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dc.contributor.author Güngör, Onur
dc.contributor.author Uskudarli, Susan
dc.contributor.author Güngör, Tunga
dc.date.accessioned 2022-07-10T07:04:26Z
dc.date.available 2022-07-10T07:04:26Z
dc.date.issued 2018-07-17
dc.identifier.uri https://hdl.handle.net/20.500.12913/24
dc.description Named entity recognition is the process of determining the named entities in a sentence. Given a set of sentences, the named entity recognizer outputs the named entities (if any) in each sentence. There are three types of named entities: person (PER), location (LOC), and organization (ORG).
dc.language.iso Turkish
dc.publisher Boğaziçi University
dc.relation.isreferencedby https://aclanthology.org/C18-1177/
dc.source.uri https://github.com/BOUN-TABILab-TULAP/NER.git
dc.subject Named entities
dc.subject BIO format
dc.title Named Entity Recognizer
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
hidden false
hasMetadata false
has.files no
branding Community
demo.uri https://tulap.cmpe.boun.edu.tr/demo/ner
contact.person Onur Güngör onurgu@boun.edu.tr Boğaziçi University
sponsor Boğaziçi University 13083 Research Fund ownFunds
files.size 0
files.count 0


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