Papers by Muyao Niu

1 papers
A Label Informative Wide & Deep Classifier for Patents and Papers (D19-1)

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Challenge: Existing methods for classification of patents and papers are manual and limited . et al., a chinese research team has developed a label-informative classification model .
Approach: They propose a label-informative classifier based on the Wide & Deep structure . they train on millions of patents and transfer to papers by developing distant-supervised training set and domain-specific features.
Outcome: The proposed model performs comparable to the state-of-the-art model used in industry on patents and papers.

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