Word Sense Disambiguation (WSD) is an important but challenging technique
in the area of natural language processing (NLP). Hundreds of WSD
algorithms and systems are available, but less work has been done
in regard to choosing the optimal WSD algorithms. This paper summarizes
the various knowledge sources used for WSD and classifies existing
WSD algorithms according to their techniques. The rationale, tasks,
performance, knowledge sources used, computational complexity, assumptions,
and suitable applications for each class of WSD algorithms are also
discussed. This paper will provide users with general knowledge for
choosing WSD algorithms for their specific applications or for further
adaptation.
%0 Generic
%1 Zhou2005
%A Zhou, X.
%A Han, H.
%B Proceedings of 18th FLAIRS Conference
%C Clearwater Beach, Florida
%D 2005
%I American Association for Artificial Intelligence
%K imported
%T Survey of word sense disambiguation approaches
%X Word Sense Disambiguation (WSD) is an important but challenging technique
in the area of natural language processing (NLP). Hundreds of WSD
algorithms and systems are available, but less work has been done
in regard to choosing the optimal WSD algorithms. This paper summarizes
the various knowledge sources used for WSD and classifies existing
WSD algorithms according to their techniques. The rationale, tasks,
performance, knowledge sources used, computational complexity, assumptions,
and suitable applications for each class of WSD algorithms are also
discussed. This paper will provide users with general knowledge for
choosing WSD algorithms for their specific applications or for further
adaptation.
@conference{Zhou2005,
abstract = {Word Sense Disambiguation (WSD) is an important but challenging technique
in the area of natural language processing (NLP). Hundreds of WSD
algorithms and systems are available, but less work has been done
in regard to choosing the optimal WSD algorithms. This paper summarizes
the various knowledge sources used for WSD and classifies existing
WSD algorithms according to their techniques. The rationale, tasks,
performance, knowledge sources used, computational complexity, assumptions,
and suitable applications for each class of WSD algorithms are also
discussed. This paper will provide users with general knowledge for
choosing WSD algorithms for their specific applications or for further
adaptation.},
added-at = {2009-09-12T19:19:34.000+0200},
address = {Clearwater Beach, Florida},
author = {Zhou, X. and Han, H.},
biburl = {https://www.bibsonomy.org/bibtex/2ad03bb94bfeeb68bbaf32040d4ea6d2f/mozaher},
booktitle = {Proceedings of 18th FLAIRS Conference},
file = {:Zhou2005.pdf:PDF},
interhash = {bfb86c3dbf30d86638760242b2f5ad46},
intrahash = {ad03bb94bfeeb68bbaf32040d4ea6d2f},
keywords = {imported},
month = {May 15-17},
owner = {Mozaher},
publisher = {American Association for Artificial Intelligence},
timestamp = {2009-09-12T19:19:44.000+0200},
title = {Survey of word sense disambiguation approaches},
year = 2005
}