Tool: Named Entity Recognizer
| dc.contributor.author | Güngör, Onur | |
| dc.contributor.author | Uskudarli, Susan | |
| dc.contributor.author | Güngör, Tunga | |
| dc.date.accessioned | 2023-03-03T22:22:48Z | |
| dc.date.available | 2023-03-03T22:22:48Z | |
| dc.date.issued | 2018-07-17 | |
| 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.description.sponsorship | Boğaziçi University, 13083, Research Fund, ownFunds | |
| dc.identifier.uri | https://tulap.cmpe.boun.edu.tr/handle/20.500.12913/80 | |
| 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 | |
| dspace.entity.type | Tool | |
| local.contact.person | Onur, Güngör, onurgu@boun.edu.tr, Boğaziçi University | |
| local.demo.uri | https://tulap.cmpe.boun.edu.tr/demo/ner |