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Jan, 2023
KAER: 为实体解析而设计的知识增强预训练语言模型
KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution
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Liri Fang, Lan Li, Yiren Liu, Vetle I. Torvik, Bertram Ludäscher
TL;DR
本研究提出了一种名为KAER的新框架,该框架使用外部知识增强预训练语言模型的实体解析性能,并在多个数据集上实现了更好的表现,尤其是在“脏数据”上表现更加健壮。
Abstract
entity resolution
has been an essential and well-studied task in data cleaning research for decades. Existing work has discussed the feasibility of utilizing
pre-trained language models
to perform
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