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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
Global Neural Generation method uses Document Memory Store otherentity 39020.0
Global Node otherentity enhances Attention Based Graph Neural Network method 5615.0
Global Node Encoding method comparesWith Local Node Encoding method 26919.0
Global Normalization method improves Convolutional Neural Networks method 32866.0
Global Optimization Method under Length Constraint method comparesWith Mainichi material 39861.0
Global Optimization Method under Length Constraint method comparesWith Maximum Log Likelihood method 39861.0
Global Optimization Method under Length Constraint method comparesWith Minimum Risk Training method 39861.0
Global Optimization Method under Length Constraint method evaluatedIn ROUGE metric 39861.0
Global Optimizer otherentity optimizes Disambiguation task 40959.0
Global Predictor method employs Stacking method 34947.0
Global Random Walk method enhances Graph Attention Networks method 34068.0
Global Reordering task solvedBy Chart Parsing method 44342.0
Global Reordering Model method appliesTo Japanese English Translation Task task 6467.0
Global Reordering Model method improves Translation Accuracy metric 6467.0
Global Reordering Model method uses Bilingual Phrase Clustering method 6467.0
Global Reordering Model method uses Phrase Alignments material 6467.0
Global Rescoring Approach method improves Multi Hop Reading Comprehension task 37057.0
Global Rescoring Approach method provides Explainable Evidence otherentity 37057.0
Global Role Sequence Candidate Generator method implementedBy Maximum Entropy Classifiers method 42251.0
Global Role Sequence Candidate Generator method isBasedOn CKY Algorithm method 42251.0