Papers with multimodal neural architecture

1 papers
A Genre-Aware Attention Model to Improve the Likability Prediction of Books (D18-1)

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Challenge: Existing methods for likability prediction are time-consuming and too rigid.
Approach: They propose a novel neural architecture that incorporates genre supervision to assign weights to individual feature types based on the characteristics of each book.
Outcome: The proposed method outperforms state-of-the-art methods and achieves competitive results.

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