Papers with IM^2 framework

1 papers
IM^2: an Interpretable and Multi-category Integrated Metric Framework for Automatic Dialogue Evaluation (2022.emnlp-main)

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Challenge: Evaluation metrics for dialogue systems are expensive and time-consuming . current evaluation metrics focus on a single quality or several qualities .
Approach: They propose an interpretable, multi-faceted, and controllable framework to combine dialogue metrics which are good at measuring different qualities.
Outcome: The proposed framework integrates a large number of evaluation metrics to improve the performance of the model.

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