Undesirable consequences of this fact have been termed `` label bias '' ( Lafferty et al. , 2001 ) .
conditional random fields probabilistic models for segmenting and labeling sequence data
J Lafferty A McCallum F Pereira
Unfortunately , the result may differ for equivalent FSTs that express the same weighted relation . Undesirable consequences of this fact have been termed `` label bias '' ( Lafferty et al. , 2001 ) . Also , in the conditional case such per-state normalization is only correct if all states accept all input suffixes ( since `` dead ends '' leak probability mass ) .8 â¢ A better-founded approach is global normal -
Undesirable consequences of this fact have been termed `` label bias '' ( @@CITATION ) .