Example for word vector representation computed by a feedforward neural network.

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 w1 could represent the relationships “yield” and w2 “lipid source” respectively.