MasakhaNER: Named Entity Recognition for African Languages.
David Ifeoluwa AdelaniJade Z. AbbottGraham NeubigDaniel D'souzaJulia KreutzerConstantine LignosChester Palen-MichelHappy BuzaabaShruti RijhwaniSebastian RuderStephen MayhewIsrael Abebe AzimeShamsuddeen Hassan MuhammadChris Chinenye EmezueJoyce Nakatumba-NabendePerez OgayoAremu AnuoluwapoCatherine GitauDerguene MbayeJesujoba O. AlabiSeid Muhie YimamTajuddeen GwadabeIgnatius EzeaniRubungo Andre NiyongaboJonathan MukiibiVerrah OtiendeIroro OrifeDavis DavidSamba NgomTosin P. AdewumiPaul RaysonMofetoluwa AdeyemiGerald MuriukiEmmanuel AnebiChiamaka ChukwunekeNkiruka OduEric Peter WairagalaSamuel OyerindeClemencia SiroTobius Saul BateesaTemilola OloyedeYvonne WambuiVictor AkinodeDeborah NabagerekaMaurice KatusiimeAyodele AwokoyaMouhamadane MboupDibora GebreyohannesHenok TilayeKelechi NwaikeDegaga WoldeAbdoulaye FayeBlessing SibandaOrevaoghene AhiaBonaventure F. P. DossouKelechi OguejiThierno Ibrahima DiopAbdoulaye DialloAdewale AkinfaderinTendai MarengerekeSalomey OseiPublished in: CoRR (2021)
Keyphrases
- named entity recognition
- text summarization
- information extraction
- named entities
- natural language processing
- maximum entropy
- semi supervised
- conditional random fields
- hand coded
- relation extraction
- sequence labeling
- question answering
- maximum entropy classifier
- proper names
- pos taggers
- language independent
- classifier ensemble
- query expansion
- graphical models
- databases