Auxiliary Objectives for Neural Error Detection Models

Benchmark Model Rank Results
grammatical-error-detection-on-conll-2014-a1Bi-LSTM + POS (trained on FCE)F0.5: 17.5
grammatical-error-detection-on-conll-2014-a1Bi-LSTM + POS (unrestricted data)F0.5: 36.1
grammatical-error-detection-on-conll-2014-a2Bi-LSTM + POS (trained on FCE)F0.5: 26.2
grammatical-error-detection-on-conll-2014-a2Bi-LSTM + POS (unrestricted data)F0.5: 45.1
grammatical-error-detection-on-fceBi-LSTM + err POS GRF0.5: 47.7