DocumentCode :
2261278
Title :
A conditional mutual information based selectional association and word sense disambiguation
Author :
Guo, Xiao ; Li, Dayou ; Clapworthy, Gordon
Author_Institution :
Univ. Bedfordshire, Luton, UK
fYear :
2009
fDate :
24-27 Sept. 2009
Firstpage :
1
Lastpage :
7
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.
Keywords :
natural language processing; conditional mutual information based selectional association; integrated conditional mutual information; link grammar; syntactic knowledge; word sense disambiguation; Area measurement; Equations; Information entropy; Mutual information; Natural language processing; Natural languages; Predictive models; Random variables; Service robots; Taxonomy; Conditional mutual information; selectional association; selectional preference; word sense disambiguation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-4538-7
Electronic_ISBN :
978-1-4244-4540-0
Type :
conf
DOI :
10.1109/NLPKE.2009.5313854
Filename :
5313854
Link To Document :
بازگشت