gcn-over-pruned-trees:修剪后的依赖树上的图形卷积可改善关系提取(作者的PyTorch实现)

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修剪后的依赖树上的图卷积用于关系提取 此回购包含PyTorch代码,用于修剪。 本文/代码在修剪的依赖树上引入了图卷积神经网络(GCN),用于关系提取的任务。 还引入了一种特殊的树修剪技术,称为“以路径为中心的修剪”,以从树中消除不相关的信息,同时最大程度地维护相关信息。 与诸如各种基于LSTM的模型之类的序列模型相比,此GCN模型利用依赖结构桥接远程单词,因此提高了远程关系的性能。 与以前的递归模型(如TreeLSTM)相比,此GCN模型在获得更好的性能的同时,也更早地实现了并行化,因此效率更高。 参见下面的模型架构概述: 要求 Python 3(在3.6.5上测试) PyTorch(

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