Identifying Verbal Collocations in Wikipedia Articles

被引：0
作者：
Nagy, Istvan T. [1 ]
Vincze, Veronika [2 ]
机构：
[1] Univ Szeged, Dept Informat, Arpad Ter 2, H-6720 Szeged, Hungary
[2] MTA SZTE, Res Grp Artificial Intelligence, H-6720 Lajos, Hungary
来源：
TEXT, SPEECH AND DIALOGUE, TSD 2011 | 2011年 / 6836卷
关键词：
multiword expressions; verbal collocations; light verb constructions; verb-particle constructions; Wikipedia;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we focus on various methods for detecting verbal collocations, i.e. verb-particle constructions and light verb constructions in Wikipedia articles. Our results suggest that for verb-particle constructions, POS-tagging and restriction on the particle seem to yield the best result whereas the combination of POS-tagging, syntactic information and restrictions on the nominal and verbal component have the most beneficial effect on identifying light verb constructions. The identification of multiword semantic units can be successfully exploited in several applications in the fields of machine translation or information extraction.
引用
收藏
页码：179 / 186
页数：8
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