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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
End to End Models method developedFor Streaming Setting otherentity 42599.0
End to End Models method enhancedBy Dialogue Rollouts method 32708.0
End to End Models method improvesBy BLEU metric 38007.0
End to End Models method isBasedOn Conformer method 20674.0
End to End Models method isBasedOn Transformer method 20674.0
End to End Models method measuredBy Accuracy metric 42599.0
End to End Models method measuredBy Consistency metric 42599.0
End to End Models method measuredBy Latency metric 42599.0
End to End Models method measuredBy Translation Quality metric 42599.0
End to End Models method uses Joint Training method 37316.0
End to End Neural Architecture method achieves Language Understanding Score metric 38340.0
End to End Neural Architecture method achieves Response Appropriateness Score metric 38340.0
End to End Neural Architecture method achieves Success Rate metric 38340.0
End to End Neural Machine Translation method dependsOn Parallel Corpora material 40309.0
End to End Neural Machine Translation method leverages Monolingual Corpora material 40309.0
End to End Neural Machine Translation method outperforms Statistical Machine Translation method 40309.0
End to End Pipeline task achieves F1 Score metric 25170.0
End to End Pipeline task evaluatedIn Final Test Data material 25170.0
End to End Pragmatic Training method appliesTo Reference Game Data material 39898.0
End to End Pragmatic Training method creates Utterance Interpretation Model otherentity 39898.0