基于知识图谱的医疗诊断知识问答系统
环境
- python 3.7
- tensorflow 1.14.0
- keras 2.2.0
- bert4keras 0.10.0
- gensim 3.8.3
- pyahocorasick 1.4.0
后期计划
系列视频持续更新中……,后期代码也将一并上传
本项目系列视频大纲如下,最后可能会有细微差别,影响不大
系列视频持续更新中……,后期代码也将一并上传
本项目系列视频大纲如下,最后可能会有细微差别,影响不大
Nested Named Entity Recognition Training Dataset: CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark url: https://tianchi.aliyun.
多标签文本分类任务 近年来随着深度学习的发展,模型参数的数量飞速增长。为了训练这些参数,需要更大的数据集来避免过拟合。然而,对于大部分NLP任务来说,构建大规模的标注数据集非常困难(成本过高),特别是对于句法和语义相关的任务。相比之下,大规模的未标注语料库的构建则相对容易。为了利用这些数据,我们可以
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