BriefGPT.xyz
May, 2022
通过将数字视为实体来提高下游任务性能
Number Entity Recognition
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Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
TL;DR
本研究利用最先进的自然语言处理模型及其分类能力，将数字分类为实体，从而使NLP模型在多项任务中具备更好的表现，超越了BERT和RoBERTa的基线分类结果。
Abstract
numbers
are essential components of text, like any other word tokens, from which
natural language processing
(NLP) models are built and deployed. Though
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