Improving Cross-Domain Chinese Word Segmentation with Word Embeddings
Table 2: Hyperparameters used in WEB-CWS.
['H-param', 'Explanation', 'Value']
4.1.3 Mikolov et al. However, in our model, we find that, for each target word, drawing one negative sample from a noise distribution is good enough, which may be caused by the large amount of negative samples generated by context and in-word negative sampling. et al. But in WEB-CWS, using the uniform distribution leads to better segmentation results.