BriefGPT.xyz
May, 2019
使用预训练BERT模型微调进行专利分类
PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT Model
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Jieh-Sheng Lee, Jieh Hsiang
TL;DR
本文提出了一种基于预训练BERT模型微调的专利分类方法，使用专利权利要求单独进行分类，与使用CNN的词嵌入相比，性能优于现有方法，在CPC子类水平上提供了一个大型USPTO-3M数据集。
Abstract
In this work we focus on fine-tuning a pre-trained
bert model
and applying it to
patent classification
. When applied to large datasets of over two millions patents, our approach outperforms the state of the art b
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