Exploring Segment Representations for Neural Segmentation Models
Table 6: Comparison with the state-of-the-art CWS systems.
['[ITALIC] genre', '[ITALIC] model', 'CTB6', 'PKU', 'MSR']
Our neural semi-CRF model with multi-level segment representation achieves the state-of-the-art performance on PKU and MSR data. On CTB6 data, our model’s performance is also close to \citeauthorwang-EtAl:2011: IJCNLP-2011 [\citeyearwang-EtAl:2011:IJCNLP-2011] which uses semi-supervised features extracted auto-segmented unlabeled data. According to \citeauthorpei-ge-chang:2014: P14-1 [\citeyearpei-ge-chang:2014: P14-1], significant improvements can be achieved by replacing character embeddings with character-bigram embeddings. However we didn’t employ this trick considering the unification of our model.