Interpretable Coreference Resolution Evaluation Using Explicit Semantics (2026.acl-long)
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| Challenge: | Existing evaluation methods for coreference resolution are limited by semantic and contextual information. |
| Approach: | They propose a semantically-enhanced evaluation framework for coreference resolution that assigns semantic labels to nominal mentions and propagates them to entire coreference clusters. |
| Outcome: | The proposed framework uncovers systematic weaknesses obscured by standard metrics. |
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| Challenge: | despite significant progress on entity coreference resolution, there is a general lack of understanding of what has been improved. |
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| Challenge: | Existing coreference resolution models suffer from mention proposal. |
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| Challenge: | Recent coreference resolution systems use search algorithms to identify mentions and resolve coreference. |
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