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LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution

2022-05-25 10:39:46
Shon Otmazgin, Arie Cattan, Yoav Goldberg
arXiv_CL
 
Abstract

While coreference resolution typically involves various linguistic challenges, recent models are based on a single pairwise scorer for all types of pairs. We present LingMess, a new coreference model that defines different categories of coreference cases and optimize multiple pairwise scorers, where each scorer learns a specific set of linguistic challenges. Our model substantially improves pairwise scores for most categories and outperforms cluster-level performance on Ontonotes. Our model is available in this https URL

Abstract (translated)

URL

https://arxiv.org/abs/2205.12644

PDF

https://arxiv.org/pdf/2205.12644.pdf

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