In general , our CRF model yields a lower [[ error rate ]] than the << HMM and Max-ent models >> on the NIST sentence boundary detection task in speech , although it is interesting to note that the best results are achieved by three-way voting among the classifiers .
This example is EVALUATE-FOR.