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Scaling Up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title

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Hello and thank you for sharing your code. I am trying to understand better the OpenTag implementation and am getting the below error; Traceback (most recent call last): File "C:\Project\OpenTag_2019\env\lib\site-packages\fire\core.py",...

您好,我看了论文仅仅采用 bio的标注方式,这样模型的输出怎么让 属性值(value) 和 属性(attribute)一一正确对应呢?举个例子, title:“女童网面透气运动2019夏季新款韩版" attibute: "性别,季节,年份",我们可以看出 {性别:女童,季节:”夏季“,年份:”2019“,}, 然而模型(假设可以做到)只是依次在 ”女童“,”2019“,”夏季“ 中打了B I label,他并不可以自动让attibute 和 value 正确的对齐呀? 如果是这样的话,让attributes特别多的话,那完全不能对齐啊。以上是我浅薄的理解(应该是理解错了),希望您在任何有空的时间给我回复,谢谢!

hello, 看论文中,你们重新复现了 open tag for Keras,这个代码可以发出来学习一下吗?因为想用自己的数据,对这两种方式都进行实验学习一下,万分感谢啦

Hi xiaobai, Thank you for sharing your great repository. May I know whether I can use the raw.txt data for my own project? Thank you very much.