Table 11: Evaluation results of various n-gram models for the second step of two-step classification framework: gold standard test set experiments It is evident from the results obtained through different experimental setups that temporal classifier, in general, performs remarkably well while we deal only with two classes, namely temporal and atemporal.
distribution of seed words among the various temporal classes is important in order to ensure that temporal classifier is not biased to any particular class.