The hyper-parameter 0 ≤ e ≤ 1 is used to control the strength of the GPU reinforcement as well as the number of the extended meanings.
if we set e = 0, the second sample for the extended meanings has been turned off, and then FCSE-2 degrades to the SG+ model in (Li and Jurafsky, 2015), which is another state-of-theart method for multi-prototype word embedding model based on hard clustering.