Biologically plausible connectionist prediction of natural language thematic relations (2010)
- Authors:
- Autor USP: ROSA, JOÃO LUIS GARCIA - ICMC
- Unidade: ICMC
- DOI: 10.3217/jucs-016-21-3245
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Graz University of Technology
- Publisher place: Graz
- Date published: 2010
- Source:
- Título do periódico: Journal of Universal Computer Science
- ISSN: 0948-695X
- Volume/Número/Paginação/Ano: v. 16, n. 21, p. 3245-3277, 2010
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ROSA, João Luis Garcia; ADÁN-COELHO, Juan Manuel. Biologically plausible connectionist prediction of natural language thematic relations. Journal of Universal Computer Science, Graz, Graz University of Technology, v. 16, n. 21, p. 3245-3277, 2010. Disponível em: < http://dx.doi.org/10.3217/jucs-016-21-3245 > DOI: 10.3217/jucs-016-21-3245. -
APA
Rosa, J. L. G., & Adán-Coelho, J. M. (2010). Biologically plausible connectionist prediction of natural language thematic relations. Journal of Universal Computer Science, 16( 21), 3245-3277. doi:10.3217/jucs-016-21-3245 -
NLM
Rosa JLG, Adán-Coelho JM. Biologically plausible connectionist prediction of natural language thematic relations [Internet]. Journal of Universal Computer Science. 2010 ; 16( 21): 3245-3277.Available from: http://dx.doi.org/10.3217/jucs-016-21-3245 -
Vancouver
Rosa JLG, Adán-Coelho JM. Biologically plausible connectionist prediction of natural language thematic relations [Internet]. Journal of Universal Computer Science. 2010 ; 16( 21): 3245-3277.Available from: http://dx.doi.org/10.3217/jucs-016-21-3245 - Sendo uma área multidisciplinar, a Inteligência Artificial... [Prefácio]
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Informações sobre o DOI: 10.3217/jucs-016-21-3245 (Fonte: oaDOI API)
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