The impact of this misleading information is made apparent by the amount of FP observed in classification results.
silence has to do with the well known problem of data sparsity, which can be caused by the particular distribution of lexical, and thus strict, though informative, contexts used in cue-based classification tasks, which are often rare in any corpus of any size due to their specificity.