Papers by Rilyn Han
Rethinking Efficient Multilingual Text Summarization Meta-Evaluation (2024.findings-acl)
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| Challenge: | a limited number of human annotations are required to evaluate multilingual summarization evaluation metrics. |
| Approach: | They propose a multilingual meta-evaluation framework that uses machine translation systems to transform a monolingual metaevaluations dataset into multilingual versions. |
| Outcome: | The proposed framework outperforms classical text-matching-based metrics in non-English languages. |