Learning Multilingual Word Embeddings inLatent Metric Space: A Geometric Approach
Table 4: Pearson correlation coefficient for the SemEval 2017 cross-lingual word similarity task.
['[BOLD] Method', '[BOLD] en-es', '[BOLD] en-de', '[BOLD] en-it']
We observe that GeoMM performs better than Procrustes, MSF, and the SemEval 2017 baseline NASARI It should be noted that NASARI and luminoso_run2 use additional knowledge sources like BabelNet and ConceptNet.