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Exploring Structural Encoding for Data-to-Text Generation
The effectiveness of the proposed encoder is evaluated both extrinsically and intrinsically by shuffling input data without changing meaning of that data.
HCDIR: End-to-end Hate Context Detection, and Intensity Reduction model for online comments
We masked the 50\% hateful words of the comments identified as hateful and predicted the alternative words for these masked terms to generate convincing sentences.
Pathologist-Like Explanations Unveiled: an Explainable Deep Learning System for White Blood Cell Classification
However, the capability of deep learning models to explain their WBC classification remains largely unexplored.
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