Verb Class Disambiguation Using Informative Priors
Verb Class Disambiguation Using Informative Priors
复制标题
使用信息先验进行动词类消歧
DOI：
10.1162/089120104773633385
复制
发表时间：
2004
影响因子：
9.3
通讯作者：
Chris Brew
中科院分区：
文献类型：
--
作者：
Mirella Lapata;Chris Brew
Levin(1993)对动词类别的研究是词汇语义学中广泛使用的资源。在她的框架中，一些动词，如给予，没有类别歧义。但其他动词，如WRITE，有几个可供选择的类。我们将Levin的清单扩展到一个简单的动词类别歧义统计模型。使用这个模型，我们能够在不使用消除歧义的语料库的情况下生成对歧义动词的偏好。此外，我们还表明，这些偏好作为动词词义消歧的先决条件是有用的。
Levin's (1993) study of verb classes is a widely used resource for lexical semantics. In her framework, some verbs, such as give, exhibit no class ambiguity. But other verbs, such as write, have several alternative classes. We extend Levin's inventory to a simple statistical model of verb class ambiguity. Using this model we are able to generate preferences for ambiguous verbs without the use of a disambiguated corpus. We additionally show that these preferences are useful as priors for a verb sense disambiguator.