iamQA:中文wiki百科QA问答系统,使用了CCKS2016数据的NER模型和CMRC2018的阅读理解模型,还有W2V词向量搜索,使用torchserve部署

上传者: 42137723 | 上传时间: 2023-12-22 16:42:56 | 文件大小: 636KB | 文件类型: ZIP
iamQA 中文wiki百科问答系统,本项目使用了torchserver部署模型 知识库:wiki百科中文数据 模型:使用了的NER(CCKS2016数据)和阅读理解模型(CMRC2018),还有Word2Vec词向量搜索。 详细内容可以参考文章: 项目框架 模块介绍 ChineseWiki-master 功能:清洗wiki中文数据 相关项目: NER 功能:从问题中识别实体 例子:qurry:周董是谁? 》》 entiy:周董 模型:ALBERT 数据集:CCKS2016KBQA 相关项目: Word2vec 功能:如果实体不在知识库,则用W2V搜索近似实体 例子:entity:周董 >> ['周杰伦','JAY','林俊杰'] 相关项目: Entity linking 功能:根据NER或W2V得到的mention entity搜索知识库 Reader 功能:阅读理解文段,精确定位答

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