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Unsupervised Overlapping Feature Selection for Conditional Random Fields Learning in Chinese Word Segmentation

Authors: nan

Publication: TIPSTER (2011)

DOI: nan

This work represents several unsupervised feature selections based on frequent strings that help improve conditional random fields (CRF) model for Chinese word segmentation (CWS). These features include character-based N-gram (CNG), …...

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