Concept information
Terme préférentiel
Feature2Vec
Définition
- "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).
Concept générique
Appartient au groupe
Référence(s) bibliographique(s)
-
• Derby, S., Miller, P., & Devereux, B. (2019). Feature2Vec: Distributional semantic modelling of human property knowledge (arXiv:1908.11439). arXiv. https://doi.org/10.48550/arXiv.1908.11439
• Document type: software description
• Access: open
Créateur
- Frank Arnould
Traductions
-
français
URI
http://data.loterre.fr/ark:/67375/P66-MXRNPMNB-3
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