| 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 |