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Update FAQ.md #12528

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May 30, 2024
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Update FAQ.md #12528

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2 changes: 1 addition & 1 deletion doc/doc_ch/FAQ.md
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Expand Up @@ -247,7 +247,7 @@ A：可以看下训练的尺度和预测的尺度是否相同，如果训练的
1. 对于单一版式、或者版式差异不大的应用场景，可以基于识别场景的一些先验信息，将识别内容进行配对； 比如运用表单结构信息：常见表单"姓名"关键字的后面，往往紧跟的就是名字信息
2. 对于版式多样，或者无固定版式的场景， 需要借助于NLP中的NER技术，给识别内容中的某些字段，赋予key值

由于这部分需求和业务场景强相关，难以用一个统一的模型去处理，目前PPOCR暂不支持。 如果需要用到NER技术，可以参照Paddle团队的另一个开源套件: https://github.com/PaddlePaddle/ERNIE， 其提供的预训练模型ERNIE, 可以帮助提升NER任务的准确率。
由于这部分需求和业务场景强相关，难以用一个统一的模型去处理，目前PPOCR暂不支持。 如果需要用到NER技术，可以参照Paddle团队的另一个开源套件: [PaddlePaddle/ERNIE](https://github.com/PaddlePaddle/ERNIE)， 其提供的预训练模型ERNIE, 可以帮助提升NER任务的准确率。

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