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Source Entity Source Type Relationship Target Entity Type Paper ID
Maximum Entropy method uses Context Words material 760.0
Maximum Entropy method uses Contextual Features material 33451.0
Maximum Entropy method uses Feature Set material 18075.0
Maximum Entropy method uses L1 Regularization method 36594.0
Maximum Entropy method uses L2 Regularization method 36594.0
Maximum Entropy method uses NTCIR Opinion Analysis material 22952.0
Maximum Entropy method usesFeature Context Window material 19817.0
Maximum Entropy Algorithm method appliesTo DiMSUM task 22444.0
Maximum Entropy Classifier method achieves Accuracy metric 13335.0
Maximum Entropy Classifier method achieves F Score metric 28364.0
Maximum Entropy Classifier method achieves Predictive Accuracy metric 6461.0
Maximum Entropy Classifier method appliedIn Machine Translation task 3336.0
Maximum Entropy Classifier method appliesTo Chinese Semantic Role Labeling task 29569.0
Maximum Entropy Classifier method appliesTo Natural Language Processing otherentity 6034.0
Maximum Entropy Classifier method appliesTo Paraphrase Recognition task 22820.0
Maximum Entropy Classifier method appliesTo Phrase Ordering task 34370.0
Maximum Entropy Classifier method assesses Precision metric 15526.0
Maximum Entropy Classifier method assesses Recall metric 15526.0
Maximum Entropy Classifier method captures Argument Relationships otherentity 29569.0
Maximum Entropy Classifier method comparesWith Google Ngram Corpus material 6339.0