Title
A conditional mutual information based selectional association and word sense disambiguation
Abstract
This paper presents a conditional mutual information based selectional association to measure the selectional preference between two words in the same sentence. This selectional association is integrated conditional mutual information and a syntactic knowledge called link grammar. The selectional association is applied to indicative words selection for target words disambiguation. The experimental results show that this conditional mutual information based selectional association is able to select the appropriate word to indicate the appropriate meaning to the target word in different context.
Year
DOI
Venue
2009
10.1109/NLPKE.2009.5313854
NLPKE
Keywords
Field
DocType
natural language processing,conditional mutual information based selectional association,integrated conditional mutual information,link grammar,syntactic knowledge,word sense disambiguation,conditional mutual information,selectional association,selectional preference,computational modeling,clustering algorithms,integrated circuits,mutual information,couplings
Link grammar,Computer science,Mutual information,Artificial intelligence,Natural language processing,Cluster analysis,Conditional mutual information,Syntax,Sentence,Word-sense disambiguation
Conference
ISBN
Citations 
PageRank 
978-1-4244-4540-0
0
0.34
References 
Authors
14
3
Name
Order
Citations
PageRank
Xiao Guo173.88
Dayou Li200.68
Clapworthy, G.300.34