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Data · dataset · 2014

Disease Mention Annotation with Mechanical Turk

Listed in DataCite

Data from a study on using the AMT to annotate disease in PubMed abstracts.

Links

Where it is published

Documentation and papers

Catalogue records · 2

Topics

Stated by source
Computer and information sciences · Languages and literature · Media and communications
Inferred from text
Disease 75%

Related

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.1126402.v114 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
byte_sizesource · DataCiteconnector:datacite@1.0.0
concepts[disease].local:disease:diseaseenrichment · DataCitekeyword-concept-rules@1.0.0title+description (75%)
concepts[field].fos:computer-and-information-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:languages-and-literaturesource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:media-and-communicationssource · DataCiteconnector:datacite@1.0.0
created_datesource · DataCiteconnector:datacite@1.0.0
descriptionsource · DataCiteconnector:datacite@1.0.0/data/attributes/descriptions
licensesource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
publication_datesource · DataCiteconnector:datacite@1.0.0/data/attributes/dates
titlesource · DataCiteconnector:datacite@1.0.0/data/attributes/titles/0/title
updated_datesource · DataCiteconnector:datacite@1.0.0