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Syntactic Analysis of Long Sentences Based on S-clauses

机译:基于S-Clauses的长句句法分析

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In dependency parsing of long sentences with fewer subjects than predicates, it is difficult to recognize which predicate governs which subject. To handle such syntactic ambiguity between subjects and predicates, an "S(ubject)-clause" is defined as a group of words containing several predicates and their common subject, and then an automatic S-clause segmentation method is proposed using semantic features as well as morpheme features. We also propose a new dependency tree to reflect. S-clauses. Trace information is used to indicate the omitted subject of each predicate. The S-clause information turned out to be very effective in analyzing long sentences, with an improved parsing performance of 4.5%. The precision in determining the governors of subjects in dependency parsing was improved by 32%.
机译:在依赖于较少的对象的依赖性句子,而不是谓词,很难识别哪个主题的谓词治理。 为了处理受试者和谓词之间的这种语法模糊,“s(Ubject)-crause”被定义为包含几个谓词和它们的公共主题的单词组,然后使用语义特征提出自动S-Clause分段方法 作为语素特征。 我们还提出了一个新的依赖树来反映。 S-条款。 跟踪信息用于指示每个谓词的省略主题。 S-Clarame信息证明是在分析长期句子方面非常有效的,提高解析性能为4.5%。 确定依赖解析中受试者调速器的精确度提高了32%。

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