New multiword expression metric and its applications
Date
2011
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science+Business Media
Abstract
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.
Description
item.page.type
Journal Article (peer-reviewed)
item.page.format
Text
Keywords
MULTI-WORD EXPRESSIONS, INFORMATION DISTANCE, NAMED ENTITY EXTRACTION, QUESTION ANSWER SYSTEMS, INFORMATION DISTANCE, SEMANTICS
Citation
Fan Bu, Xiao-Yan Zhu, & Ming Li (). A New Multiword Expression Metric and Its Applications. Journal of Computer Science and Technology, 26(1), 3-13.doi:10.1007/s11390-011-1106-y