TKDP: threefold knowledge-enriched deep prompt tuning for few-shot named entity recognition (2024)
- Authors:
- Autor USP: LIANG, ZHAO - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1109/TKDE.2024.3389650
- Subjects: CIÊNCIA DA COMPUTAÇÃO; PROCESSAMENTO DE LINGUAGEM NATURAL; LINGUAGEM DE MÁQUINA
- Keywords: Few-shot learning; HowNet; Named entity recognition (NER); Prompt tuning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway
- Date published: 2024
- Source:
- Título: IEEE Transactions on Knowledge and Data Engineering
- ISSN: 1041-4347
- Volume/Número/Paginação/Ano: v. 36, n. 11, p. 6397-6409, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LIU, Jiang et al. TKDP: threefold knowledge-enriched deep prompt tuning for few-shot named entity recognition. IEEE Transactions on Knowledge and Data Engineering, v. 36, n. 11, p. 6397-6409, 2024Tradução . . Disponível em: https://doi.org/10.1109/TKDE.2024.3389650. Acesso em: 30 jan. 2026. -
APA
Liu, J., Fei, H., Li, F., Li, J., Li, B., Liang, Z., et al. (2024). TKDP: threefold knowledge-enriched deep prompt tuning for few-shot named entity recognition. IEEE Transactions on Knowledge and Data Engineering, 36( 11), 6397-6409. doi:10.1109/TKDE.2024.3389650 -
NLM
Liu J, Fei H, Li F, Li J, Li B, Liang Z, Teng C, Ji D. TKDP: threefold knowledge-enriched deep prompt tuning for few-shot named entity recognition [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2024 ; 36( 11): 6397-6409.[citado 2026 jan. 30 ] Available from: https://doi.org/10.1109/TKDE.2024.3389650 -
Vancouver
Liu J, Fei H, Li F, Li J, Li B, Liang Z, Teng C, Ji D. TKDP: threefold knowledge-enriched deep prompt tuning for few-shot named entity recognition [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2024 ; 36( 11): 6397-6409.[citado 2026 jan. 30 ] Available from: https://doi.org/10.1109/TKDE.2024.3389650 - Fractal color image compression
- Network-based stochastic semisupervised learning
- Imputation of missing data supported by complete p-partite attribute-based decision graphs
- K-associated optimal network for graph embedding dimensionality reduction
- Chaotic synchronization for scene segmentation
- Musical scales recognition via deterministic walk in a graph
- Phase-noise-induced resonance in arrays of coupled excitable neural models
- Uncovering overlapping structures via stochastic competitive learning
- Selecting nodes with inhomogeneous centrality profile for labeling for network-based semi-supervised learning
- A scheme for high level data classification using random walk and network measures
Informações sobre o DOI: 10.1109/TKDE.2024.3389650 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
003225672.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
