Web: http://arxiv.org/abs/2205.03011

May 9, 2022, 1:10 a.m. | Weiran Pan, Wei Wei, Feida Zhu

cs.CL updates on arXiv.org arxiv.org

Fine-grained entity typing (FET) aims to assign proper semantic types to
entity mentions according to their context, which is a fundamental task in
various entity-leveraging applications. Current FET systems usually establish
on large-scale weakly-supervised/distantly annotation data, which may contain
abundant noise and thus severely hinder the performance of the FET task.
Although previous studies have made great success in automatically identifying
the noisy labels in FET, they usually rely on some auxiliary resources which
may be unavailable in real-world applications …


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