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Table 3: 
Test performance. NC-v11 represents training only with the NC-v11 data, while Full means using the full training data. * represents significant (Koehn, 2004) result (p < 0.01) over Seq2seq. ↓ indicates the lower the better.
SystemNC-v11Full
BLEUTER↓MeteorBLEUTER↓Meteor
OpenNMT-tf 15.1 0.6902 0.3040 24.3 0.5567 0.4225 
Transformer-tf 17.1 0.6647 0.3578 25.1 0.5537 0.4344 
Seq2seq 16.0 0.6695 0.3379 23.7 0.5590 0.4258 
Dual2seq-LinAMR 17.3 0.6530 0.3612 24.0 0.5643 0.4246 
Duel2seq-SRL 17.2 0.6591 0.3644 23.8 0.5626 0.4223 
Dual2seq-Dep 17.8 0.6516 0.3673 25.0 0.5538 0.4328 
Dual2seq 19.2* 0.6305 0.3840 25.5* 0.5480 0.4376 
SystemNC-v11Full
BLEUTER↓MeteorBLEUTER↓Meteor
OpenNMT-tf 15.1 0.6902 0.3040 24.3 0.5567 0.4225 
Transformer-tf 17.1 0.6647 0.3578 25.1 0.5537 0.4344 
Seq2seq 16.0 0.6695 0.3379 23.7 0.5590 0.4258 
Dual2seq-LinAMR 17.3 0.6530 0.3612 24.0 0.5643 0.4246 
Duel2seq-SRL 17.2 0.6591 0.3644 23.8 0.5626 0.4223 
Dual2seq-Dep 17.8 0.6516 0.3673 25.0 0.5538 0.4328 
Dual2seq 19.2* 0.6305 0.3840 25.5* 0.5480 0.4376 
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