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Three-Word Dependency Relations and Their Application to Structural Ambiguity Resolution

机译:三词依存关系及其在结构歧义解析中的应用

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摘要

Resolving syntactic ambiguities is an important issue in natural language processing. By measuring the strengths of association that hold among the words in co-occurrence relations, one may be able to determine the correct syntactic structure for an ambiguous construction. In this paper, we propose a syntactic disambiguation method that uses lexical preferences estimated in three-word dependency relations and, at the same time, conduct a disambiguation experiment in Japanese noun phrases containing the particle no. The result shows a better performance than those of other methods, and indicates the applicability of the method to resolving other syntactic ambiguities that appear in coordinated constructions, prepositional phrase attachments, and the like.
机译:解决句法歧义是自然语言处理中的重要问题。通过测量在同现关系中的单词之间保持的联想强度,人们可以为歧义结构确定正确的句法结构。在本文中,我们提出了一种句法消歧方法,该方法使用在三词依赖关系中估计的词汇偏爱,同时对包含质点号的日语名词短语进行消歧实验。结果显示出比其他方法更好的性能,并表明该方法可用于解决在协调结构,介词短语附件等中出现的其他句法歧义。

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