A large-scale classification of English verbs
A large-scale classification of English verbs
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DOI：
10.1007/s10579-007-9048-2
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发表时间：
2008-03-01
影响因子：
2.7
通讯作者：
Palmer, Martha
中科院分区：
文献类型：
--
作者：
Kipper, Karin;Korhonen, Anna;Palmer, Martha
词汇分类已被证明在支持各种自然语言处理（NLP）任务方面非常有用。英语中最大的动词分类是Levin（1993）的工作，它根据句法和语义属性定义了动词的分组。VerbNet（VN）（Kipper et al. 2000; Kipper-Schmidt 2005）-一个广泛的英语计算动词词典-提供了详细的Levin类的句法语义描述。虽然包含的类对于一些NLP使用来说足够广泛，但它们并不全面。Korhonen和Repubcoe（2004）提出了一个重要的扩展莱文的分类，其中包括57个新的类别的动词没有涵盖（全面）莱文。Korhonen和Ryant（未发表）最近提出了另一个扩展，包括53个额外的类。本文将介绍这两个扩展到VN的集成。其结果是一个全面的莱文风格的英语动词分类提供了超过90%的命题银行数据（帕尔默等人2005年）的令牌覆盖率，因此可以为实际应用非常有用。
Lexical classifications have proved useful in supporting various natural language processing (NLP) tasks. The largest verb classification for English is Levin's (1993) work which defines groupings of verbs based on syntactic and semantic properties. VerbNet (VN) (Kipper et al. 2000; Kipper-Schuler 2005)-an extensive computational verb lexicon for English-provides detailed syntactic-semantic descriptions of Levin classes. While the classes included are extensive enough for some NLP use, they are not comprehensive. Korhonen and Briscoe (2004) have proposed a significant extension of Levin's classification which incorporates 57 novel classes for verbs not covered (comprehensively) by Levin. Korhonen and Ryant (unpublished) have recently proposed another extension including 53 additional classes. This article describes the integration of these two extensions into VN. The result is a comprehensive Levin-style classification for English verbs providing over 90% token coverage of the Proposition Bank data (Palmer et al. 2005) and thus can be highly useful for practical applications.