The goal of sequence labeling is to assign labels to all elements in a sequence, which can be handled with supervised learning algorithms such as Maximum Entropy (ME) (Berger et al., 1996) and Conditional Random Fields (CRF) (Lafferty et al., 2001).
currently most of state-of-the-art methods for chinese word segmentation are based on supervised learning, whose features are mostly extracted from a local context.