Papers with PreCo
A Simple Unsupervised Approach for Coreference Resolution using Rule-based Weak Supervision (2022.starsem-1)
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| Challenge: | state-of-the-art coreference models rely on labeled data, but an end-to-end model is needed to solve this problem. |
| Approach: | They propose an approach that leverages an end-to-end neural model in settings where labeled data is unavailable. |
| Outcome: | The proposed approach outperforms the previous best unsupervised model and outperformed the rule-based model on English OntoNotes corpus. |
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution (D18-1)
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| Challenge: | Existing methods for coreference resolution are based on word2vec-like representations of entities. |
| Approach: | They propose a large-scale English dataset for coreference resolution . they use 38K documents and 12.5M words from English-speaking preschoolers . |
| Outcome: | The proposed dataset is more efficient with higher training-test overlap than OntoNotes . the study also shows that mention detection and clustering are more efficient on PreCo . |
Moving on from OntoNotes: Coreference Resolution Model Transfer (2021.emnlp-main)
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| Challenge: | Academic neural models for coreference resolution (coref) are typically trained on OntoNotes and model improvements are benchmarked on that dataset. |
| Approach: | They aim to quantify transferability of coref models based on the number of annotated documents available in the target dataset. |
| Outcome: | The proposed model improvements are consistent with the state-of-the-art results on PreCo. |
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. |