Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding
Table 6: The SRCC performance comparison (×100) for SGNS alone and SGNS+PVN/PDE model against word similarity and analogy datasets.
['Type', 'SGNS', 'PVN(ours)']
Better results are obtained across all datasets. The improvement over the Verb-143 dataset has a high ranking among all datasets with either joint PVN/PDE or PDE alone. This matches our expectation since the context order has more contribution over verbs.