Expanding Verb Coverage in Cyc with VerbNet
Expanding Verb Coverage in Cyc with VerbNet
复制标题
使用 VerbNet 扩展 Cyc 中的动词覆盖范围
DOI：
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发表时间：
2010
期刊：
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通讯作者：
C. McFate
中科院分区：
文献类型：
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作者：
C. McFate
一个健壮的语义框架词典是使用本体的自然语言理解系统的基本要素。然而，创建词汇资源，准确地捕捉语义表示是一个持久的问题。在内容的绝对数量使得手工创作效率低下的情况下，计算机化方法经常遭受过度的一般性和意义消歧的困难。本文描述了一种半自动的方法来创建动词语义框架的Cyc本体中包含的信息转换成一个Cyc可用的格式VerbNet。此方法捕获动词类型之间的含义差异，并使用WordNet、VerbNet和Cyc之间的现有连接来指定各个动词之间的区别（如果可用）。这个方法为OpenCyc提供了27，909帧，OpenCyc目前没有帧，也可以用来扩展ResearchCyc。我们发现，这些框架导致增加了20%的研究循环动词词汇分析的样本句子。
A robust dictionary of semantic frames is an essential element of natural language understanding systems that use ontologies. However, creating lexical resources that accurately capture semantic representations en masse is a persistent problem. Where the sheer amount of content makes hand creation inefficient, computerized approaches often suffer from over generality and difficulty with sense disambiguation. This paper describes a semi-automatic method to create verb semantic frames in the Cyc ontology by converting the information contained in VerbNet into a Cyc usable format. This method captures the differences in meaning between types of verbs, and uses existing connections between WordNet, VerbNet, and Cyc to specify distinctions between individual verbs when available. This method provides 27,909 frames to OpenCyc which currently has none and can be used to extend ResearchCyc as well. We show that these frames lead to a 20% increase in sample sentences parsed over the Research Cyc verb lexicon.