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- W3023708870 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." @default.
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- W3023708870 date "2020-04-30" @default.
- W3023708870 modified "2023-10-03" @default.
- W3023708870 title "Paraphrasing vs Coreferring: Two Sides of the Same Coin" @default.
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- W3023708870 doi "https://doi.org/10.48550/arxiv.2004.14979" @default.
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