Morphosyntactic Tagging with a Meta-BiLSTM Modelover Context Sensitive Token Encodings
Table 7: F1 score for the character, word and meta models. The standard deviation of 10 random restarts of each model is show in the last three columns. The differences in means are all statistically significant at p<0.001 (paired t-test).
['[BOLD] dev. set  [BOLD] lang.', 'num. exp.', 'mean char', 'mean word', 'mean meta', 'stdev char', 'stdev word', 'stdev meta']
The examples show that the combined model has significantly higher accuracy compared with either the character and word models individually.