Papers by Yuanzhi Chen

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Challenge:	Various deep learning models have been successfully employed for this type of NLP task of text classification.
Approach:	They propose a mixed-domain transfer learning approach that only captures local context and exhibits poor generalization.
Outcome:	The proposed model captures local and global contexts, but lacks generalization . a combination of shallow network-based domain-specific models and convolutional neural networks can extract local and globally context directly from the target data in a hierarchical fashion, enabling it to offer a more generalizable solution.