| model,13-5-P05-1056,ak | lower <term> error rate </term> than the <term> | HMM and Maxent models | </term> on the <term> NIST sentence boundary | #9546 In general, our CRF model yields a lower error rate than the HMM and Maxent 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. |
