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REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction. (arXiv:2206.05123v3 [cs.CL] UPDATED)
Aug. 17, 2022, 1:11 a.m. | Sheng Zhang, Patrick Ng, Zhiguo Wang, Bing Xiang
cs.CL updates on arXiv.org arxiv.org
Relation extraction is an important but challenging task that aims to extract
all hidden relational facts from the text. With the development of deep
language models, relation extraction methods have achieved good performance on
various benchmarks. However, we observe two shortcomings of previous methods:
first, there is no unified framework that works well under various relation
extraction settings; second, effectively utilizing external knowledge as
background information is absent. In this work, we propose a knowledge-enhanced
generative model to mitigate these …
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