TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags (2023)
- Authors:
- Autor USP: LIANG, ZHAO - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1109/TASLP.2022.3221009
- Subjects: DESIGNS (CONFIGURAÇÕES COMBINATÓRIAS); ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES; PROCESSAMENTO DE LINGUAGEM NATURAL
- Keywords: Discontinuous named entity recognition; grid-tagging; tagging-oriented enhancement
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: IEEE/ACM Transactions on Audio, Speech, and Language Processing
- ISSN: 2329-9290
- Volume/Número/Paginação/Ano: v. 31, p. 177-187, 2023
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LIU, Jiang et al. TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags. IEEE/ACM Transactions on Audio, Speech, and Language Processing, v. 31, p. 177-187, 2023Tradução . . Disponível em: https://doi.org/10.1109/TASLP.2022.3221009. Acesso em: 06 fev. 2026. -
APA
Liu, J., Ji, D., Li, J., Xie, D., Teng, C., Zhao, L., & Li, F. (2023). TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 31, 177-187. doi:10.1109/TASLP.2022.3221009 -
NLM
Liu J, Ji D, Li J, Xie D, Teng C, Zhao L, Li F. TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags [Internet]. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2023 ; 31 177-187.[citado 2026 fev. 06 ] Available from: https://doi.org/10.1109/TASLP.2022.3221009 -
Vancouver
Liu J, Ji D, Li J, Xie D, Teng C, Zhao L, Li F. TOE:: a grid-tagging discontinuous ner model enhanced by embedding tag/word relations and more fine-grained tags [Internet]. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2023 ; 31 177-187.[citado 2026 fev. 06 ] Available from: https://doi.org/10.1109/TASLP.2022.3221009 - Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
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Informações sobre o DOI: 10.1109/TASLP.2022.3221009 (Fonte: oaDOI API)
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