Exploring Segment Representations for Neural Segmentation Models
Table 4: Comparison between baselines and our neural semi-CRF model with segment embeddings.
['[ITALIC] model', 'CoNLL03', 'CTB6', 'PKU', 'MSR']
At last, we compare our neural semi-CRF model leveraging additional segment embeddings with those only represent segment by composing input. Style of segment embeddings (Homo or Hetero) and whether fine-tune it is decided by the development data. From this result, we see that segment-level representation greatly boost up model’s performance. On NER, an improvement of 0.7% is observed and that improvement on CWS is more than 2.0% on average.