paraphrase-id-tensorflow:用于复述识别任务的各种模型和代码(Manhattan LSTM,Siamese LSTM + Matching Layer,BiMPM),特别是Quora Question Pairs数据集-源码

上传者: 42123456 | 上传时间: 2021-06-30 21:38:50 | 文件大小: 91KB | 文件类型: ZIP
释义张量流 Tensorflow(1.1.0)中实现了多种用于复述的模型和代码。 我非常小心地记录了代码,并解释了整个模型中各个步骤的操作。 希望对于那些想开始使用Tensorflow的人来说,这将是一个教学示例代码! 到目前为止,此仓库已实现: 基本的暹罗LSTM基准,大致基于的模型 如所述,带有附加“匹配层”的Siamese LSTM模型 。 的或多或少的最新的双边多视角匹配模型 。 欢迎添加更多模型/优化或修补现有模型的公关! 模型代码的大部分位于 很多数据处理代码都来自受其启发,如果您喜欢此项目的结构,请检查一下它们! 安装 该项目是在Python 3.5中开发

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