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想请问一下，sbert做实体链接时，symptom 、disease、drug的预向量化是通过什么方式做的？项目没发现这一步 #6

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13227721183 opened this issue Oct 31, 2022 · 2 comments
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想请问一下，sbert做实体链接时，symptom 、disease、drug的预向量化是通过什么方式做的？项目没发现这一步 #6

13227721183 opened this issue Oct 31, 2022 · 2 comments

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@13227721183
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想请问一下，sbert做实体链接时，symptom 、disease、drug的预向量化是通过什么方式做的？项目没发现这一步
@pen-ho
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pen-ho commented Nov 2, 2022

想请问一下，sbert做实体链接时，symptom 、disease、drug的预向量化是通过什么方式做的？项目没发现这一步

https://www.sbert.net/examples/applications/semantic-search/README.html 可以看sbert这个文档，先把symptom 、disease、drug的词通过sbert 进行encode成向量然后导出，就是我embedding下的pkl文件。然后用util.semantic_search对离线计算好的emb和线上输入的query的emb计算相似度查出得分最高的字典中的词。

@ZHAOFEGNSHUN
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请问这部分代码可以贴一下吗？谢谢您

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@pen-ho @13227721183 @ZHAOFEGNSHUN