A Semi-Supervised Approach for Gender Identification

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Knowledge Triples

Source Entity	Relationship	Target Entity
Author Profiling Task	uses	Semi-Supervised Learning Method
Gender Identification Task	measuredBy	Accuracy Metric
k Nearest Neighbors Method	appliesTo	Gender Identification Task
Publicly Available Data Material	supports	Gender Identification Task