Learning Topic-Sensitive Word Representations
Table 2: Spearman’s rank correlation performance for the Word Similarity task on SCWS.
['Model', 'Dimension 100', 'Dimension 300', 'Dimension 600']
We see that with dimensions 100 and 300, two of our models obtain improvements over the baseline. The MSSG model of \newciteneelakantan2014efficient performs only slightly better than our HLTE model by requiring considerably more parameters (600 vs. 100 embedding size).