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IMAGINE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation

Automatic evaluations for natural language generation (NLG) conventionally rely on token-level or embedding-level comparisons with the text references. This is different from human language processing, for which visual imagination often improves comprehension.

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Cite this as

Wanrong Zhu, Xin Eric Wang, An Yan, Miguel Eckstein, William Yang Wang (2024). Dataset: IMAGINE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. https://doi.org/10.57702/6xb0q0i7

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2106.05970
Author	Wanrong Zhu
More Authors	Xin Eric Wang An Yan Miguel Eckstein William Yang Wang