Improve Lexicon-based Word Embeddings By Word Sense Disambiguation
TABLE IV: Comparison of the rank correlation score on WordSim353 with the other works that uses lexicons to improve the single-prototype word embeddings on the basis of word2vec.
['[EMPTY]', 'WordSim353', 'Word Analogy Semantic', 'Word Analogy Syntactic']
We can see that our proposed model outperforms the others. With WSD filter, our proposed model achieves the best performance in the two tasks.