Papers by Meixi Wu

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Challenge:	Existing deep learning models lack the capability to encode explicit domain knowledge to model complex causal relationships among variables.
Approach:	They propose a model that uses a weighted version of MaxSAT to model logic inference . they propose to use this model to rectify erroneous predictions from deep neural networks .
Outcome:	The proposed model combines the benefits of high-level feature learning, knowledge reasoning, and structured learning with observable performance gain for aspect-based opinion extraction.