Paper Info
Title
Predicting relative prominence in noun-noun compounds
Abstract
There are several theories regarding what influences prominence assignment in English noun-noun compounds. We have developed corpus-driven models for automatically predicting prominence assignment in noun-noun compounds using feature sets based on two such theories: the informativeness theory and the semantic composition theory. The evaluation of the prediction models indicate that though both of these theories are relevant, they account for different types of variability in prominence assignment.
Year
Venue
Keywords
2011
ACL (Short Papers)
prominence assignment,noun-noun compound,corpus-driven model,informativeness theory,semantic composition theory,relative prominence,english noun-noun compound,different type,prediction model
Field
DocType
Volume
Noun compounds,Computer science,Noun,Natural language processing,Artificial intelligence,Machine learning
Conference
P11-2
Citations 
PageRank 
References 
0
0.34
4
Authors
2
Name
Order
Citations
PageRank
Taniya Mishra18911.66
Srinivas Bangalore21319157.37