The naïve Bayes model was found to be the most accurate classifier in a comparative study using a subset of Senseval-2 English lexical sample data by Yarowsky and Florian (2002).
the maximum entropy (Jaynes, 1978) was found to yield higher accuracy than naïve Bayes in a subsequent comparison by Klein and Manning (2002), who used a different subset of either Senseval-1 or Senseval-2 English lexical sample data.