A large-scale classification of English verbs

被引:139
|
作者
Kipper, Karin [3 ]
Korhonen, Anna [1 ]
Ryant, Neville [3 ]
Palmer, Martha [2 ]
机构
[1] Univ Cambridge, Comp Lab, Cambridge CB3 0FD, England
[2] Univ Colorado, Dept Linguist, Boulder, CO 80309 USA
[3] Univ Penn, Dept Informat & Comp Sci, Philadelphia, PA 19104 USA
基金
英国工程与自然科学研究理事会; 美国国家科学基金会;
关键词
lexical classification; lexical resources; computational linguistics;
D O I
10.1007/s10579-007-9048-2
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 Korhonen and Ryant (unpublished) have recently proposed another extension including 53 additional classes.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.
引用
收藏
页码:21 / 40
页数:20
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