SWSM uses the distribution of word senses that appear near the target word in WSD to estimate the word senses assuming that the word senses of the local context are differentiated depending on the word sense of the target word.
sWsM estimates the word sense according to p(s|w), which is a conditional probability of a string of senses, s, given a string of words w. sWsM involves three assumptions.