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Jul, 2023
UniTabE:针对异构表格数据的统一表格编码器的预训练
UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data
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Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu
TL;DR
本研究旨在将预训练模型的能力扩展到传统上被忽视但本质上具有挑战性的表格数据领域,并介绍了一种名为UniTabE的先进方法,能够以一致的方式处理表格数据,通过预训练和微调来提高语义表达效果。
Abstract
Recent advancements in
natural language processing
(NLP) have witnessed the groundbreaking impact of
pretrained models
, yielding impressive outcomes across various tasks. This study seeks to extend the power of <
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