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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/855

Title: Survey of word sense disambiguation approaches
Authors: Zhou, Xiaohua
Han, Hyoil
Issue Date: May-2005
Publisher: American Association for Artificial Intelligence
Citation: 18th FLAIRS Conference, Clearwater Beach, Florida, May 15-17, 2005. Retrieved 6/21/2006 from http://www.ischool.drexel.edu/faculty/hhan/flairs05_han.pdf.
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.
URI: http://hdl.handle.net/1860/855
Appears in Collections:Faculty Research and Publications (IST)

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