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在分词与词性标注的基础上,编写正则表达式识别古汉语时间描述。注意:目前暂时不支持识别采用干支纪年法的时间描述。
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
一个关于百度2019语言与智能技术竞赛信息抽取 (http://lic2019.ccf.org.cn/kg) 的简单Demo, 模型采用BERT+CNN ( https://github.com/Wangpeiyi9979/IE-Bert-CNN )。 Demo使用Flask搭建
Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)
[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案
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