Probabilistic FastText for Multi-Sense Word Embeddings
Table 4: Word similarity evaluation on foreign languages.
['Lang.', 'Evaluation', 'FastText', 'w2g', 'w2gm', 'pft-g', 'pft-gm']
We outperform FastText on many word similarity benchmarks. Our results are also significantly better than the dictionary-based models, w2g and w2gm. We hypothesize that w2g and w2gm can perform better than the current reported results given proper pre-processing of words due to special characters such as accents.