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Tense Reinflection on tense reinflection without auxiliary do inductive bias

-5.441Full Accuracy Log RatioStack RNN
-5.57392-4.67671-3.7795-2.88229Nov 5, 2025

Evaluation results

MethodLinks
Stack RNN2025.11-5.441-3.642
RNN2025.11-4.918-3.494
RNN+Sup2025.11-4.834-3.716
RNN+Nd+R2025.11-4.608-3.061
Tf+Nd+Nd2025.11-4.443-4.457
LSTM+Sup2025.11-4.348-3.843
LSTM+Nd+R2025.11-4.24-2.978
Stack Attention Transformer2025.11-4.027-3.927
LSTM2025.11-3.962-3.128
LSTM+Sup+R2025.11-3.949-3.696
Tf+Sup2025.11-3.628-3.392
Tf+Sup+Sup2025.11-3.126-3.054
TfGround-truth parse trees=true2025.11-2.814-2.766
Stack LSTM2025.11-2.273-1.926
RNN+Sup+R2025.11-2.118-0.765