A Simple but Effective Classification Model for Grammatical Error Correction
Table 3: Results of our model, in comparison with the best classifier CUUI (A) in CoNLL-2014 and the deep context model (B). The last column means the difference with the previous highest score. Again the data is the combination of two annotators without alternative answers in CoNLL-2014.
['[BOLD] Error Type', '[BOLD] A', '[BOLD] B', '[BOLD] Ours', '+/−']
The deep context model uses only the wiki dump data and the base form of the target noun word as extra context information, without attention. Our model achieves the highest F0.5 scores for all the error types except the preposition one that has a small performance degradation.