Among semi-automatic methods, rule-based methods are known for high accuracy if the patterns are carefully chosen according to morphological structure or special format of corpus (Nakayama et al., 2008), either manually or via automatic bootstrapping (Hearst, 1992).
the methods suffer from sparse coverage of patterns in a given corpus.