MUSE: Modularizing Unsupervised Sense Embeddings
Table 2: Accuracy on synonym selection. † denotes superior performance to all unsupervised competitors.
['[BOLD] Method', '[BOLD] ESL-50', '[BOLD] RD-300', '[BOLD] TOEFL-80']
MUSE-Boltzmann also outperforms the supervised sense embeddings except 1 setting without any supervised signal during training. Finally, the MUSE methods with proper exploration outperform all unsupervised baselines consistently, demonstrating the importance of exploration.