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

被引：0
|
作者：
Su Nam Kim
Timothy Baldwin
机构：
[1] University of Melbourne,Department of Computer Science and Software Engineering
来源：
Language Resources and Evaluation | 2010年 / 44卷
关键词：
Verb-particle construction; Multiword expression; Identification;
D O I：
暂无
中图分类号：
学科分类号：
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：16
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