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端到端的基于知识图谱的问答系统,分为实体识别和关系分类两部,在BERT基础上做多任务联合训练。
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CNN、BiLSTM、Bert(3layers)对Bert(12layers)模型的蒸馏的keras实现
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Doc2EDAG的tensorflow实现
Python 8 1
中文实体关系抽取
Python 3
R-BERT on DDI Bio dataset
Python 3 7
莱斯杯:全国第二届“军事智能机器阅读”挑战赛解决方案,持续维护中
Python 2
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