Extractive multi document summarization using dynamical measurements of complex networks (2017)
- Authors:
- Autor USP: AMANCIO, DIEGO RAPHAEL - ICMC
- Unidade: ICMC
- DOI: 10.1109/BRACIS.2017.41
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; REDES COMPLEXAS; RECONHECIMENTO DE TEXTO
- Keywords: Automatic summarization; network measurements; sentence extraction
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2017
- Source:
- Título: Proceedings
- Volume/Número/Paginação/Ano: 978153862407
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
TOHALINO, Jorge Valverde e AMANCIO, Diego Raphael. Extractive multi document summarization using dynamical measurements of complex networks. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/BRACIS.2017.41. Acesso em: 14 fev. 2026. -
APA
Tohalino, J. V., & Amancio, D. R. (2017). Extractive multi document summarization using dynamical measurements of complex networks. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2017.41 -
NLM
Tohalino JV, Amancio DR. Extractive multi document summarization using dynamical measurements of complex networks [Internet]. Proceedings. 2017 ;[citado 2026 fev. 14 ] Available from: https://doi.org/10.1109/BRACIS.2017.41 -
Vancouver
Tohalino JV, Amancio DR. Extractive multi document summarization using dynamical measurements of complex networks [Internet]. Proceedings. 2017 ;[citado 2026 fev. 14 ] Available from: https://doi.org/10.1109/BRACIS.2017.41 - A complex network approach to stylometry
- Word sense induction using word embeddings and community detection in complex networks
- Authorship recognition via fluctuation analysis of network topology and word intermittency
- Comparing the topological properties of real and artificially generated scientific manuscripts
- A perspective on the advancement of natural language processing tasks via topological analysis of complex networks: comment on "Approaching human language with complex networks" by Cong and Liu. [Carta]
- Extractive multi-document summarization using multilayer networks
- Authorship attribution via network motifs identification
- Labelled network subgraphs reveal stylistic subtleties in written texts
- Classificação de textos com redes complexas
- Probing the topological properties of complex networks modeling short written texts
Informações sobre o DOI: 10.1109/BRACIS.2017.41 (Fonte: oaDOI API)
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