Reference-free Summarization Evaluation via Semantic Correlation and Compression Ratio (2022.naacl-main)
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| Challenge: | Existing evaluation metrics for summarization use human annotations as reference. |
| Approach: | They propose a new automatic reference-free evaluation metric that compares semantic distribution between source document and summary by pretrained language models and considers summary compression ratio. |
| Outcome: | The proposed metric is more consistent with human evaluation in terms of coherence, consistency, relevance and fluency. |
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