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        <title>Paraphrasing vs Coreferring: Two Sides of the Same Coin</title>
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    <abstract>We study the potential synergy between two different NLP tasks, both confronting predicate lexical variability: identifying predicate paraphrases, and event coreference resolution. First, we used annotations from an event coreference dataset as distant supervision to re-score heuristically-extracted predicate paraphrases. The new scoring gained more than 18 points in average precision upon their ranking by the original scoring method. Then, we used the same re-ranking features as additional inputs to a state-of-the-art event coreference resolution model, which yielded modest but consistent improvements to the model’s performance. The results suggest a promising direction to leverage data and models for each of the tasks to the benefit of the other.</abstract>
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    <identifier type="doi">10.18653/v1/2020.findings-emnlp.440</identifier>
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%0 Conference Proceedings
%T Paraphrasing vs Coreferring: Two Sides of the Same Coin
%A Meged, Yehudit
%A Caciularu, Avi
%A Shwartz, Vered
%A Dagan, Ido
%S Findings of the Association for Computational Linguistics: EMNLP 2020
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F meged-etal-2020-paraphrasing
%X We study the potential synergy between two different NLP tasks, both confronting predicate lexical variability: identifying predicate paraphrases, and event coreference resolution. First, we used annotations from an event coreference dataset as distant supervision to re-score heuristically-extracted predicate paraphrases. The new scoring gained more than 18 points in average precision upon their ranking by the original scoring method. Then, we used the same re-ranking features as additional inputs to a state-of-the-art event coreference resolution model, which yielded modest but consistent improvements to the model’s performance. The results suggest a promising direction to leverage data and models for each of the tasks to the benefit of the other.
%R 10.18653/v1/2020.findings-emnlp.440
%U https://aclanthology.org/2020.findings-emnlp.440
%U https://doi.org/10.18653/v1/2020.findings-emnlp.440
%P 4897-4907

Markdown (Informal)

[Paraphrasing vs Coreferring: Two Sides of the Same Coin](https://aclanthology.org/2020.findings-emnlp.440) (Meged et al., Findings 2020)

• Paraphrasing vs Coreferring: Two Sides of the Same Coin (Meged et al., Findings 2020)

ACL

• Yehudit Meged, Avi Caciularu, Vered Shwartz, and Ido Dagan. 2020. Paraphrasing vs Coreferring: Two Sides of the Same Coin. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 4897–4907, Online. Association for Computational Linguistics.