Evaluating and Improving Factuality in Multimodal Abstractive Summarization (2022.emnlp-main)
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| Challenge: | Current factuality metrics do not account for vision modality, thus are not adequate for vision-and-language summarization. |
| Approach: | They propose a weighted combination of CLIPScore and BERTScore to evaluate factuality for abstractive document summarization. |
| Outcome: | The proposed metric outperforms existing factuality metrics on four factuity metric-evaluation benchmarks and is robust to human judgments. |
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