A New Multiword Expression Metric and Its Applications

被引：1

作者：

布凡 ^{[1
]}

朱小燕 ^{[1
]}

李明 ^{[2
]}

机构：

[1] State Key Laboratory of Intelligent Technology and Systems,Tsinghua National Laboratory for Information Science and Technology,Department of Computer Science and Technology,Tsinghua University

[2] David RCheriton School of Computer Science,University of Waterloo,Waterloo NL G,Canada

来源：

JournalofComputerScience&Technology | 2011年 / 26卷 / 01期

关键词：

multiword expressions; information distance; question answering; named entity extraction;

D O I：

暂无

中图分类号：

TP391.1 [文字信息处理];

学科分类号：

081203 ; 0835 ;

摘要：

<正>Multiword Expressions(MWEs) appear frequently and ungrammatically in natural languages.Identifying MWEs in free texts is a very challenging problem.This paper proposes a knowledge-free,unsupervised,and language-independent Multiword Expression Distance(MED).The new metric is derived from an accepted physical principle,measures the distance from an n-gram to its semantics,and outperforms other state-of-the-art methods on MWEs in two applications: question answering and named entity extraction.

引用

页码：3 / 13

页数：11

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