用于内网涉密标准文本的检索方法、电子设备以及介质
本申请涉及文本检索技术领域,具体涉及一种用于内网涉密标准文本的检索方法、电子设备以及介质。其中方法包括:在浏览器侧通过第一预训练模型获得第一向量;对第一向量进行第一降维获得第二向量;对第一向量进行第二降维获得第三向量;基于第二向量和第三向量生成第一请求报文;第一请求报文被发送至服务器,服务器基于第一请求报文获得查询结果,查询结果被发送至浏览器。本申请解决了涉密文件检索存在的检索过程脱密、检索结果准确性低的问题。
APPLICANTS
Browse source applicant names and unchanged name fields from imported patent records.
These are name-based results, not verified legal entities. Identical names may refer to different people or organizations; aliases and historical names are not merged.
This name was extracted from a distinct applicant node in the source XML.
1 indexed patent records
Patent counts refer to distinct records held by this site, not an applicant’s complete portfolio. A joint name field is not a single company.
Verified corpus date coverage and last import time are not currently available. Publication dates on patent records are not import dates. Cached directory results may lag behind new imports.
Search the local original applicant field containing this full text. Results may include joint lists or longer names; this is not an exact identity search.
Search patents with this applicant condition