Graph-based semi-supervised learning for semantic role diffusion (2016)
- Authors:
- USP affiliated authors: LIANG, ZHAO - FFCLRP ; ROSA, JOÃO LUIS GARCIA - ICMC
- Unidades: FFCLRP; ICMC
- Subjects: INTELIGÊNCIA ARTIFICIAL; APRENDIZADO COMPUTACIONAL; PROCESSAMENTO DE LINGUAGEM NATURAL
- Keywords: Graph-based SSL; Label Diffusion; PropBank-br; Semantic Role Labeling; Semi-supervised learning
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2016
- Source:
- Título do periódico: Proceedings
- Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe
-
ABNT
CARNEIRO, M. G e LIANG, Zhao e ROSA, João Luís Garcia. Graph-based semi-supervised learning for semantic role diffusion. 2016, Anais.. Porto Alegre: SBC, 2016. . Acesso em: 19 abr. 2024. -
APA
Carneiro, M. G., Liang, Z., & Rosa, J. L. G. (2016). Graph-based semi-supervised learning for semantic role diffusion. In Proceedings. Porto Alegre: SBC. -
NLM
Carneiro MG, Liang Z, Rosa JLG. Graph-based semi-supervised learning for semantic role diffusion. Proceedings. 2016 ;[citado 2024 abr. 19 ] -
Vancouver
Carneiro MG, Liang Z, Rosa JLG. Graph-based semi-supervised learning for semantic role diffusion. Proceedings. 2016 ;[citado 2024 abr. 19 ] - Improving semantic role labeling using high-level classification in complex networks
- Network-based data classification: combining k-associated optimal graphs and high-level prediction
- Classificação de alto nível utilizando grafo k-associados ótimo
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