Count-based and prediction-based methods are not fundamentally different, as both exploit the co-occurrence matrix
Evidence
GloVe: Global Vectors for Word Representation (Stanford NLP Group)
Categorization
- corroborated: 2 independent passages support this claim
- XREF: connects to: Training word vectors solely to predict context words yields powerful meaning representations; Context-predicting models obtain a thorough and resounding victory against count-based counterparts — Glove: Global Vectors for Word Representation