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Generative Entity Typing with Curriculum Learning. (arXiv:2210.02914v1 [cs.CL])
Oct. 7, 2022, 1:16 a.m. | Siyu Yuan, Deqing Yang, Jiaqing Liang, Zhixu Li, Jinxi Liu, Jingyue Huang, Yanghua Xiao
cs.CL updates on arXiv.org arxiv.org
Entity typing aims to assign types to the entity mentions in given texts. The
traditional classification-based entity typing paradigm has two unignorable
drawbacks: 1) it fails to assign an entity to the types beyond the predefined
type set, and 2) it can hardly handle few-shot and zero-shot situations where
many long-tail types only have few or even no training instances. To overcome
these drawbacks, we propose a novel generative entity typing (GET) paradigm:
given a text with an entity mention, …
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