Quality Assessment of Collaboratively-Created Web Content with No Manual Intervention based on Soft Multi-View Generation

Expert Systems with Applications(2019)

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摘要
•We propose automatic ways for assessing the quality of collaborative Web content.•Our solutions exploit relaxed multiview learning (soft views).•Automatic soft views are created by finding clusters of highly correlated features.•Experiments on Wiki sets show that our solution reduces classification error by 20.•Our automatic views are very similar to those manually defined.
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关键词
Multi-view,Machine learning,Information retrieval,Automatic text quality assessment
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