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Relation Extraction as Two-way Span-Prediction

2020-10-09 22:23:21
Amir DN Cohen, Shachar Rosenman, Yoav Goldberg

Abstract

The current supervised relation classification (RC) task uses a single embedding to represent the relation between a pair of entities. We argue that a better approach is to treat the RC task as a Question answering (QA) like span prediction problem. We present a span-prediction based system for RC and evaluate its performance compared to the embedding based system. We achieve state-of-the-art results on the TACRED and SemEval task 8 datasets.

Abstract (translated)

URL

https://arxiv.org/abs/2010.04829

PDF

https://arxiv.org/pdf/2010.04829.pdf


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