Extracting Prerequisite Relations Among Concepts in Wikipedia

Extracting prerequisite relations among concepts is helpful for users to find out the background knowledge and determine reading order in a corpus. We investigate the problem and propose an effective method and multiple features to capture prerequisite relations between concepts in Wikipedia. Our experiments on eight datasets from both English and Chinese Wikipedia show that the proposed method outperforms existing prerequisite learning methods.

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