Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/78434
Title: Word sense disambiguation with distribution estimation
Authors: Chan, Y.S. 
Ng, H.T. 
Issue Date: 2005
Citation: Chan, Y.S.,Ng, H.T. (2005). Word sense disambiguation with distribution estimation. IJCAI International Joint Conference on Artificial Intelligence : 1010-1015. ScholarBank@NUS Repository.
Abstract: A word sense disambiguation (WSD) system trained on one domain and applied to a different domain will show a decrease in performance. One major reason is the different sense distributions between different domains. This paper presents novel application of two distribution estimation algorithms to provide estimates of the sense distribution of the new domain data set. Even though our training examples are automatically gathered from parallel corpora, the sense distributions estimated are good enough to achieve a relative improvement of 56% when incorporated into our WSD system.
Source Title: IJCAI International Joint Conference on Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/78434
ISSN: 10450823
Appears in Collections:Staff Publications

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