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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
Joint Approaches method evaluatedIn Standard Dataset material 19622.0
Joint Approaches method involves Joint Models method 19622.0
Joint Arc Factored Model method includes Semantic Role Labeler method 19980.0
Joint Architecture method appliesTo Dependency Parsing task 23134.0
Joint Architecture method appliesTo Multiword Expression Recognition task 23134.0
Joint Architecture method comparesWith Convolutional Neural Networks method 23507.0
Joint BPE method usedFor Sub-Entity Granularity otherentity 3966.0
Joint Bridging Training method appliesTo Event Argument Extraction task 42802.0
Joint Bridging Training method appliesTo Event Detection task 42802.0
Joint CTC/Attention Model method enhancedBy Data Augmentation method 1071.0
Joint CTC/Attention Model method evaluatedBy Character Error Rate metric 1071.0
Joint CTC/Attention Model method evaluatedBy Keyword Error Rate metric 1071.0
Joint Case method uses End to End Models method 42599.0
Joint Chinese Word Segmentation and Part of Speech Tagging task includes Chinese Word Segmentation task 29372.0
Joint Chinese Word Segmentation and Part of Speech Tagging task includes Part of Speech Tagging task 29372.0
Joint Classification task isBasedOn Sequence Classification task 36498.0
Joint Classification task reduces Classification Error metric 36498.0
Joint Classification task uses Constrained Viterbi method 36498.0
Joint Compression method includes Sentence Selection method 34919.0
Joint Constrained Learning method appliesTo Emotion Cause Pair Extraction task 38793.0