Concept information
Preferred term
Feature2Vec
Definition
- "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).
Broader concept
Belongs to group
Bibliographic citation(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
[Study type: software description / Access: open]
Creator
- Frank Arnould
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/P66-MXRNPMNB-3
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