A semantically-enhanced evaluation framework for coreference resolution stratifies scores by semantic class using CNER overlays and supports targeted data augmentation for measurable gains.
InProceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), pages 216–225, Vancouver, Canada
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Interpretable Coreference Resolution Evaluation Using Explicit Semantics
A semantically-enhanced evaluation framework for coreference resolution stratifies scores by semantic class using CNER overlays and supports targeted data augmentation for measurable gains.