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Sequence Encoders Enable Large-Scale Lexical Modeling: Reply to Bowers and Davis (2009)
Sibley, Kello, Plaut, and Elman (2008) proposed the sequence encoder as a model that learns fixed-width distributed representations of variable-length sequences. In doing so, the sequence encoder overcomes problems that have restricted models of word reading and recognition to processing only monosy...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2746651/ https://ncbi.nlm.nih.gov/pubmed/20046958 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1551-6709.2009.01064.x |
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