We map the confidence value of each classifier into the range of 0 to 1 with sigmoid function 7 , and select a tag sequence which maximizes the sum of those log values by Viterbi search.
most of these previous works manually selected combination of features except for SVm with polynomial kernel and (Kudo and matsumoto, 2001) a boosting-based re-ranking (Kudo et al., 2005).