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  1. KG-and-QA-demo KG-and-QA-demo Public

    以开源的结构化魔兽世界人物数据为基础,构建了一个neo4j框架的知识图谱,并设计了一个简单的问答系统demo

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  2. Bert_Text_Sim Bert_Text_Sim Public

    基于Bert的文本相似度训练框架框架,包含了cross_encoder(Bert A,B句)和bi_encoder(sentenceBert和SimCSE)两种常见的文本相似度

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  3. Bert_NER Bert_NER Public

    基于BERT的NER模型,集成了LSTM,CRF网络结构,FGM,EMA等提分trick,还有单独的MRC框架

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  4. Bert_classification Bert_classification Public

    基于Bert的分类模型,里面继承了多种trick可供使用。

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  5. bert4keras bert4keras Public

    Forked from bojone/bert4keras

    keras implement of transformers for humans

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