One Representation per Word — Does it make Sense for Composition?
Table 6: Results on the 5-sense noun subtask with SensEmbed having access to Babelfy sense labels at test time.
['[BOLD] Noun - 5 Senses  [BOLD] Context Window Size', '[BOLD] Noun - 5 Senses  [BOLD] 1', '[BOLD] Noun - 5 Senses  [BOLD] 2', '[BOLD] Noun - 5 Senses  [BOLD] 4']
One possible explanation for SensEmbed not outperforming the other methods despite its cleaner encoding of different word senses in the above experiments is that at train time, it had access to sense labels from Babelfy. At test time on our task however, it did not have any sense labels available. We therefore sense tagged the 5-sense noun subtask with Babelfy and re-ran SensEmbed.