Papers with evaluation metrics score

1 papers
Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration (2023.emnlp-main)

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Challenge: Existing variants of Kendall's tau have weaknesses in handling of ties, and in some situations can even be gamed.
Approach: They propose to use Kendall's tau to meta-evaluate machine translation evaluation metrics with a version of pairwise accuracy that gives metrics credit for correctly predicting ties and a tie calibration procedure that automatically introduces ties into metric scores.
Outcome: The proposed model gives metrics credit for correctly predicting ties and introduces ties into metric scores, enabling fair comparison between metrics that do and do not predict ties.

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