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Deeper syntax for better semantic parsing

机译:更深的语法可以更好地进行语义解析

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Syntax plays an important role in the task of predicting the semantic structure of a sentence. But syntactic phenomena such as alternations, control and raising tend to obfuscate the relation between syntax and semantics. In this paper we predict the semantic structure of a sentence using a deeper syntax than what is usually done. This deep syntactic representation abstracts away from purely syntactic phenomena and proposes a structural organization of the sentence that is closer to the semantic representation. Experiments conducted on a French corpus annotated with semantic frames showed that a semantic parser reaches better performances with such a deep syntactic input.
机译:句法在预测句子的语义结构中起着重要作用。但是诸如交替,控制和提升之类的句法现象往往会混淆语法和语义之间的关系。在本文中,我们使用比通常更深入的语法来预测句子的语义结构。这种深层的句法表示法从纯粹的句法现象中抽象出来,并提出了一个更接近语义表示法的句子结构组织。在带有语义框架的法国语料库上进行的实验表明,通过如此深层的语法输入,语义解析器可以获得更好的性能。

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