The candidate word that is not similar to others does not have similar cooccurrence information to other words in the training corpus, and thus this word should be far away from other words in the word embedding space.
we first calculate a group of mean vectors m iw 1 ,••• ,iw N of all the candidate words with any possible word senses as below , where T is the set of candidate words, N is the capacity of T , w j is a word in T ; is the index for the word senses of w j , and is the number of word senses of w j .