All Relationships

Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
MENYO 20k material comparesWith Facebook M2M otherentity 18381.0
MENYO 20k material comparesWith Google otherentity 18381.0
MERT method comparesWith BLEU metric 34745.0
MERT method comparesWith Minimum Risk Training method 28284.0
MERT method comparesWith N Best Rescoring method 27391.0
MERT method isA Parameter Tuning task 34324.0
MERT method optimizes MT Model method 23793.0
MERT method optimizes Tuning Dataset material 42119.0
MERT method usedFor Parameter Optimization task 6056.0
MERT method uses Gain Function metric 28246.0
MERT Procedure method optimizes Statistical Machine Translation method 28240.0
MERT Tuning method evaluatedBy BLEU metric 27881.0
MET 2 material evaluates F-Measure metric 18353.0
MET 2 material evaluates Precision metric 18353.0
MET 2 material evaluates Recall metric 18353.0
MET 2 Test Corpus material evaluatedIn Named Entity Recognition task 6655.0
MET Data material usedIn Chinese Organization Names otherentity 35253.0
MET Data material usedIn Location names otherentity 35253.0
MET Data material usedIn Person Names material 35253.0
META DARE material studies Extraction Rules method 29221.0