Concept information
Término preferido
Feature2Vec
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Definición
- "a computational framework that combines information from human-elicited property knowledge and information from distributional word embeddings, allowing us to exploit the strengths and advantages of both approaches. Feature2Vec maps human property norms onto a pretrained vector space model of word meaning. The embedding of feature-based information in the pretrained embedding space makes it possible to rank the relevance of features using cosine similarity" (Derby et al., 2019).
Concepto genérico
Pertenece al grupo
Creador
- Frank Arnould
En otras lenguas
-
francés
URI
http://data.loterre.fr/ark:/67375/P66-MXRNPMNB-3
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