使用动词网增加框架中句法子分类模式的覆盖率

2011 IEEE Fifth International Conference on Semantic Computing Pub Date : 2011-09-18 DOI:10.1109/ICSC.2011.33

Daniel Bauer, Owen Rambow

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引用次数: 6

摘要

我们分析了FrameNet中的词典注释在多大程度上体现了语料库中的句法子分类模式，并提出了一种基于动词网络的方法，以高精度将FrameNet中大多数定义的词汇单位的句法覆盖差距降低了98%。扩展的带注释的例句集包含的例句大约是FrameNet提供的例句的三倍。

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Increasing Coverage of Syntactic Subcategorization Patterns in FrameNet Using Verbnet

We analyze the extent to which lexicographic annotations in FrameNet exemplify syntactic sub categorization patterns in corpora and present a method based on Verb net to decrease syntactic coverage gaps for most defined lexical units in FrameNet by 98% with high precision. The expanded set of annotated example sentences comprises about three times as many example sentences than those provided by FrameNet.

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2011 IEEE Fifth International Conference on Semantic Computing

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