How to pick out token instances of English verb-particle constructions

被引：4
|
作者：
Kim, Su Nam [1 ]
Baldwin, Timothy [1 ]
机构：
[1] Univ Melbourne, Dept Comp Sci & Software Engn, Parkville, Vic 3010, Australia
来源：
LANGUAGE RESOURCES AND EVALUATION | 2010年 / 44卷 / 1-2期
基金：
澳大利亚研究理事会;
关键词：
Verb-particle construction; Multiword expression; Identification;
D O I：
10.1007/s10579-009-9099-7
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We propose a method for automatically identifying individual instances of English verb-particle constructions (VPCs) in raw text. Our method employs the RASP parser and analysis of the sentential context of each VPC candidate to differentiate VPCs from simple combinations of a verb and prepositional phrase. We show that our proposed method has an F-score of 0.974 at VPC identification over the Brown Corpus and Wall Street Journal.
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页码：97 / 113
页数：17
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