CasRel:一种用于关系三重提取的新颖级联二进制标记框架。被ACL 2020接受-源码

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一种用于关系三重提取的级联二进制标记框架 该存储库包含该论文的源代码和数据集:一种用于关系三重提取的新颖级联二进制标记框架。,,,袁田,。 ACL2020。 概述 提出的CasRel框架的核心是全新的观点,即我们将关系建模为将主体映射到对象的函数,而不是将关系视为实体对上的离散标签。更确切地说,我们不是学习关系分类器f(s,o)-> r,而是学习特定于关系的标记f_ {r}(s)-> o,每个标记都可以识别给定主题下的可能对象。一个特定的关系。在这种框架下,关系三重提取是一个分为两个步骤的过程:首先,我们确定句子中所有可能的主语;然后针对每个主题,我们应用特定于关系的标记器来同时识别所有可能的关系和相应的对象。 要求 此仓库已在Python 3.7和Keras 2.2.4上进行了测试。主要要求是: tqdm 编解码器 凯拉斯伯特= 0.80.0 tensorflow-gpu = 1.

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