Graph-based methods for multi-document summarization: exploring relationship maps, complex networks and discourse information (2012)
- Authors:
- Autor USP: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-28885-2_30
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Berlin
- Date published: 2012
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 7243, p. 260-271, 2012
- Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
RIBALDO, Rafael et al. Graph-based methods for multi-document summarization: exploring relationship maps, complex networks and discourse information. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-28885-2_30. Acesso em: 13 fev. 2026. , 2012 -
APA
Ribaldo, R., Akabane, A. T., Rino, L. H. M., & Pardo, T. A. S. (2012). Graph-based methods for multi-document summarization: exploring relationship maps, complex networks and discourse information. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-28885-2_30 -
NLM
Ribaldo R, Akabane AT, Rino LHM, Pardo TAS. Graph-based methods for multi-document summarization: exploring relationship maps, complex networks and discourse information [Internet]. Lecture Notes in Computer Science. 2012 ; 7243 260-271.[citado 2026 fev. 13 ] Available from: https://doi.org/10.1007/978-3-642-28885-2_30 -
Vancouver
Ribaldo R, Akabane AT, Rino LHM, Pardo TAS. Graph-based methods for multi-document summarization: exploring relationship maps, complex networks and discourse information [Internet]. Lecture Notes in Computer Science. 2012 ; 7243 260-271.[citado 2026 fev. 13 ] Available from: https://doi.org/10.1007/978-3-642-28885-2_30 - Clustering and hierarchical organization of opinion aspects: a corpus study
- Improving content selection for update summarization with subtopic-enriched sentence ranking functions
- Update summarization for portuguese
- Rearrangement and creation of new corpora for update and compressive summarization tasks for portuguese language
- Semi-supervised never-ending learning in rhetorical relation identification
- Update summarization: building from scratch for Portuguese and comparing to English
- Hierarchical clustering of aspects for opinion mining: a corpus study
- Multi-document summarization using semantic discourse models
- Estratégias de seleção de conteúdo com base na CST (cross-document structure theory) para sumarização automática multidocumento
- Identifying multidocument relations
Informações sobre o DOI: 10.1007/978-3-642-28885-2_30 (Fonte: oaDOI API)
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