Relationship: leadsTo

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Total Relationships: 118

Source Entity Source Type Relationship Target Entity Type
Domain Adaptive Pretraining method leadsTo Catastrophic Forgetting otherentity
E-commerce Language Pre-training method leadsTo Performance Boost metric
Emergent Protocol otherentity leadsTo Idiolects task
Emotion Triggers otherentity leadsTo Emotions otherentity
Empirical Comparison otherentity leadsTo State of the Art Performance metric
English Knowledge otherentity leadsTo Error Reduction metric
Error Type otherentity leadsTo Dialogue Breakdown task
Exposure Bias metric leadsTo Generation Quality metric
FeatureExtraction method leadsTo Classifier Building method
First Contact task leadsTo Interaction Improvement task
Fractional Positional Encoding method leadsTo Floating Point Operation Reduction metric
Fractional Positional Encoding method leadsTo Latency Improvements metric
Framing Effects otherentity leadsTo Polarized Language otherentity
Graph Neural Networks method leadsTo Multiplex Graph Convolutional Network method
Hebrew to English Transliteration method leadsTo Performance Improvement metric
High Level Observations otherentity leadsTo Performance Improvements metric
Human-Machine Interaction task leadsTo Miscommunication task
Imbalanced Dataset material leadsTo Word Sense Disambiguation task
Incorrect Labels otherentity leadsTo Errors metric
Information Extraction task leadsTo Noisy Training Data material