KPQA: A Metric for Generative Question Answering Using Keyphrase Weights (2021.naacl-main)
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| Challenge: | Existing n-gram similarity metrics fail to discriminate the incorrect answers due to the free-form of the answer. |
| Approach: | They propose a new metric that assigns different weights to each token via keyphrase prediction to judge the correctness of GenQA. |
| Outcome: | The proposed metric has a significantly higher correlation with human judgments than existing metrics in various datasets. |
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