A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
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 gooddblp:conf/ijcai/ChanN05 fatcat:d4el2uoxbfegffynf272mslsaq