Identification of brazilian portuguese causative verbs through a weighted graph classification strategy (2014)
- Authors:
- Autor USP: LOPES, ALNEU DE ANDRADE - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-319-09761-9_32
- Subjects: INTELIGÊNCIA ARTIFICIAL; PROCESSAMENTO DE LINGUAGEM NATURAL
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 8775, p. 274-279, 2014
- Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
DRURY, Brett e ROSSI, Rafael Geraldeli e LOPES, Alneu de Andrade. Identification of brazilian portuguese causative verbs through a weighted graph classification strategy. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-09761-9_32. Acesso em: 26 abr. 2024. , 2014 -
APA
Drury, B., Rossi, R. G., & Lopes, A. de A. (2014). Identification of brazilian portuguese causative verbs through a weighted graph classification strategy. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-319-09761-9_32 -
NLM
Drury B, Rossi RG, Lopes A de A. Identification of brazilian portuguese causative verbs through a weighted graph classification strategy [Internet]. Lecture Notes in Artificial Intelligence. 2014 ; 8775 274-279.[citado 2024 abr. 26 ] Available from: https://doi.org/10.1007/978-3-319-09761-9_32 -
Vancouver
Drury B, Rossi RG, Lopes A de A. Identification of brazilian portuguese causative verbs through a weighted graph classification strategy [Internet]. Lecture Notes in Artificial Intelligence. 2014 ; 8775 274-279.[citado 2024 abr. 26 ] Available from: https://doi.org/10.1007/978-3-319-09761-9_32 - Efficient identification of duplicate bibliographical references
- Information extraction from tagged bibliographical references
- A graph-based bagging
- An open source tool for crowd-sourcing the manual annotation of texts
- Link prediction in graph construction for supervised and semi-supervised learning
- Exploring data classification with k-associated network
- Bipartite graph for topic extraction
- Structural link prediction using community information on Twitter
- Graph-based cross-validated committees ensembles
- Data visualization and relevance feedback applied to information retrieval
Informações sobre o DOI: 10.1007/978-3-319-09761-9_32 (Fonte: oaDOI API)
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