Word sense disambiguation: a complex network approach (2018)
- Authors:
- USP affiliated authors: LOPES, ALNEU DE ANDRADE - ICMC ; AMANCIO, DIEGO RAPHAEL - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.ins.2018.02.047
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; REDES COMPLEXAS; RECONHECIMENTO DE TEXTO
- Keywords: Network science; Text classification; Bipartite graphs; Bipartite networks; Word sense disambiguation
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Information Sciences
- ISSN: 0020-0255
- Volume/Número/Paginação/Ano: v. 442-443, p. 103-113, May 2018
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
CORRÊA JUNIOR, Edilson A; LOPES, Alneu de Andrade; AMANCIO, Diego Raphael. Word sense disambiguation: a complex network approach. Information Sciences, New York, Elsevier, v. 442-443, p. 103-113, 2018. Disponível em: < http://dx.doi.org/10.1016/j.ins.2018.02.047 > DOI: 10.1016/j.ins.2018.02.047. -
APA
Corrêa Junior, E. A., Lopes, A. de A., & Amancio, D. R. (2018). Word sense disambiguation: a complex network approach. Information Sciences, 442-443, 103-113. doi:10.1016/j.ins.2018.02.047 -
NLM
Corrêa Junior EA, Lopes A de A, Amancio DR. Word sense disambiguation: a complex network approach [Internet]. Information Sciences. 2018 ; 442-443 103-113.Available from: http://dx.doi.org/10.1016/j.ins.2018.02.047 -
Vancouver
Corrêa Junior EA, Lopes A de A, Amancio DR. Word sense disambiguation: a complex network approach [Internet]. Information Sciences. 2018 ; 442-443 103-113.Available from: http://dx.doi.org/10.1016/j.ins.2018.02.047 - Recency predicts bursts in the evolution of author citations
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- Comparing the topological properties of real and artificially generated scientific manuscripts
- Network analysis of named entity co-occurrences in written texts
- Probing the topological properties of complex networks modeling short written texts
- Classificação de textos com redes complexas
- Labelled network subgraphs reveal stylistic subtleties in written texts
- Authorship recognition via fluctuation analysis of network topology and word intermittency
- Authorship attribution via network motifs identification
- Extractive multi document summarization using dynamical measurements of complex networks
Informações sobre o DOI: 10.1016/j.ins.2018.02.047 (Fonte: oaDOI API)
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