Example for word vector representation computed by a feedforward neural network.
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Abstract
<p>The word vector representations estimate the influence of a word in the context of the semantic relationship expressed by the particular word vector. This matrix is a 2 × 4 matrix, representing a vocabulary size of 4 and vector dimensions (number of expected relationships) of 2. The word vector w<sub>1</sub> could represent the relationships “yield” and w<sub>2</sub> “lipid source” respectively.</p