Papers by Chengyang Huang

2 papers
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information (P19-1)

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Challenge: Existing work on commenting based on textual content is focused on other modalities, such as graphics and images.
Approach: They propose a task to integrate multiple modalities into automatic commenting . they construct a large-scale dataset and propose 'co-attention' model to capture dependency between textual and visual information.
Outcome: The proposed model can achieve better performance than baselines.
CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality (2023.acl-long)

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Challenge: Current datasets bias in the English language while leaving other languages underexplored.
Approach: They propose a Chinese answer-to-sequence dataset with high quality and large scale . they propose encoding space for two hybrid knowledge resources to convert this task to a graph-totext problem.
Outcome: The proposed method is effective in generating textual descriptions for the Chinese answer-to-sequence dataset.

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