1 Introduction
Table 2: Performance of SGNS, GloVe, and Swivel vectors across different tasks with respect to methods tested by Levy et al. (2015), with CBOW is included for reference. Word similarity tasks report Spearman’s ρ with human annotation; analogy tasks report accuracy. In all cases, larger numbers indicate better performance.
['Method', 'WordSim Similarity', 'WordSim Relatedness', 'Bruni et\xa0al.  MEN', 'Radinsky et\xa0al.  M. Turk', 'Luong et\xa0al.  Rare Words', 'Hill et\xa0al.  SimLex', 'Google', 'MSR']
Results. Embeddings produced by word2vec’s CBOW are also included for reference. As can be seen, Swivel outperforms GloVe, SGNS, and CBOW on both the word similarity and analogy tasks. We also note that, except for the Google analogy task, SGNS outperforms GloVe.