ASGCN:EMNLP 2019论文的代码和预处理数据集,标题为“基于方面的图卷积网络的基于方面的情感分类”

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澳新网 ASGCN -为SPECT小号pecificģ拍摄和ÇonvolutionalÑetwork 论文的代码和预处理数据集,标题为“” ,,和。 更新 :我介绍了一个新的模型,该模型包含在有向依赖关系树上的双向图卷积网络。 2020年10月5日:由于下载时字向量已损坏(例如,Gloves.840B.300d.txt通常太大),许多人可能会遇到。 因此,我们在rest14数据集中发布了经过的单词嵌入,作为腌制的文件以及供您验证可重复性。 要求 Python 3.6 PyTorch 1.0.0 SpaCy 2.0.18 numpy的1.15.4 用法 使用以下命令安装软件包和语言模型 pip install spacy 和 python -m spacy download en 生成图形数据 python dependency_graph.py 使用此链接下载经过预训练的

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