Improving Cross-Domain Chinese Word Segmentation with Word Embeddings
Table 4: F-measures of WEB-CWS with different subsampling and negative sampling methods.
['Model', 'DL (%)', 'FR (%)', 'DM (%)']
In ablation experiments, we study the influence of two CWS-oriented negative sampling and multi-character words subsampling. When CWS-oriented negative sampling is applied alone, either context (‘c_n’) or in-word (‘w_n’) negative sampling, the performance of WEB-CWS is obviously better than or similar to that of the baseline segmenter. When both CWS-oriented negative sampling methods are applied together (‘c_w_n’), WEB-CWS is ensured to obviously outperform the baseline segmenter. Also, when multi-character subsampling (‘m_s’) is applied, the performance of WEB-CWS can further improve a little.