Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems
Table 5: MRR results for human evaluated correct test sets. The combined correct list set, as expected, leads to the highest MRR value achieved by our method. The intersection set still leads to a high value. Both MRR values are higher than the lower bound MRR achieved by the BiLSTM model, compared to only one corrected option.
['[BOLD] Correct list set', '[BOLD] MRR']
Thus far we computed the lower bound MRR, with a strict evaluation policy, where only one possible correction was used for the MRR computation.