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Total Relationships: 103278

Source Entity Source Type Relationship Target Entity Type Paper ID
Decision Tree Learning method evaluatedIn Microsoft Research Paraphrase Corpus material 28750.0
Decision Tree Learning method improves F Score metric 29400.0
Decision Tree Regression method comparesWith Support Vector Regression method 22645.0
Decision Tree based Co Attention model method improves F1 Score metric 38270.0
Decision Tree based Co Attention model method uses Co attention Self attention networks method 38270.0
Decision Tree based Co Attention model method uses Decision Tree based Evidence model method 38270.0
Decision Tree based Evidence model method testedOn PHEME material 38270.0
Decision Tree based Evidence model method testedOn RumourEval material 38270.0
Decision Trees method achieves Accuracy metric 12881.0
Decision Trees method appliesTo Prague Dependency Treebank material 16422.0
Decision Trees method appliesTo Speech Recognition task 6621.0
Decision Trees method appliesTo Thai Word Segmentation task 12651.0
Decision Trees method estimates Contextual POS Probabilities metric 6403.0
Decision Trees method evaluatedBy EDR Japanese Annotated Corpus material 35099.0
Decision Trees method evaluatedBy F1 Metrics metric 24670.0
Decision Trees method isBasedOn Feature Selection method 41244.0
Decision Trees method usedFor Erroneous Word Recognition task 28582.0
Decision Trees method usedFor Review Summarization task 23921.0
Decision Trees method usedIn Maximum Entropy method 13012.0
Decision Trees method usedIn Transformation-Based Learning method 24271.0