Low-Rank Approximation of Matrices for PMI-based Word Embeddings
Table 3: Main and Interaction Effects in the Similarity task
['Source', 'DF', 'Sum of Squares', 'Mean Square', 'F Value', 'Pr > F']
Proceeding with analysis of main and interaction effects, one can conduct F-test for each of the factors and the interaction between them. The dimensionality of word vectors has no effect on the performance in the similarity task, F=0.06 with p-value>0.8. Also, there is no interaction between the method of factorization and the dimensionality of word vectors, F=3.01 with p-value 0.0945. Thus, SVD significantly outperforms the other factorization methods.