2023-11-29Testing
Epistemic_Statements The goal of this work is to identify epistemic statements in the scientific literature. An epistemic statement is a statement of unknowns, hypotheses, speculations, uncertainties, including statements of claims, hypotheses, questions, explanations, future opportunities, surprises, issues, or concerns within a sentence. The unit of an epistemic statement is a sentence automatically parsed. The classification is binary - epistemic statement or not. We will label epistemic statements only and one can assume that if a statement is not labeled, then it is not an epistemic statement. The classifier is a CRF, trained on gold standard annotations of epistemic statements that are currently ongoing. We report an F-measure of 0.91 after 5-fold cross validation on a test set with 914 statements and an F-measure of 0.9 on a held out document with 130 statements. This project is still under development and is submitted to be used for the CovidLit project and associated Hackathon. Please contact Mayla if you have any questions.1.42 Mmboguslav2023-11-24Developing
maxiaofeng52_800 273maxiaofeng522024-08-26
maxiaofeng52_800_3 3.35 Kmaxiaofeng522024-09-22
silkworm 9.87 KMasakazu SAGA2023-11-29Testing
biosemtest test submitting Peregrine annotations35.6 KMark Thompsonmarkthompson2023-11-29Testing
NameT# Ann.AuthorMaintainer Updated_atStatus

221-240 / 590 show all
NEUROSES 2.14 Mnestoralvaro2023-11-24Beta
BLAH2015_Annotations_test_5 1.34 Knestoralvaronestoralvaro2023-11-30Testing
BLAH2015_Annotations_Adderall 0nestoralvaronestoralvaro2023-11-29Testing
Text-Annotation 02022-01-17
bayaba 7Nakyolee2023-11-29
Nalee 1Nakyolee2023-11-28
NAKLEE 0Nakyolee2017-07-13
Test190926 0Takeru Nakazatonakazato2023-11-29Testing
nakashima 0nakashima2023-11-29Testing
RDoCTask2SampleData 10mmanani1s2023-11-29Released
RDoCTask1SampleData 20mmanani1s2023-11-29Released
LODQA 0Michel Dumontiermicheldumontier2015-02-20Testing
dailymed_spl 0micheldumontier2023-11-29Developing
BioNLP16_Messiy 6.5 KMessiy2023-11-29Testing
BioNLP16_DUT 6.5 KMessiy2023-11-29Testing
Epistemic_Statements 1.42 Mmboguslav2023-11-24Developing
maxiaofeng52_800 273maxiaofeng522024-08-26
maxiaofeng52_800_3 3.35 Kmaxiaofeng522024-09-22
silkworm 9.87 KMasakazu SAGA2023-11-29Testing
biosemtest 35.6 KMark Thompsonmarkthompson2023-11-29Testing