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Source Entity Source Type Relationship Target Entity Type Paper ID
Maximum Coverage Problem method formulatedAs Question Database material 18857.0
Maximum Entropy method achieves Average Precision metric 28920.0
Maximum Entropy method achieves F Score metric 23320.0
Maximum Entropy method achieves F-Measure metric 28920.0
Maximum Entropy method achieves Pearson Coefficient metric 28920.0
Maximum Entropy method adopts Tag Sequence otherentity 43208.0
Maximum Entropy method appliesTo Keyword Indexing task 18075.0
Maximum Entropy method appliesTo Part of Speech Prediction task 13012.0
Maximum Entropy method appliesTo Rheumatology Notes material 35298.0
Maximum Entropy method appliesTo Semantic Role Labeling task 42401.0
Maximum Entropy method comparesWith Minimum Divergence method 41348.0
Maximum Entropy method comparesWith Word Sense Disambiguation task 5684.0
Maximum Entropy method creates ExperimentalResults material 18075.0
Maximum Entropy method evaluatedBy Accuracy metric 1881.0
Maximum Entropy method evaluatedIn Boston University Radio News Corpus material 24191.0
Maximum Entropy method examines Syntactic Pattern Features otherentity 43208.0
Maximum Entropy method explores Inequality Constraints method 43177.0
Maximum Entropy method improvedBy Feature Clustering method 36719.0
Maximum Entropy method improvedBy Feature Selection method 36719.0
Maximum Entropy method improves Model Accuracy metric 42150.0