Improve Lexicon-based Word Embeddings By Word Sense Disambiguation
TABLE II: Comparison of the Spearman’s rank correlations ρ×100 with human assigned similarity in WordSim353 dataset.
['[EMPTY]', 'WordSim353', 'Polysemous WordSim353', 'SCWS']
With the WSD filter, the proposed model achieves the best performance in the word similarity task. For the dataset that contains only polysemous words, the improvement by WSD filter is more significant.