A Novel Neural Source Code Representation based on Abstract Syntax Tree--ICSE2019
一种新型的基于源代码表示的一种方法 最新的研究表明，基于AST的神经模型可以更好地表示源代码。然而AST的规模通常较大，现有的模型容易出现长期依赖的问题。 本文提出了ASTNN，一种新的基于AST的源代码表示得到神经网络。 现有的模型是工作在整个AST上，ASTNN将每个大型的AST分割成小语句树序列，并通过捕获语句的词法和句法知识将每一个语句树都编码成一个向量。然后可以得到一个语句向量序列。然后
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相关文章
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