@incollection{Banerjee2002,
abstract = {This paper presents an adaptation of Lesk’s dictionarybased word sense disambiguation algorithm. Rather than using a standard dictionary as the source of glosses for our approach, the lexical database WordNet is employed. This provides a rich hierarchy of semantic relations that our algorithm can exploit. This method is evaluated using the English lexical sample data from the Senseval-2 word sense disambiguation exercise, and attains an overall accuracy of 32\%. This represents a significant improvement over the 16\% and 23\% accuracy attained by variations of the Lesk algorithm used as benchmarks during the SENSEVAL-2 comparative exercise among word sense disambiguation systems.},
annote = {
        From Duplicate 2 ( 
        
        
          An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet
        
        
         - Banerjee, Satanjeev; Pedersen, Ted )

        
        

        

        

      },
author = {Banerjee, Satanjeev and Pedersen, Ted},
booktitle = {Computational Linguistics and Intelligent Text Processing},
doi = {10.1007/3-540-45715-1\_11},
editor = {Gelbukh, Alexander},
isbn = {978-3-540-43219-7},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
month = feb,
pages = {136--145},
publisher = {Springer Berlin Heidelberg},
title = {{An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet}},
url = {http://dx.doi.org/10.1007/3-540-45715-1\_11},
volume = {2276},
year = {2002}
}