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Deep Active Learning Approaches to the task of Named Entity..:
Silva Neto, José Reinaldo da Cunha Santos Aroso Vieira da
SILVA NETO, José Reinaldo da Cunha S. A. V. da. Deep Active Learning Approaches to the task of Named Entity Recognition. 2021. 83 f., il. Dissertação (Mestrado em Informática)—Universidade de Brasília, Brasília, 2021.. , 2022
Link:
https://repositorio.unb.br/handle/10482/42729
RT Journal T1
Deep Active Learning Approaches to the task of Named Entity Recognition
UL https://suche.suub.uni-bremen.de/peid=base-ftunivbrasilia:oai:repositorio.unb.br:10482_42729&Exemplar=1&LAN=DE A1 Silva Neto, José Reinaldo da Cunha Santos Aroso Vieira da YR 2022 K1 Aprendizagem ativa K1 Auto-aprendizagem K1 Classificação sequencial K1 Redes neurais profundas K1 Reconhecimento de entidades nomeadas JF SILVA NETO, José Reinaldo da Cunha S. A. V. da. Deep Active Learning Approaches to the task of Named Entity Recognition. 2021. 83 f., il. Dissertação (Mestrado em Informática)—Universidade de Brasília, Brasília, 2021. LK http://dx.doi.org/https://repositorio.unb.br/handle/10482/42729 DO https://repositorio.unb.br/handle/10482/42729 SF ELIB - SuUB Bremen
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