Papers by Chi-Yang Hsu

1 papers
Learning to Rank Visual Stories From Human Ranking Data (2022.acl-long)

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Challenge: Existing studies on visual storytelling (VIST) use automated evaluation metrics for text generation.
Approach: They develop a Vrank metric that repurposes human evaluation results for automatic evaluation.
Outcome: The proposed model is more accurate than existing metrics and is generalizable to textual stories.

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