The results of the recent Senseval-3 competition (Mihalcea et al., 2004) have shown that supervised WSD methods can yield up to 72.9% accuracy 1 on words for which manually sense-tagged data are available.
supervised methods suffer from the so-called knowledge acquisition bottleneck: they need large quantities of high quality annotated data to produce reliable results.